Automatic generation of exchange-correlation response kernels
Susi Lehtola
Computational Physics papers
physics.comp-phBrowse archive
A unified gas-kinetic wave-particle method for multiscale gas-mixture flow with an elementary chemical reaction
Cao Junzhe, Wei Yufeng, Long Wenpei et al.Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials
Youri Blom, Sofia Dutto, Alexandru Costache et al.Rapidly Convergent Finite-Element Domain Decomposition Method With Two-Channel Transmission Conditions
Furkan Şık, Fernando L. Teixeira, Balasubramaniam ShankerA sharp-diffuse interface model for intermittent and isolated topological transitions
Raaghav RamaniMacroparticles with different weights relax to different temperatures in Particle-In-Cell simulations
Remi Lehe, Arianna Formenti, Justin R. Angus et al.First-Principles Electron-Magnon Coupling with Machine-Learning Hamiltonians: From Band Renormalization to Transport
Shixu Liu, Xingding Li, Haozhe Li et al.Volume-Surface-Wire Integral Equations for EEG Source Imaging
Paolo Ricci, Maxime Monin, Alessandro Mascherin et al.A well-balanced weakly compressible SPH formulation for free-surface flows and its GPU implementation
Jiawang Zhang, Fengxiang Zhao, Jianping Gan et al.Inverted model selection in physics-informed neural networks: when a lower residual selects a worse solution
Rabiu MusahResolving positive semi-definiteness in physics-informed kernels for scientific machine learning
J. Moser, C. Albert, S. RanftlResonant state expansion for acoustic resonators. Part II. Scattering problem
Egor Domoratskii, Vladimir Igoshin, Nikolay Solodovchenko et al.Resonant state expansion for acoustic resonators. Part I. Eigenvalue problem
Egor Domoratskii, Vladimir Igoshin, Nikolay Solodovchenko et al.Diagonalization of the Landau Hamiltonian with a Periodic Potential via a Galerkin Projection Method and Applications to Topological Band Properties
Rafael Antonio Lainez Reyes, Benjamin Stamm, Hans Peter BüchlerInvestigation of the Asymptotic Properties of Active Impedance in Large Finite Array Antennas
Harald Hultin, Lucas Åkerstedt, B. L. G. JonssonProbabilistic Inverse Modeling of Contaminant Transport via a Conditioned-on-Design Bayesian Physics Informed Neural Network
Milad Panahi, Giovanni Michele Porta, Monica Riva et al.Agentic Porting, Construction and Initial Verification and Validation of Libraries within the Open Source Unified TRAnsient Multi-Phase Advanced Reactor simulation Kit (Outram Park) Part I: Thermal Hydraulics
Theodore Kay Chen Ong, Ethan Yew Hoe Wong, Sicong XiaoValidating direct solvers for Newton's gravitational N-body problem, and the systematic comparison between IEEE floating point and Posits
Simon Portegies ZwartDifferential-Embedding Reconstruction of Dynamical Systems from Scalar Time Series
Ameir Shaa, Claude GuetUnlocking Multi-Component Bulk-Materials Molecular Dynamics with a Small-Footprint Machine Learning Interatomic Potential
Yucheng Ouyang, Xin Chen, Ying Liu et al.Scalable dynamical inference of phase-field fracture from sparse and partial measurements
Hanfeng Zhai, Zisheng ZhangConforming and nonconforming Trefftz approximations for two-dimensional scalar electromagnetic problems
Igor TsukermanPlasolver: Physics-Informed Neural Operators for Elastoplasticity
Yizheng Wang, Mohammad Sadegh Eshaghi, Huadong Zhang et al.Updated all-electron Dirac--Fock densities and an element-adaptive parameterisation of scattering factors and potentials for neutral atoms
Ivan Lobato, Zezhong Zhang, Sandra Van Aert et al.Learning Spin Hamiltonians from Terahertz Two-Dimensional Coherent Spectroscopy
Martin Mootz, Chuankun Huang, Liang Luo et al.