With the end of the Moore era approaching, there is a need for new device technologies that push the limits of computing performance at the nanoscale while aiming for even better energy efficiency. Applications involving AI methods, quantum information, and interfacing effectively with biological systems demand for computing requirements beyond what Moore’s law was able to offer historically. We need to consider new approaches and devices that are based on novel materials design, new physical phenomena, and also explore novel ways of computing. These methods may either be complementary to CMOS (Complementary Metal-Oxide-Semiconductors) or could offer new paradigms for information processing and computing. Examples include electronics based on resistive memory and phase change materials, neuromorphic devices, high mobility semiconductors and 2D materials, spintronics for Boltzmann computing and quantum materials and devices for quantum information. The advancement of these areas in the post-CMOS era requires a holistic approach with theory, modeling, nanofabrication, characterization, and integration, all advancing significantly.
The goal of this Research Topic is to provide an avenue for researchers across science and engineering to present their cutting-edge research on post CMOS technologies. These technologies are based on multiple disciplines including theory-modeling, fabrication, characterization, packaging and integration, which span nanoscale control of materials, devices and systems. The Topic will serve as a source to foster cross-pollination of ideas in this emerging Research Topic, which will lead to solutions as well as the development of a fundamental understanding. Apart from research articles in neuromorphic computing, Boltzmann computing and Quantum computing, we also welcome research articles on emerging memory devices including those mimicking neuronal capabilities, quantum devices, analog memory devices and the next generation of transistors such as 2D and flexible transistors. Also of interest are device technologies suited for co-integration of high-density memory and logic. Articles that focus on fundamental concepts, applications, theory and modeling methods, device fabrication, characterization and packaging are of relevance to this Research Topic.
We welcome Original Research articles, topical Reviews that address recent advancements, and Perspectives articles. The papers may focus on theory and modeling, nanofabrication, device characterization, packaging and integration approaches for beyond CMOS technologies. Topics include (but are not limited to):
- Transistors based on novel materials and novel designs (2D materials, flexible devices, etc.)
- Novel two and three-terminal analog or digital memory devices (memristors, phase-change devices, resistive memory devices, etc.)
- Devices for neuromorphic computing
- Devices for quantum computing (qubit implementation)
- Spintronics
- Devices for Boltzmann computing
- Theory and Modeling methods for beyond CMOS devices (Ab initio, Molecular - Dynamics, Kinetic Monte Carlo and so on)
- Modeling methods for quantum computing
- Cryoelectronics
- Optoelectronic devices for memory and computing.
With the end of the Moore era approaching, there is a need for new device technologies that push the limits of computing performance at the nanoscale while aiming for even better energy efficiency. Applications involving AI methods, quantum information, and interfacing effectively with biological systems demand for computing requirements beyond what Moore’s law was able to offer historically. We need to consider new approaches and devices that are based on novel materials design, new physical phenomena, and also explore novel ways of computing. These methods may either be complementary to CMOS (Complementary Metal-Oxide-Semiconductors) or could offer new paradigms for information processing and computing. Examples include electronics based on resistive memory and phase change materials, neuromorphic devices, high mobility semiconductors and 2D materials, spintronics for Boltzmann computing and quantum materials and devices for quantum information. The advancement of these areas in the post-CMOS era requires a holistic approach with theory, modeling, nanofabrication, characterization, and integration, all advancing significantly.
The goal of this Research Topic is to provide an avenue for researchers across science and engineering to present their cutting-edge research on post CMOS technologies. These technologies are based on multiple disciplines including theory-modeling, fabrication, characterization, packaging and integration, which span nanoscale control of materials, devices and systems. The Topic will serve as a source to foster cross-pollination of ideas in this emerging Research Topic, which will lead to solutions as well as the development of a fundamental understanding. Apart from research articles in neuromorphic computing, Boltzmann computing and Quantum computing, we also welcome research articles on emerging memory devices including those mimicking neuronal capabilities, quantum devices, analog memory devices and the next generation of transistors such as 2D and flexible transistors. Also of interest are device technologies suited for co-integration of high-density memory and logic. Articles that focus on fundamental concepts, applications, theory and modeling methods, device fabrication, characterization and packaging are of relevance to this Research Topic.
We welcome Original Research articles, topical Reviews that address recent advancements, and Perspectives articles. The papers may focus on theory and modeling, nanofabrication, device characterization, packaging and integration approaches for beyond CMOS technologies. Topics include (but are not limited to):
- Transistors based on novel materials and novel designs (2D materials, flexible devices, etc.)
- Novel two and three-terminal analog or digital memory devices (memristors, phase-change devices, resistive memory devices, etc.)
- Devices for neuromorphic computing
- Devices for quantum computing (qubit implementation)
- Spintronics
- Devices for Boltzmann computing
- Theory and Modeling methods for beyond CMOS devices (Ab initio, Molecular - Dynamics, Kinetic Monte Carlo and so on)
- Modeling methods for quantum computing
- Cryoelectronics
- Optoelectronic devices for memory and computing.
