Physical Consistency | List of Frontiers open access articles

Original Research

Published on 19 Mar 2026

Fault diagnosis method for high-voltage circuit breakers based on physics-informed transfer learning

in Mechatronics

Dong Wang
Lubo Zhou
Liyun Xie
Xipu Liu
Shiqi Dong
Junhua Liu

Frontiers in Mechanical Engineering

doi 10.3389/fmech.2026.1770664

355 views

Original Research

Published on 27 Nov 2025

Coordinated control strategy of grid-forming converter based on passive control and deep reinforcement learning

in Smart Grids

Zhen Huang
Kaiyuan Hou
Deming Xia
Kefei Wang
Chengzhe Liu
Xuerui Yang

Frontiers in Energy Research

doi 10.3389/fenrg.2025.1710643

1,620 views

Original Research

Accepted on 28 Apr 2026

PG-DyMamba: A Physics-Guided Dynamic Graph Mamba Network for Significant Wave Height Prediction

in Ocean Observation

Fan Jiang
Yinzhu Zang
Ruidi Ma
Bo Yu
Hui Li
Song Gao
Yong Ge
Dianjun Ren

Frontiers in Marine Science

169 views

Original Research

Published on 25 Mar 2026

Physics-enhanced deep learning for sea surface temperature forecasting via multi-scale feature integration

in Physical Oceanography

Hu Li
Qingao Liu
Tianping Wang
Haoyu Wang
Shuo Yang

Frontiers in Marine Science

doi 10.3389/fmars.2026.1775896

560 views

Perspective

Published on 25 Mar 2022

Simplifying the Process of Going From Cells to Tissues Using Statistical Mechanics

in Computational Physiology and Medicine

Jagir R. Hussan
Mark L. Trew
Peter J. Hunter

Frontiers in Physiology

doi 10.3389/fphys.2022.837027

3,239 views
2 citations

Original Research

Published on 05 Feb 2021

Advances in the Estimation of Global Surface Net Heat Flux Based on Satellite Observation: J-OFURO3 V1.1

in Physical Oceanography

Hiroyuki Tomita
Kunio Kutsuwada
Masahisa Kubota
Tsutomu Hihara

Frontiers in Marine Science

doi 10.3389/fmars.2021.612361

10,798 views
28 citations

Original Research

Published on 15 Aug 2025

Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels

in Heat Engines

Tadbhagya Kumar
Anuj Kumar
Pinaki Pal

Frontiers in Thermal Engineering

doi 10.3389/fther.2025.1594443

2,854 views
2 citations

Original Research

Published on 08 Feb 2024

Enhancing data-driven soil moisture modeling with physically-guided LSTM networks

in Forest Soils

Qingtian Geng
Sen Yan
Qingliang Li
Cheng Zhang

Frontiers in Forests and Global Change

doi 10.3389/ffgc.2024.1353011

4,206 views
13 citations

Articles

Fault diagnosis method for high-voltage circuit breakers based on physics-informed transfer learning

Coordinated control strategy of grid-forming converter based on passive control and deep reinforcement learning

PG-DyMamba: A Physics-Guided Dynamic Graph Mamba Network for Significant Wave Height Prediction

Physics-enhanced deep learning for sea surface temperature forecasting via multi-scale feature integration

Simplifying the Process of Going From Cells to Tissues Using Statistical Mechanics

Advances in the Estimation of Global Surface Net Heat Flux Based on Satellite Observation: J-OFURO3 V1.1

Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels

Enhancing data-driven soil moisture modeling with physically-guided LSTM networks