AMELI: Angular Matrix Elements of Lanthanide Ions
Reinhard Caspary
Computational Physics papers — page 9
physics.comp-phBrowse archive
Optimal Uncertainty Quantification under General Moment Constraints on Input Subdomains
Rong Jin, Xingsheng SunA GPGPU-Oriented Full Phase-Space Parallel Unified Gas-Kinetic Scheme with Velocity-Block Pipelining
Zhiwen Zhuang, Yixiao Wang, Xinhang Guo et al.Accelerating Kinetic Fokker-Planck Simulations via a GPU-Native Deep Neural Network Surrogate: Application to Rarefied Internal and Hypersonic External Flows
Ehsan RoohiLiquid Random Feature Methods for Time-Dependent Partial Differential Equations
Jiale Linghu, Yangshuai WangPhysics-Informed Neural Networks as Fast Surrogate Models for Electrochemical Flow Reactors
Eric Fernández-García, Miguel Modestino, Sergio MaldonadoDistilling latent electrostatics from foundation machine learning interatomic potentials
Xiaoyu Wang, Bingqing ChengSpin disorder competing with positional symmetry breaking governs the metal-insulator behavior in oxide paramagnets
Jia-Xin Xiong, Xiuwen Zhang, Alex ZungerMeasuring qualitative change: A variational score for tracking dynamical shifts in partial differential equations
Joseph J. Pollacco, Jonathan Wong, Navonil Neogi et al.Large Language Model Based Agent for Automated Discovery in Computational Physics
Hang Lin, Chongwen Liu, Gang YanFast contracted Clebsch--Gordan tensor products for equivariant graph neural networks
Anton Bochkarev, Yury Lysogorskiy, Ralf DrautzREMAL: Residual Equilibrium Manifold Active Learning for Surrogate-Based Multidisciplinary Design Analysis
Kail Yuan, Ashwin RenganathanPhysically Constrained Ensemble Gaussian Process Modelling for Expensive Quantum Systems with Heteroskedastic Noise
Arpan Biswas, Sutirtha Paul, Joseph Agada et al.Towards stable and accurate electron dynamics via neural network based time-dependent variational Monte Carlo
Weizhong Fu, Zhe Li, Yubing Qian et al.BattMo -- Battery Modelling Toolbox
Xavier Raynaud, Halvor Møll Nilsen, August Johansson et al.Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks
Hemanth Chandravamsi, Hangchuan Hu, Ponkrshnan Thiagarajan et al.fitPALSpectra: Python fitting of positron annihilation lifetime spectra
Georgios E. PavlouA survey of interlayer interaction models for graphene and other 2D materials
Gourav Yadav, Shakti S. Gupta, Roger A. SauerBounding the Null Space: Interval-Based Uncertainty Quantification for Non-Identifiable Groundwater Models
Maximilian Ramgraber, Ksenia BestuzhevaFlow-based generative models for amortized Bayesian inference in regression and inverse PDE problems
Shaoqian Zhou, Ling Guo, Xuhui MengA Physics-Informed B-Spline Framework for Continuous Approximation of Flow Data
Junoh Jung, David Lenz, Emil Constantinescu et al.Solving forward and inverse wave scattering via boundary integral equations and deep learning. Applications to cloaking design
Camille Carvalho, Elsie Cortes, Symeon Papadimitropoulos et al.Long-range machine-learning potentials with environment-dependent charges enable predicting LO-TO splitting and dielectric constants
Dmitry Korogod, Alexander V. Shapeev, Ivan S. NovikovNeural Network Perturbation Theory (NNPT): Learning Residual Corrections from Exact Solutions
Zhenhao Chen, Mutian Shen, Boris Fain et al.Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow
Daniel Cieslak, Andrzej Czyzewski