Computational physics
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- Beyond Rough Volatility: Decoupling Memory and Scaling via a Generalized Langevin Equation
- Learning the Emergent Bulk Geometry of the Three Dimensional Ising Model
- LSR-Net: Learning the Forward Evolution Operator for Nonlinear Fluid Dynamics
- Persistent memory and tail-risk amplification in Atlantic Meridional Overturning Circulation variability: a Volterra integral framework calibrated with CMIP6
- Climate-model factor separation with Shapley values and efficient sampling
- Fundamental Dynamical Units for Physics-Informed Structural Inference from Perturbation Time-Series in Networked Systems
- Physics-informed neural networks by Gradient-Guided Gaussian Adaptive Sampling (3GAS-PINNs)
- A Reduced-Order Dynamical Model for the Ignition of Diver-Induced Cohesive Silt-Out on Sloping Beds
- Precise Positional Readout of Molecular Barcode Structures using Solid-State Nanopores
- Physics-informed Learning for Orbital Uncertainty Propagation with Error Bounds
- Learning a general class of admissible multi-species collision operators from molecular dynamics
- Multi-fidelity Monte Carlo estimation of floor response spectra under combined seismic and structural parameter uncertainties
- Parameter inference from a non-stationary unknown process using statistical feature-based slow feature analysis
- A Probability Model for Pentagonal Prism Dice Rolls
- Geometry-native machine learning reconstruction of DSMC moment fields with support monitoring
- First-principles optical response of shock-compressed LiF: Quasiparticle, excitonic, and ionic-temperature effects
- Accelerating dynamic simulations of photoexcited materials and their evolution by electron-informed machine learning
- Reference-Density Hartree Screening for Gausslet Hamiltonians
- Spatiotemporal Chaos with Extended Spatial Interactions
- A Non-Isothermal Viscoplastic Constitutive Model for Clay Slip Surfaces
- Fourier Neural Operators for Composition-Driven Crystal Structure Discovery
- iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy
- Spatio-temporal coherent molding and retrieval of pulsed signals in optical waveguides
- Assessment of Numerical Lift Coefficient Data for a Circular Cylinder with Application to Bladeless Turbines
- Diagnosing Latent Energy Decomposition in Machine-Learning Interatomic Potentials via Interacting Quantum Atoms