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Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook
Algorithms, 2023 For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks ...
Xuan Di +3 more
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Matter and Radiation at Extremes, 2021 We report significant differences in high-pressure properties of vanadium at zero temperature and finite temperature when different projector augmented wave (PAW) potentials are used in simulations based on density functional theory. When a PAW potential
Tingting Zhang +8 more
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Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach
Frontiers in Physics, 2023 We present global predictions of the ground state mass of atomic nuclei based on a novel Machine Learning algorithm. We combine precision nuclear experimental measurements together with theoretical predictions of unmeasured nuclei.
Matthew Mumpower +6 more
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Machine learning–accelerated computational fluid dynamics [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance Accurate simulation of fluids is important for many science and engineering problems but is very computationally demanding. In contrast, machine-learning models can approximate physics very quickly but at the cost of accuracy.
Dmitrii Kochkov +5 more
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Physics-based computational and theoretical approaches to intrinsically disordered proteins.
Current Opinion in Structural Biology, 2021 Intrinsically disordered proteins (IDPs) are an important class of proteins that do not fold to a well-defined three-dimensional shape but rather adopt an ensemble of inter-converting conformations.
J. Shea, R. Best, J. Mittal
semanticscholar +1 more source
Finite Element Analysis of Microwave Tumor Ablation Based on Open-Source Software Components
Mathematics, 2023 Microwave ablation is a procedure for treating various types of cancers during which a small needle-like probe is inserted inside the tumor, which delivers microwave energy, causes tissue heating, and effectively produces necrosis of the tumor tissue ...
Nikola Bošković +2 more
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New Journal of Physics, 2021 We present calculations of the photoionization (PI) cross sections of rubidium and cesium Rydberg atoms for light with wavelengths ranging from the infrared to the ultraviolet, using model potentials from Marinescu et al (1994 Phys. Rev. A 49 982).
Michael A Viray +2 more
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Journal of Advances in Modeling Earth Systems, 2021 Previous studies have shown that atmospheric models with a spectral element grid can benefit from putting physics calculations on a relatively coarse finite volume grid.
W. Hannah +5 more
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Improvement of precision of numerical calculations using “multiple precision computation” package
Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên, 2019 In this work, the program so-called “Multiple Precision Computation” (MPC) proposed by Smith in 2003 is introduced and embedded into conventional codes for considerably improving the precision of numerical calculations.
Hanh H. Nguyen +5 more
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The Influence of Clamping, Structure Geometry, and Material on Seismic Metamaterial Performance
Frontiers in Materials, 2021 Diverting and controlling the impact of elastic vibrations upon an infrastructure is a major challenge for seismic hazard mitigation and for the reduction of machine noise and vehicle vibration in the urban environment.
T. Venkatesh Varma +7 more
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