Computational physics
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- foap4: Adaptive mesh refinement with OpenACC/OpenMP, MPI, and p4est
- An Efficient Quantum Spectral-Galerkin Method for Linear Elliptic Equations
- Anchored HLLD: A Riemann solver for a hypoelastic diffuse-interface model of compressible fluid-solid interaction
- Early learning in large residual networks
- CodeJeNN: A simple C++ neural network generator for physics applications
- Visibility-Graph-Based Relative Strength Indicator for Financial Market Decision-Making
- Multigroup Radiation Diffusion with Compton Scattering on a Moving Mesh: Implementation in RICH and Application to Tidal Disruption Events
- Optimal Search Strategies under Finite Resource Constraints: The Role of Environmental Memory and Directional Information in Informed and Blind Protocols
- Influence of nanoparticle shapes in nanofluid film boiling on vertical cylinders: A numerical study
- Extended-regularized lattice Boltzmann method
- Learning Cole-Hopf Coordinates for Stochastic Growth Dynamics: the KPZ class
- Stiff source terms inside ADER-DG method
- Tractable Inference with Kolmogorov-Arnold Networks
- An Adaptive-Horizon Graph Neural Operator for coupled surrogate morphodynamic modelling
- Self-Adaptive Model-Order Reduction for Shock-Dominated Problems
- PDECheck: A Diagnostic Software Suite for Auditing Learned PDE Simulators
- A coupled finite element formulation for chemo-mechano-thermodynamical contact and its application to bonding and debonding
- QuDPy-FDGF: A Python-Based Tool for Computing Ultrafast Nonlinear Optical Responses Using Frequency Domain Green's Functions
- Sequential SBI for Resonance Searches at the LHC
- Bridge change-of-measure for propagator estimation of diffusions
- DiffVortex: A quantum-inspired fast solver for incompressible flows
- Zero-group-velocity modes in textured steel plates: experiments and elastic modeling
- Phase Transitions in Learning Driven by Extremal Data
- How Far Can Foundation Models Be Distilled for Efficient Jet Tagging?
- SoLiD26: A First Principles Solid-Liquid Interface Dataset for Machine-learned Interatomic Potentials