Computational physics
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- Recovering Irreducible Three-Body Interactions with Lagrangian Neural Networks
- Ultrafast laser-stimulated field emission from a metal: a non-equilibrium Green's functions approach
- Is the Number of Foreshocks Underestimated? The Role of Declustering Symmetry
- Low-Rank Kolmogorov-Arnold Generator Flows for Interpretable Operator Learning
- Alter-excitons in Altermagnets: Symmetry, Splitting and Dispersion
- All-electron RT-TDDFT with Exact Exchange based on Numeric Atom-centered Orbitals for Condensed Matter
- Riemannian Hessian analysis of Sobolev gradient flows for the Gross--Pitaevskii ground state problem
- Instabilities in self-consistent diagrammatic approaches and how to cure them
- Efficient Quantum Simulation of Linearized Vlasov--Poisson Dynamics Using Trotter and THRIFT Hamiltonian Simulation Methods
- Efficient simulation of second-order phase transitions in quantum anharmonic materials
- Solution to Double Counting of Zero-Point Energy: Partitioned Quantum Thermal Baths for Mixed Quantum–Classical Dynamics
- Effects of microstructural heterogeneity on the macroscopic spectrum of elastically accommodated grain-boundary sliding
- Energy, Information, and the Limits of Neuropsychiatric Classification
- Polyconvex neural-network surrogates with learned paired directional features for anisotropic hyperelastic homogenization
- Homogeneous to multi-scale inhomogeneous complex magnetism in Ba3LnRu2O9 (Ln = Gd, Ho), Revealed by muSR and Machine-Learned Muon-Site Calculations
- Evaluating LLMs for Translating Legacy Fortran Atmospheric Physics to GPU-Accelerated JAX
- Fourier Transform-Based Computation of Two-Electron Four-Center Coulomb Repulsion Integrals
- Parallel Design of a GPU-Resident Semi-Lagrangian Drift-Kinetic Solver on Unstructured Extruded Tokamak Meshes
- Enhanced Coulomb pseudopotentials in high-pressure hydrides from first principles
- Full-event anomaly detection for new physics searches at the Electron-Ion Collider
- Bayesian Sampling of Structural Ensembles: The Role of Ensemble-Counting Measures
- Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems
- A neural characteristic mapping method: Lagrangian PINNs based on flow maps for transport-dominated problems
- Prior or Feedback? What an LLM Uses When Adapting Neural Operators
- Ghost tasking for parametrized Gaussian Processes solving linear differential equations