Results 21 to 30 of about 4,141,656 (337)
XXVI IUPAP Conference on Computational Physics (CCP2014) [PDF]
, 2015 The 26th IUPAP Conference on Computational Physics, CCP2014, was held in Boston, Massachusetts, during August 11-14, 2014. Almost 400 participants from 38 countries convened at the George Sherman Union at Boston University for four days of plenary and ...
Campbell, D.K. +3 more
core +1 more source
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
doaj +1 more source
Physics informed deep learning for computational elastodynamics without labeled data [PDF]
Journal of engineering mechanics, 2020 Numerical methods such as finite element have been flourishing in the past decades for modeling solid mechanics problems via solving governing partial differential equations (PDEs).
Chengping Rao, Hao Sun, Yang Liu
semanticscholar +1 more source
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
doaj +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
doaj +1 more source
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
doaj +1 more source
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
semanticscholar +1 more source
A diagrammatic view of differential equations in physics
Mathematics in Engineering, 2023 Presenting systems of differential equations in the form of diagrams has become common in certain parts of physics, especially electromagnetism and computational physics.
Evan Patterson +3 more
doaj +1 more source
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
doaj +1 more source
Computational Processes and Incompleteness [PDF]
, 2009 We introduce a formal definition of Wolfram's notion of computational process based on cellular automata, a physics-like model of computation. There is a natural classification of these processes into decidable, intermediate and complete.
Anthony K. Seda +4 more
core +2 more sources