Computational physics
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- Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles
- Walk on Multiscale Media: Compiling Editable and Composable Transport Medium Prefabs for Monte Carlo PDE Solvers
- Resource competition and survival for random walkers on complex networks
- A Differentiable Framework for Inverse Identification of Heterogeneous Cohesive Laws
- Distributional statistics of nonequilibrium
- Femtosecond Three-Dimensional Imaging of Single-Protein with Hard X-ray Laser
- FUSION: a skill-based research agent for publicly obtainable nuclear-physics codes
- An Energy-Based Conservative-Dissipative Latent Neural Evolution Operator for Magnetization Dynamics
- Optimal Search Strategies under Finite Resource Constraints
- Localized Hybrid Analytical-Finite-Element Thermal Modeling for Laser Powder Bed Fusion
- Autonomous atomistic-continuum coupling through uncertainty-aware active learning
- Turning angle analysis reveals hidden anisotropies in intracellular transport
- QuantumBilliards.jl: An extensible, user friendly, high-performance Julia library for the large scale computation of spectra and eigenstates of quantum billiards and related problems
- Shared Is Not Enough: Predictor Width and Factor Readability Under Masked Latent Prediction
- Compression of turbulent flow data through an extended space-time correlation: certification against the modal energy budget
- CoPiT: A conditional Position-induced Transformer for aerodynamic field prediction on unstructured meshes
- Coherent axion electrodynamics in OSIRIS: a counter-propagating axion-photon parametric instability
- Track finding and particle identification performance with particle physics foundation models
- Residual-Based Adaptive Refinement in Hybrid Variational-Collocation PINNs for Singular Elliptic PDEs with Mixed Dirichlet-Neumann Boundary Conditions
- Solubility of poorly soluble species in bulk and nanopores from grand-canonical Wang-Landau sampling
- Temperature-Dependent Multiphysics Modeling of Additive Friction Stir Deposition Using Multi-Task Coupled Physics-Informed Neural Networks
- Adding slow magnetoacoustic mode to the HLL-type multi-state approximate Riemann solution
- Derivation of the Sample-Size Scaling of TWO-NN Intrinsic-Dimension Estimates from Molecular Dynamics Trajectories
- Decoupling candidate dual AGN from chance superpositions in the GOTHIC survey via a deep-learning framework
- Stabilizing the parquet problem