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        <title>Frontiers in Physics | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/physics</link>
        <description>RSS Feed for Frontiers in Physics | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-10-25T14:23:25.688+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1964122</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1964122</link>
        <title><![CDATA[Fractional thermal memory effects in a rotating magneto-photo-thermoelastic anisotropic fiber-reinforced semiconductor half-space within the framework of modified photo-thermoelasticity]]></title>
        <pubdate>2026-10-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Adel Emam</author><author>M. Yusuf</author><author>A. El-Dali</author><author>Zaki Mrzog Alaofi</author>
        <description><![CDATA[This work develops a mathematical framework to investigate a rotating anisotropic fiber-reinforced semiconductor half-space subjected to optical excitation and an external magnetic field while incorporating fractional thermal memory effects. The proposed model is formulated within the modified photo-thermoelasticity theory, allowing the coupled interactions among thermal, mechanical, carrier-diffusion, and electromagnetic fields to be analyzed in a unified framework. The heat-conduction equation is generalized using a fractional-order thermal operator, and the resulting dimensionless governing equations are solved analytically through the normal-mode technique combined with an eigenvalue-based approach. Silicon is considered for numerical implementation, and the effects of the fractional-order parameter, rotational speed, and magnetic-field intensity on temperature, carrier concentration, displacement, and stress distributions are examined. The results demonstrate that fractional thermal memory significantly influences wave propagation and energy transport, while rotation and magnetic loading markedly modify the mechanical response through inertia and magnetoelastic coupling. The proposed model provides useful insights into coupled multiphysical processes relevant to advanced semiconductor and optoelectronic applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1974701</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1974701</link>
        <title><![CDATA[A review of error analysis and compensation methods in white-light interferometric surface topography measurement]]></title>
        <pubdate>2026-10-23T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Yudong Lian</author><author>Yifan Shan</author><author>Luyang Xie</author><author>Xinyu Wang</author><author>Yulei Wang</author><author>Zhiwei Lu</author>
        <description><![CDATA[Surface topography directly affects the functionality and performance of workpieces, while its high-accuracy and repeatable measurement is essential for quality control and precision manufacturing. White-light interferometry, benefiting from the unique advantages of broadband low-coherence light sources, enables high-accuracy measurement while effectively avoiding phase ambiguity and related issues, and therefore plays an important role in surface metrology. However, various error sources in practical measurements can cause deviations from ideal measurement conditions, directly affecting the accuracy and reliability of surface topography reconstruction. Therefore, an in-depth investigation of error mechanisms and the development of effective compensation strategies are essential for ensuring the measurement reliability of white-light interferometry and promoting its application in broader engineering scenarios. This review systematically examines error processing in white-light interferometry. The fundamental principles of white-light interferometry are first described based on an interferometric signal model. The potential error sources and their physical mechanisms are then analyzed in detail, covering environmental vibration, sample characteristics, the batwing effect, and algorithmic errors. Research progress over the past two decades in suppressing these errors is systematically classified and summarized. Based on these developments, future trends in white-light interferometry are further discussed. This review aims to provide a systematic theoretical reference and technical guidance for error analysis and performance improvement in white-light interferometry.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1918870</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1918870</link>
        <title><![CDATA[Stochastic dynamics simulation of the focused electron beam induced deposition process]]></title>
        <pubdate>2026-10-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ilia A. Solov’yov</author><author>Alexey Prosvetov</author><author>Gennady Sushko</author><author>Andrey V. Solov’yov</author>
        <description><![CDATA[This work presents a novel and general multiscale computational methodology for modeling the focused electron beam–induced deposition (FEBID) process. The approach is based on stochastic dynamics implemented using the MBN Explorer and MBN Studio software packages and provides a probabilistic description of the complex sequence of physical and chemical processes that govern FEBID, including precursor adsorption, diffusion, dissociation, and desorption. The developed framework enables simulations under experimentally realistic spatial and temporal conditions while retaining molecular-level resolution. An exemplary set of model parameters has been derived from atomistic simulations to demonstrate the methodology’s capabilities; however, the primary goal of this work is not parameter optimization, but rather the establishment of a general and transferable modeling framework applicable to a broad range of precursors, substrates, and irradiation conditions. As a representative case, the FEBID of W(CO)6 precursors on a hydroxylated SiO2–H substrate is investigated, showing how the method reproduces key experimental trends and reveals the microscopic mechanisms of deposit formation. The developed multiscale approach provides a robust foundation for predictive simulations of irradiation-driven fabrication processes and their applications in 3D nanoprinting and nanoscale materials engineering.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1947068</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1947068</link>
        <title><![CDATA[TBM excavation-induced deformation and failure of jointed surrounding rock: mechanisms and control measures]]></title>
        <pubdate>2026-10-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xinran Xue</author><author>Kai Zhang</author><author>Bosong Yu</author><author>Lianjie Fu</author>
        <description><![CDATA[Open-type tunnel boring machines improve roadway excavation efficiency, but their front structure delays complete support near the excavation face. This delay can trigger severe instability in rock masses containing persistent joints. Using the Yuandian No. 2 Coal Mine as an engineering case, this study applies a three-dimensional Ubiquitous-Multiple-Joint model to conduct a comparative sensitivity analysis of progressive TBM excavation and delayed support. The effects of joint orientation, the number of joint sets, and joint bonding strength are evaluated through plastic-zone and displacement responses. For vertically dipping joints, increasing the strike angle from 0° to 90° increases the plastic-zone volume from 14.0 to 41.0 m3 and the maximum displacement from 12.5 to 58.9 mm. Increasing the number of joint sets from one to three enlarges the plastic-zone volume by 384.5% and the maximum displacement by 224.8%, while shifting the response from matrix shear failure to joint-controlled and mixed failure. Increasing the bonding-strength ratio from 0 to 0.2 reduces the plastic-zone volume by 62.4% and the maximum displacement by 75.5%. Within the simulated cases, joint-related failure becomes limited at bonding-strength ratios of 0.8 and 1.0. These sensitivity trends, together with field geological observations and construction constraints, inform a site-specific control scheme combining advance grouting, primary support, and secondary reinforcement. Field monitoring shows that displacement rates decline markedly 60–80 days after excavation and subsequently stabilize. The results indicate how measurable joint characteristics are associated with instability patterns and provide qualitative guidance for site-specific support during open-type TBM excavation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1973953</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1973953</link>
        <title><![CDATA[Advances in photoacoustic spectroscopy for human breath analysis]]></title>
        <pubdate>2026-10-22T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Beile Jiang</author><author>Xiao Geng</author><author>Tianbai Zhao</author><author>Xukun Yin</author>
        <description><![CDATA[Human exhaled breath contains volatile organic compounds and inorganic gases that reflect metabolic activity and may provide information about disease. Breath sampling is non-invasive, repeatable, and well suited to longitudinal monitoring, making it attractive for disease screening and physiological assessment. Photoacoustic spectroscopy combines high sensitivity with compact, low-volume gas cells and has therefore become an important technique for breath-gas measurement. Its performance in practical breath analysis, however, is influenced not only by optical and acoustic sensitivity but also by breath sampling, humidity, gas exchange, tubing delay, and molecular adsorption. This mini review summarizes recent developments in PAS-based breath analysis, with emphasis on targeted gas quantification, multicomponent measurement, and breath fingerprinting. PAS has been used to detect exhaled biomarkers such as CO, CH4, acetone, isoprene, and propofol, with studies gradually extending from standard gas mixtures and simulated breath to measurements in volunteers, exploratory patient-cohort studies and preliminary clinical applications. Multicomponent analysis has benefited from multiwavelength excitation, spectral fitting, acoustic-mode allocation, and sample preconcentration, improving measurement capability in complex gas matrices and over broad concentration ranges. Breath fingerprinting approaches based on composite volatile organic compound responses have also shown potential for distinguishing asthma, chronic obstructive pulmonary disease, and other conditions, although most studies remain limited to small, single-center cohorts. Further progress will require standardized breath collection, reliable correction of humid-breath matrix effects, simultaneous measurement of multiple biomarkers, comparison with established reference methods, and validation in independent multicenter studies. Improving the link between photoacoustic signals, chemical composition, and clinical interpretation will be essential for the wider use of PAS in human breath analysis.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1914618</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1914618</link>
        <title><![CDATA[Entanglement, localized poles, and non-Markovian crossovers of asymmetrically coupled V-type emitters in a photonic crystal]]></title>
        <pubdate>2026-10-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Gamal M. Ismail</author><author>Reem Altuijri</author><author>Heba Kadry</author><author>Naif S. Alharthi</author><author>Sara A. Ghorashi</author><author>Shaaban M. Shaaban</author><author>Betty Wan Niu Voon</author><author>Mohamed Hafez</author><author>Abdel-Haleem Abdel-Aty</author>
        <description><![CDATA[We study entanglement dynamics and non-Markovian behavior for two V-type three-level emitters embedded in a one-dimensional photonic crystal when the resonant dipole-dipole interaction is asymmetric between the two optical channels. The asymmetry is parametrized by δγ=(γ1−γ2)/(γ1+γ2) at fixed mean coupling γ̄=(γ1+γ2)/2, and the dynamics are obtained from exact Bromwich inversion of the full 4×4 Laplace-domain amplitude system without Markov or pole-truncation approximations. We show that asymmetric coupling displaces the two bright-sector localized poles in opposite directions: one pole moves deeper into the band gap, while the other approaches the radiation continuum and disappears at a geometry-dependent localized-pole merger asymmetry δγ*(η). A first-order pole-displacement formula derived from the exact bright-sector denominator reproduces the local pole motion in the weak-asymmetry regime. In the time domain, the localized-pole merger is mirrored by the suppression of late-time entanglement revivals and by the degradation of the protected entanglement plateau. For the orthogonal geometry, where the cross-memory kernel vanishes, the two V-channels decouple exactly and the loss of protection is traced to unequal dressing of two independent bright sectors. A comparison with the symmetry-adapted operational lower bound NBLP(sym) to the fully optimized Breuer–Laine–Piilo functional reveals a strong monotonic association with the late-time entanglement-revival amplitude, with Spearman coefficient ρS=0.94, but essentially no global association with the high-entanglement lifetime, ρS=−0.09. This contrast shows that information backflow tracks revival activity much more directly than it determines long-time entanglement protection, for which dipole geometry remains an independent control parameter.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1990813</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1990813</link>
        <title><![CDATA[Exploring the thermodynamic and transport properties of hadron spectra in proton-proton collisions at s=13 TeV]]></title>
        <pubdate>2026-10-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Abd Haj Ismail</author><author>Jihane Ben Slimane</author>
        <description><![CDATA[We present a comprehensive analysis of the transverse momentum spectra of π++π−, K++K−, and p+p̄ produced in proton–proton collisions at s=13 TeV across ten multiplicity classes using the thermodynamically consistent Tsallis distribution. The extracted freeze-out parameters, namely the effective temperature Teff, the non-extensive parameter q, and the freeze-out volume V, are utilized to compute several thermodynamic and transport quantities including the expansion coefficient α, mean free path λ, Knudsen number Kn, and isothermal compressibility κT. The effective temperature and the non-extensive parameter, fitted separately for each species, show a mass ordering: Teffp>TeffK>Teffπ and qπ>qK>qp. Since these parameters come from independent fits, the ordering reflects the different spectral shapes of the three species rather than a single thermal source with one common temperature. This is consistent with the expectation that lighter particles are more sensitive to hard-scattering contributions. The freeze-out volume decreases monotonically with decreasing multiplicity, reflecting the shrinking collision geometry. The hierarchy Vπ>VK>Vp is suggestive of species-dependent decoupling behavior. Because V is an effective, model-dependent normalization volume and the three species are fitted independently, this ordering should not be interpreted as direct evidence for sequential freeze-out. All derived quantities exhibit consistent mass-dependent ordering and multiplicity trends, showing a smooth transition from a dense, collision-dominated regime (MC-1) in high-multiplicity events to a more dilute system in the highest multiplicity classes. The multiplicity class MC-10 shows deviations from the smooth trends seen in the other classes. These may reflect a growing contribution from hard processes, fit instability, or limited statistics, and we discuss this as an open point rather than as a clear transition. The increase of the Knudsen number in the highest multiplicity class shows that the hydrodynamic description becomes less reliable, although the system is still far from free-streaming. These findings provide critical insights into the microscopic properties of the produced medium and its evolution from small to large systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1920937</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1920937</link>
        <title><![CDATA[Scalable solution-cast flexible graphite sheet current collectors for flexible solid-state supercapacitors]]></title>
        <pubdate>2026-10-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Sowmiya Selvaraj</author><author>Anand Sreekantan Thampy</author>
        <description><![CDATA[Designing mechanically compliant energy storage systems for wearables and portable devices remains challenging. Traditional metal-based current collectors face issues like rigidity and interfacial instability. To overcome these limitations, the flexible graphite sheet current collector is fabricated by solution casting a 50:50 wt% graphite:PVC composite, and its electrical performance is tested under various bending conditions. The conductivity and surface roughness of the graphite sheet are 2608.53 ± 231.6 S m-1 (mean ± SD, n = 3) and 16.74 nm, respectively. Further, to study the interaction between the electrode and electrolyte on the graphite substrate, flexible supercapacitors are fabricated using acid-functionalized carbon nanotubes as the electrode material, which is chosen due to its continuous electron transport even under bending. The electrochemical studies are carried out using electrolytes of Na2SO4, H2SO4, and KOH. The three-electrode configuration exhibited the maximum specific capacitance of 2913 mF g-1 in 1 M Na2SO4. The fabricated flexible symmetric supercapacitor device with PVA-H2SO4 exhibited a high specific capacitance of 578 mF g-1 at a current density of 5 mA g-1 (6 mg active material), rate capability of 87% (the specific capacitance retained at 15 mA g-1 relative to 5 mA g-1), and 77% capacitance retention even after 10,000 cycles. Overall, the developed flexible conductive platform provides new insights into graphite-mediated current collector engineering and demonstrates strong potential for next-generation wearable energy storage systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1992029</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1992029</link>
        <title><![CDATA[Cornertronics meets altermagnetism]]></title>
        <pubdate>2026-10-21T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Yang Li</author>
        <description><![CDATA[Cornertronics uses spatially separated topological corner states in two-dimensional second-order topological insulator nanodisks as an information degree of freedom. The rapid development of altermagnetism provides a natural opportunity to introduce spin into cornertronics without net magnetization. When corner states at different positions carry opposite spin polarizations, spin–corner coupling emerges; when spin and corner are also linked to layer polarization, spin–corner–layer coupling arises. This mini review traces the development of altermagnetic cornertronics from altermagnet-induced corner states in engineered heterostructures to these couplings in monolayer and bilayer materials. Focusing on Cr2Se2O, pentagonal MnS2 and MnC2, Mg(CoN)2, V2 WS4, and NiZrI6, we compare their material characteristics and proposed control by electric fields, strain, Néel-vector orientation, and stacking. We conclude with an outlook on the field.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1982647</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1982647</link>
        <title><![CDATA[Sorbitol-nitrate pyrolysis as a method for phase composition control of bismuth oxides and composites based thereon]]></title>
        <pubdate>2026-10-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Oleg Kaminsky</author><author>Evgeny Kirichenko</author><author>Konstantin Makarevich</author>
        <description><![CDATA[A novel preparatively simple method for the synthesis of bismuth oxide compounds based on the pyrolysis of sorbitol-nitrate complexes is proposed. Nitrate ions act as an oxidizer, while sorbitol serves as an organic reductant. The method involves a few steps, does not require sophisticated equipment or expensive reagents, and can therefore be classified as a green technology. The possibility of targeted synthesis of both individual polymorphic modifications of Bi2O3 (α, β, and amorphous) and two-component composites of β-Bi2O3/(BiO)2CO3 and α-, β-Bi2O3/Bi composition is demonstrated. The phase composition of the products is controlled by two parameters: the molar ratio of Bi(NO3)3·5H2O to sorbitol (from 0.4 to 4.66) and the gas atmosphere during pyrolysis (Air, Ar, CO2). Comparison of thermodynamic calculations (ΔrH°298, ΔrG°298, Tad) with synchronous thermal analysis data allowed us to explain the preferential formation of different polymorphic modifications. Owing to the bio-inertness of bismuth, the method is promising for the development of environmentally safe alternatives to toxic lead and cadmium compounds in photocatalysis, sensing, and energy storage applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1873810</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1873810</link>
        <title><![CDATA[Multi-source risk coupling transmission in high-end equipment manufacturing enterprises under unstable and uncertain environments]]></title>
        <pubdate>2026-10-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Chen Wei</author><author>Ping-feng Liu</author><author>Wan-ying Rao</author>
        <description><![CDATA[High-end equipment manufacturing enterprises face severe operational instability and economic losses due to the coupled amplification effects and multiple transmissions of risks, such as technological blockades and geopolitical conflicts. Therefore, this study aims to promptly identify potential failure-prone business nodes within complex business processes under multi-source risk coupling. This study proposes a GERT-Choquet Fuzzy (GERT-CF) model. First, large language models and KPE-BERTopic are integrated to construct a business process GERT network representing multi-source risk coupling. Second, the Choquet fuzzy integral is employed to quantify nonlinear aggregated risks. Based on this, equivalent transfer functions are derived for serial, mutually exclusive parallel, hybrid parallel, converging parallel, and cyclic network structures. Finally, the instability degree and uncertainty degree of business activities and business segments are measured to evaluate risks. The research reveals the distinct transmission laws of multi-source risk coupling across different network structures. It demonstrates how risks amplify, superimpose, and propagate through concurrent and convergent paths. By applying these transmission laws, the model successfully identifies high-risk business activities and segments and maps the specific mechanisms of risk transmission throughout the entire manufacturing process. Overcoming the limitations of traditional single-source transmission models, this paper introduces an AI-driven network methodology to quantitatively evaluate complex multi-source risk coupling. It provides a robust scientific basis for proactive risk prevention, node failure identification, and system reliability enhancement in advanced manufacturing.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1942665</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1942665</link>
        <title><![CDATA[Vision-based energy efficiency optimization of environmental art installations under cyber-physical-social systems]]></title>
        <pubdate>2026-10-19T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Shuqi Meng</author><author>Tengyu Jiang</author><author>Qi Huang</author>
        <description><![CDATA[Environmental art installations play an increasingly important role in the digital transformation of modern urban public spaces. However, in the complex cyber-physical-social systems, the existing energy consumption control of the installations often adopts static rule allocation, lacking dynamic perception of human interaction intentions, resulting in inefficient energy consumption. To address this issue, this paper proposes a framework for collaborative energy efficiency optimization of environmental art installations based on visual perception and the cyber-physical-social system architecture. Firstly, a self-supervised visual perception model is constructed to capture and analyze the spatio temporal interaction dynamics of the crowd, converting the social attributes of the environment into quantifiable digital features; without any manual annotation, it achieves an angle error of 3.65° and an orthogonality score of 0.895 on the EnvDesign-22K validation set Secondly, a multi-objective coupling mechanism between the energy consumption of physical devices and visual perception data is established, and the reverse-advantage particle swarm optimization algorithm is introduced to efficiently solve the high-dimensional and nonlinear energy dynamic allocation problem. Extensive experiments, including a hardware-in-the-loop physical sand table driven by 30-day real load logs and a field deployment at a public festival, show that, compared with the static rule baseline, the proposed framework reduces the overall energy consumption by 36.94% while raising the interactive quality score from 0.72 to 0.93, and shortens the perception-to-actuation latency by 47.0% relative to the deep reinforcement learning baseline Deep Deterministic Policy Gradient, effectively verifying the elasticity of the system’s computing resource allocation. This research not only provides solid technical support for the energy management of intelligent environmental installations but also offers a new theoretical perspective for exploring the sustainable development of urban infrastructure in the context of global digital economy and low-carbon transformation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1926459</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1926459</link>
        <title><![CDATA[Ab initio optical spectroscopy made simple with VIKING]]></title>
        <pubdate>2026-10-19T00:00:00Z</pubdate>
        <category>Methods</category>
        <author>Vladimir Bačić</author><author>Michele Guerrini</author><author>Jannis Krumland</author><author>Augusto F. Oliveira</author><author>Caterina Cocchi</author><author>Ilia A. Solov’yov</author>
        <description><![CDATA[Ab initio computational optical spectroscopy is an important tool in the study of nanoscale systems, useful for corroborating experimental results and predicting new phenomena. However, practical use of ab initio methods is often challenging to non experts. In particular, setting up the underlying calculations and processing the results can be tedious and time consuming. To address these issues, we have developed a user-friendly on-line tool for facilitating computations of optical spectra and laser-induced dynamics within the framework of time-dependent density-functional theory. Our tool, based on the Octopus package and integrated into the VIKING web application, is designed as a well-defined workflow, in which input, execution control and analysis of the results is done in the web browser through a simple user interface. This allows non-experts to approach these non-trivial simulations and proficient users to streamline procedures and focus entirely on the scientific, rather than technical aspects of their research.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.2005622</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.2005622</link>
        <title><![CDATA[Correction: Review of oxygen measurement and relevance to the mechanisms of FLASH radiotherapy]]></title>
        <pubdate>2026-10-16T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Brian W. Pogue</author><author>David I. Hunter</author><author>Corbin Narita</author><author>William S. Thomas</author><author>Xu Cao</author><author>Harold M. Swartz</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1986095</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1986095</link>
        <title><![CDATA[Mass as topological charge: an axiomatic framework for the equivalence principle and topological phase transitions in spiral spacetime]]></title>
        <pubdate>2026-10-16T00:00:00Z</pubdate>
        <category>Hypothesis and Theory</category>
        <author>Liwei Ji</author>
        <description><![CDATA[This paper establishes an axiomatic differential-geometric framework for spiral spacetime. Static mass is defined as a conserved flux charge of spacetime singularities. Under explicitly stated divergence-free conditions, its invariance under divergence-preserving diffeomorphisms yields a conservation-law interpretation of mass conservation with geometric-flux structure. Within this framework, gravitational and inertial mass are represented as two response projections of the same topological charge. The equivalence principle is not derived from the axioms; rather, the framework provides a common mathematical carrier for it and yields a falsifiable corollary: gravitational and inertial mass must modulate synchronously and in equal proportion under external driving. Parametric-resonance-driven topological phase transitions are investigated using Floquet stability theory. Under testable phenomenological hypotheses H1–H3, two quantitative residual-mass predictions are presented, with residual mass fractions ranging from 2.58% to 3.93%. A four-level rescaling-gain principle is formulated as an efficiency optimization constrained by global conservation laws. The mass-energy balance requires an open-system flux-exchange channel, stated explicitly as an open validity postulate. Five falsifiable experimental predictions are provided for future verification.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1941838</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1941838</link>
        <title><![CDATA[Bifurcation, chaotic behavior, sensitivity analysis, and optical soliton solutions to the time-fractional symmetric regularised-long-wave equation]]></title>
        <pubdate>2026-10-15T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Moazzma Inayat</author><author>Muhammad Abbas</author><author>Alina Alb Lupas</author><author>Ahmet Bekir</author><author>Hissah Albaqami</author>
        <description><![CDATA[The time-fractional Symmetric Regularized-Long-Wave equation that emerges in simulations of long-term water flow models is efficiently solved in this paper using a new auxiliary equation method. The model takes into consideration the conformable fractional derivatives. Bell-shaped, anti-bell-shaped, kink, and anti-kink soliton solutions are obtained using this method. To illustrate the spatial and temporal evolution properties of the generated solutions, two-dimensional, contour, and three-dimensional diagrams are drawn. Additionally, a planar dynamical system is obtained using galilean transformation in order to conduct the bifurcation analysis, chaotic behaviour, and sensitivity of the model. The study offers crucial information on the stability of the solutions and the reactions that take place when different types of solutions are used. Whenever a parameter varies, bifurcation analysis is used to examine how the qualitative behaviour of the system changes. Additionally, it offers better understanding of time series, phase portraits, chaotic behaviour, and the equation’s sensitivity analysis to external disturbances.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1992795</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1992795</link>
        <title><![CDATA[Deep learning assisted screening of light-responsive piezoelectric crystals for next-generation photoacoustic and photothermal spectroscopy]]></title>
        <pubdate>2026-10-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Peng Chen</author><author>Gaiying Meng</author><author>Yongming Fu</author><author>Jie Ma</author>
        <description><![CDATA[IntroductionHigh piezoelectric materials are promising alternative resonator materials for quartz-enhanced photoacoustic spectroscopy (QEPAS) and laser-induced thermoelastic spectroscopy (LITES), as enhanced piezoelectric response directly improves acoustic detection sensitivity. However, the discovery of materials combining high piezoelectricity with visible-light responsiveness remains a significant challenge.MethodsWe developed an improved crystal graph convolutional neural network (I-CGCNN) model for high-throughput screening of visible-light-responsive piezoelectric crystals. The model incorporates a specialized algorithm for learning bond feature vectors and synchronizes the updates of atomic and bond feature vectors during multilayer convolution. Using this model, we re-calculated the bandgap and piezoelectric moduli of all piezoelectric crystals in the Materials Project database.ResultsThe I-CGCNN model significantly outperforms existing graph neural networks in predictive accuracy for both bandgap and piezoelectric modulus. The high-throughput screening identified several promising candidate crystals that exhibit both strong piezoelectric response and visible-light responsiveness.DiscussionThe screened candidates show considerable potential for piezo-phototronic applications, and the superior predictive performance of I-CGCNN suggests that it provides a powerful tool for accelerating the discovery of novel piezoelectric semiconductors for next-generation photoacoustic and photothermal spectroscopy.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1957749</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1957749</link>
        <title><![CDATA[Analysis of the excitation degree of J/ψ emission sources from squared momentum transfer spectra in high-energy collisions]]></title>
        <pubdate>2026-10-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qi Wang</author><author>Jia-Rong Shi</author><author>You-Long Wang</author>
        <description><![CDATA[This study analyzes squared momentum transfer spectra of J/ψ produced in high-energy photon–proton (γp→J/ψ+p) processes within electron–proton (ep) collisions, as measured by the GlueX, J/ψ-007, and ZEUS Collaborations. Monte Carlo calculations are employed in the analysis of these spectra, where the momentum transfer occurs from the incident γ to the emitted J/ψ or, equivalently, from the target proton to the emitted proton. In the calculations, the Erlang distribution and Tsallis–Lévy function are used to describe the transverse momentum spectra of the emitted particles. Our results indicate that, except for the first point, the average transverse momentum of the J/ψ, along with the initial- and final-state excitation degrees of the J/ψ emission source, roughly decrease from lower to higher photon energies and photon–proton center-of-mass energies. The photon energy is approximately 10 GeV, and the photon–proton center-of-mass energy ranges from 50 GeV to 290 GeV. This indicates that the excitation functions of the related parameters in ep collisions differ from those in heavy-ion collisions within similar energy ranges.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1943577</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1943577</link>
        <title><![CDATA[TENSORnet: a thermodynamically motivated entropy protocol for infrastructure-induced metabolic arrest detection in cross-asset financial networks]]></title>
        <pubdate>2026-10-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ntebogang Dinah Moroke</author>
        <description><![CDATA[Conventional financial risk systems treat physical infrastructure as a fixed, frictionless background, an assumption that breaks down when electricity supply becomes binding. Markets then enter metabolic arrest: information-processing capacity collapses under a documented inversion between cross-asset correlation and entropy. TENSORnet (Temporal Entropy-aware Network for Systemic Onset Recognition) is a thermodynamically motivated protocol that fuses a VIX-calibrated inhibitory gate, grounded in Landauer’s energy-information bound, with cross-asset Shannon entropy. Rather than assuming architectural value, this study directly tests whether the protocol provides classification value beyond infrastructure-stage information alone. TENSORnet—applied to 2,838 JSE trading days (January 2015–April 2026) across seven asset classes under South Africa’s load-shedding crisis, using a three-way train/validation/test split motivated by the documented escalation history (Stage 4 first occurred February 2019)—achieves F1 = 99.55% and AUC = 0.9996 on the held-out test period (2020–2026, 1,581 days) at the primary Stage 3+ definition; a DeLong test finds this statistically indistinguishable from infrastructure-stage information alone (p=0.326). Ablation confirms that the gate is load-bearing relative to purely market-based alternatives (AUC collapses to 0.568 without it; GARCH and network-connectedness achieve AUC ≤ 0.62), and the entropy layer outperforms a volatility-based substitute and a gradient-boosted benchmark under matched small-sample conditions, though it does not exceed the stage information itself. A cross-scale divergence signal, proposed as an advance-warning mechanism, is directly tested and does not survive (95% false alarm rate)—reported as a negative result. The densification paradox is empirically supported and confirmed via permutation testing against a mechanical-artefact null: rising cross-asset correlation accompanies falling entropy under infrastructure stress (r=−0.468 at Stage 4+ vs. r=−0.184 at Stage 0, p<0.001)—this study’s most robust independent finding. A port-Hamiltonian neural ODE extension specifies an unvalidated conceptual pathway for future research. This study offers a disciplined example of testing, rather than assuming, whether a thermodynamically motivated architecture provides value beyond simpler alternatives, reporting results honestly where they complicate the original hypothesis.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fphy.2026.1972563</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fphy.2026.1972563</link>
        <title><![CDATA[Digital marketing and social network effects in new energy vehicle diffusion: evolutionary dynamics in a dual-layer heterogeneous network]]></title>
        <pubdate>2026-10-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Wanting Zhao</author><author>De Xia</author><author>Yundong Zhang</author>
        <description><![CDATA[In the context of the carbon peaking and carbon neutrality strategy and the booming digital economy, the diffusion of new energy vehicles (NEVs) has become an important pathway for industrial green transformation. This study develops a dual-layer heterogeneous network evolutionary game model that integrates supply-side firms and demand-side consumers. Based on this model, we examine the effects of multiple government policies, digital marketing mechanisms, social network effects, underlying physical constraints, and network structure, as well as selected interactions among these mechanisms, on NEV diffusion. The findings reveal several critical insights. First, NEV diffusion exhibits a pronounced bimodal steady-state pattern and strong dependence on initial adoption conditions. It shows an S-shaped relationship with the initial consumer adoption base. Second, government policy transmission is asymmetric across the dual-layer network. Under standardized proportional policy changes, consumer purchase subsidies have a stronger effect on diffusion than technology transition subsidies and carbon prices. Third, digital marketing and social network effects are conditional on the prevailing market structure. When internal combustion engine vehicles initially hold an advantage, stronger marketing utility conversion, local bandwagon effects, and hub node influence can reinforce the incumbent position, whereas information overload weakens this exposure advantage. Fourth, charging anxiety and perceived technological risk constrain sustained NEV diffusion, while purchase subsidies can only partly compensate for severe charging constraints. Selected joint analyses and network robustness tests further show that diffusion outcomes depend on interactions among policy, behavioral, and physical mechanisms, while consumer-network connectivity and topology affect quantitative diffusion outcomes without overturning the main directional relationships. These findings highlight the importance of initial market conditions, cross-layer feedback, and network structure in shaping NEV diffusion and provide implications for policy design and firm strategy.]]></description>
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