Metadynamics of paths
Davide Mandelli, Barak Hirshberg, Michele Parrinello
Computational Physics papers — page 174
physics.comp-phBrowse archive
TurboPy: A Lightweight Python Framework for Computational Physics
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Maoqiang Jiang, Jing Li, Zhaohui LiuSplit representation of adaptively compressed polarizability operator
Dong An, Lin Lin, Ze XuA quasi-static particle-in-cell algorithm based on an azimuthal Fourier decomposition for highly efficient simulations of plasma-based acceleration: QPAD
Fei Li, Weiming An, Viktor K. Decyk et al.Bayesian inference in band excitation Scanning Probe Microscopy for optimal dynamic model selection in imaging
Rama K. Vasudevan, Kyle P. Kelley, Eugene Eliseev et al.Large scale and linear scaling DFT with the CONQUEST code
Ayako Nakata, Jack Baker, Shereif Mujahed et al.Proton Transport Entropy Increase In Amorphous SiO2
Randall T. SwimmModified Poisson-Nernst-Planck model with Coulomb and hard-sphere correlations
Manman Ma, Zhenli Xu, Liwei ZhangTurboRVB: a many-body toolkit for ab initio electronic simulations by quantum Monte Carlo
Kousuke Nakano, Claudio Attaccalite, Matteo Barborini et al.Convective Viscous Cahn-Hilliard/Allen-Cahn Equation: Exact Solutions
P. O. Mchedlov-Petrosyan, L. N. DavydovSurface Susceptibility Synthesis of Metasurface Holograms for creating Electromagnetic Illusions
Tom. J. Smy, Scott A. Stewart, Shulabh GuptaAn Entropy-Maximization Approach to Automated Training Set Generation for Interatomic Potentials
Mariia Karabin, Danny PerezGrid-based minimization at scale: Feldman-Cousins corrections for SBN
Holger Schulz, Marianette Wospakrik, Mark Ross-Lonergan et al.Optical lattice experiments at unobserved conditions and scales through generative adversarial deep learning
Corneel Casert, Kyle Mills, Tom Vieijra et al.Topology optimization of surface flows
Yongbo Deng, Weihong Zhang, Jihong Zhu et al.Studying the parton content of the proton with deep learning models
Juan M Cruz-Martinez, Stefano Carrazza, Roy StegemanWave scattering in frequency domain
Tatsuya UsukiMachine Learning Exchange-Correlation Potential in Time Dependent Density Functional Theory
Yasumitsu Suzuki, Ryo Nagai, Jun HaruyamaCombining high-performance hardware, cloud computing, and deep learning frameworks to accelerate physical simulations: probing the Hopfield network
Vaibhav VavilalaElasTool: An automated toolkit for elastic constants calculation
Zhong-Li LiuOptimization of Software on High Performance Computing Platforms for the LUX-ZEPLIN Dark Matter Experiment
Venkitesh Ayyar, Wahid Bhimji, Maria Elena Monzani et al.Space-Time Collocation Method: Loop Quantum Hamiltonian Constraints
Alec Yonika, Alfa Heryudono, Gaurav KhannaEvolutions in photoelectric cross section calculations and their validation
Tullio Basaglia, Maria Grazia Pia, Paolo SaraccoImpact of collision models on the physical properties and the stability of lattice Boltzmann methods
C. Coreixas, G. Wissocq, B. Chopard et al.