A differentiable machine learning small-angle X-ray scattering analysis framework for structure elucidation of lipid nanoparticles
Maria Bånkestad, Sandra Barman, Magnus Röding et al.
Computational Physics papers — page 12
physics.comp-phBrowse archive
Finite Element-Based Material Learning via Automatic Differentiation: Learning constitutive neural network models from full-field deformation data
Matthias Knipper, Chenyi Ji, Malte Brand et al.Floquet-Engineered Odd-Parity Altermagnetic Higher-Order Topology in a Two-Dimensional Antiferromagnet Cr2CH2
Xiaorong Zou, Hyeon Suk Shin, Baibiao Huang et al.Spatio-Temporal Uncertainty-Modulated Physics-Informed Neural Networks for Solving Hyperbolic Conservation Laws with Strong Shocks
Darui Zhao, Ze Tao, Fujun LiuFull-Scattering-Matrix Deterministic Phonon Boltzmann Transport Simulation
Y. Sungtaek JuA path-finding algorithm for computing minimal-weight-matching centrosymmetry parameter
Vasily V. PisarevBreakdown of Gradient-Flow Dynamics in Oscillator Ising Machines from Harmonic Misalignment
Abir Hasan, E. M. Hasantha Ekanayake, Kyle Lee et al.ALPHANSO: Open-Source Modeling of (α,n) Neutron Source Terms
Divit Rawal, Anthony J. Nelson, William Zywiec et al.Lumina: An AI-Augmented Multiscale Material Informatics Framework for Extreme Aero-Chemo-Thermo-Mechanical Regimes
Pradeep Kumar Seshadri, Vigneshwaran N, Sudaroli Dhananjeyan et al.Adaptive Multi-Fidelity Structural Optimization under Fluid-Structure Interaction
Aditya Narkhede, Erick Rivas, Kevin WangDiversity-Aware Batch-Mode Active Learning for Efficient Sampling in Data-Driven Constitutive Modeling
Ronak Shoghi, Lukas Morand, Dirk Helm et al.Simulation of S-parameters of general multilayer boxed PCBs with the method of moments and the scattering matrix algorithm
A. O. Makarenko, P. Zheglova, R. Gaponenko et al.SPARC-atomSFE: Spectral finite-element package for atomic structure calculations in density functional theory
Qihao Cheng, Shubhang Krishnakant Trivedi, Phanish SuryanarayanaPhysics Informed Neural Network-based Computational Method for Accelerating Time-Periodic Unsteady CFD Simulations
Lakshya Chaplot, Harshita Agarwal, Atul SharmaPhysics-guided curriculum learning for the identification of reaction-diffusion dynamics from partial observations
Hanyu Zhou, Yuansheng Cao, Yaomin ZhaoA Conservative Discontinuous Galerkin Algorithm for Particle Kinetics on Smooth Manifolds
Grant Johnson, Ammar Hakim, James JunoOrthogonal Attosecond Control of Solid-State Harmonics by Optical Waveforms and Quantum Geometry Engineering
Zhenjiang Zhao, Zhihua Zheng, Zhiyi Xu et al.Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
Giorgio M. Cavallazzi, Miguel Pérez Cuadrado, Alfredo PinelliIntroduction to the artificial neural network-based variational Monte Carlo method
William FreitasBasis-free neural-network geminal and Jastrow factors for variational Monte Carlo
Jan Kessler, Thomas D. KühneSpatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs
Shan Ding, Yongfu Tian, Lang Qin et al.NATPS: Nonadiabatic Transition Path Sampling Using Time-Reversible MASH Dynamics
Xiran Yang, Madlen Maria Reiner, Brigitta Bachmair et al.Self-supervised neural operator for solving partial differential equations
Wen You, Shaoqian Zhou, Xuhui MengEfficient simulation of chemical reaction in DSMC
Hong Deng, Liyan Luo, Lei WuA practical investigation on time integration in the quantized tensor train format
Erika Ye