Results 11 to 20 of about 4,565,107 (327)
Educational Administration: Theory and Practice, 2022 This study aimed to analyze the factor model affecting the implementation of the Generative Learning Model with a Cognitive Conflict Strategy in the Computational Physics Course during the COVID-19 pandemic era.
A. Akmam +4 more
semanticscholar +1 more source
Journal of Physics: Conference Series, 2022 The discovery learning model with the strategy of exploring questions no longer increases students’ understanding of Computational Physics, for this reason, a cognitive conflict-based generative learning model is developed.
A. Akmam +4 more
semanticscholar +1 more source
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge [PDF]
Scientific Reports, 2022 Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational framework called Scientist-Machine Equation Detector (SciMED), which ...
Liron Simon Keren +2 more
semanticscholar +1 more source
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics [PDF]
International Journal of Computational Methods, 2022 Physics-informed neural network (PINN) has recently gained increasing interest in computational mechanics. In this work, we present a detailed introduction to programming PINN-based computational solid mechanics.
Jinshuai Bai +8 more
semanticscholar +1 more source
Jurnal Neutrino: Jurnal Fisika dan Aplikasinya, 2021 Neutrino can carry information from places that cannot be reached by the usual detection mechanism because it has a very weak interaction with matter. This can be utilized to study the heat flow process inside the earth by using information carried by ...
Akmal Ferdiyan +1 more
doaj +1 more source
CRYSTAL23: A Program for Computational Solid State Physics and Chemistry
Journal of Chemical Theory and Computation, 2022 The Crystal program for quantum-mechanical simulations of materials has been bridging the realm of molecular quantum chemistry to the realm of solid state physics for many years, since its first public version released back in 1988.
A. Erba +14 more
semanticscholar +1 more source
Transverse confinement of electron beams in a 2D optical lattice for compact coherent x-ray sources
New Journal of Physics, 2021 Compact coherent x-ray sources have been the focus of extensive research efforts over the past decades. As a result, several novel schemes like optical and nano-undulators for generating x-ray emissions in ‘table-top’ setups are proposed, developed, and ...
Arya Fallahi +2 more
doaj +1 more source
Equivariant neural networks for spin dynamics simulations of itinerant magnets
Machine Learning: Science and Technology, 2023 I present a novel equivariant neural network architecture for the large-scale spin dynamics simulation of the Kondo lattice model. This neural network mainly consists of tensor-product-based convolution layers and ensures two equivariances: translations ...
Yu Miyazaki
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
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