Computational physics
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- Mercury (Hg): a relativistic N-body simulation for Horndeski gravity
- Identifying the Shear Piezoelectric Coefficient using Physics-Informed Neural Networks under Exact Boundary and Initial Constraints
- Fracture-Bench: A Controlled Benchmark Suite for Machine Learning Surrogates in Phase-Field Fracture Mechanics
- Anomaly-ranked confirmation slows new-class learning
- Computational Fluid Dynamics and Discrete Dipole Approximation Applied to Predict Airborne Viruses Disinfection by Ultraviolet Irradiation
- Noise-resilient collective order through temporal memory in self-propelled particles
- Quantifying Bicycle Setup Differences on the Road: Field Estimates of CdA, Crr and Power Demand
- Computational performance versus numerical accuracy in the acoustic terms of weakly-compressible SPH
- Site-orbit masked twin-branch Transformer for symmetry-constrained crystal generation
- Maximal correlation and optimal transformations of probability distributions in tensor-train format: a variational algorithm
- Learning the Entropic Relaxation: Stable Coarse-Grid Emulation with Neural Discrete Equilibrium
- Machine-Learned Interatomic Potential for the Mo-S-Al-O System
- Quantum simulation of dissipative acoustic and elastic waves by Schrödingerisation: absorbing boundaries and explicit polynomial-size circuits
- Virtual-Array Operational Modal Analysis of Rolling Tires Using a Single Tire Cavity Accelerometer
- The Neural Density Model: An Open 3D Thermospheric Density Reanalysis for 2003--2026 From Tracked Space Debris
- Pore-scale mechanisms of capillary imbibition in cement-based materials revealed by direct numerical simulations in a realistic FIB-SEM microstructure
- Atomistic Insights into MOCVD Growth of GaAs using a Closed Loop Autonomous System Combining Directed Reinforcement Learning and Kinetic Monte Carlo Simulations
- Choosing a generator for streaming Gaussian noise in gravitational-wave mock data: accuracy, cost and reproducibility
- Variational learning of energy-stable macroscopic flow equations from microscopic laws
- Quantum HHL Algorithm for Solving 1D Linear Advection Equation Using Explicit and Implicit Finite Difference Schemes
- Optimally Weighted Constrained Shadow Tomography for Reduced Density Matrices
- Efficient Interpolation of the Bethe-Salpeter Hamiltonian at Arbitrary Momenta
- Structure-Preserving Full Approximation Scheme for Real-Space Hartree-Fock Equations
- ROSE: Deep Learning exchange-correlation functional from reduced density-matrix representations
- Beyond Synthesis Conditions: Linking In-situ Growth Dynamics to Carbon Nanotube Forest Properties through Multimodal Machine Learning