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Every paper Pith has read. Search by title, abstract, or pith.
880 papers in physics.comp-ph · page 2
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Harmonic misalignment breaks gradient flow in oscillator Ising machines
Breakdown of Gradient-Flow Dynamics in Oscillator Ising Machines from Harmonic Misalignment
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Waveform misalignment breaks gradient flow in oscillator Ising machines
Breakdown of Gradient-Flow Dynamics in Oscillator Ising Machines from Harmonic Misalignment
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ADER-DG code recovers Euler waves with order gains in tests
High-Order ADER-DG Hydrodynamics with ExaHyPE: Implementation, Validation, and Astrophysical Benchmarking
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Neural Jastrow factors deliver sub-millihartree accuracy in AGP-VMC
Basis-free neural-network geminal and Jastrow factors for variational Monte Carlo
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Spin kernel computation shows warm-dense LSDA mismatch
Finite-Temperature Spin Exchange-Correlation Kernel of the Uniform Electron Gas
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Local split reverses C3O2 linear bias
Reducing the Complexity of Density-Matrix Functionals in a Real-Space-Decomposed DF+RDMF Scheme with the Adaptive Cluster Approximation
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3D model reveals nonlinear sources of field inhomogeneity in single-turn coils
Non-linear diffusion and inhomogeneity of the magnetic field in single-turn coils: Insights from 3D multiphysics modeling
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Ultrasound field fitting recovers texture coefficients
Ultrasonic determination of crystallographic texture by transmitted field fitting regardless of medium dispersivity
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Shallow depths reduce cosmogenic activation in detector materials
Cosmogenic activation in detector materials at shallow depths
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Non-quasi-neutral fronts drive fast ions in laser hydrogen targets
Kinetic Simulations of Laser-Driven Compression and Heating of Magnetised Cryogenic Hydrogen Targets using PIConGPU
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AI tree search finds better 3D solar panel shapes
Optimized Three-Dimensional Photovoltaic Structures with LLM guided Tree Search
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One GPU runs DG ocean model at speed of 1500 CPU cores
An efficient multi-GPU implementation for the Discontinuous Galerkin ocean model SLIM
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Three-qubit circuit generates calorimeter showers block by block
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
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Symplectic neural operators keep Hamiltonian PDEs stable over long times
Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems
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Z13 symmetry enables warm dark matter via a dimension-six operator
Freeze-in Warm Dark Matter via Dimension-6 Operators in 3-3-1 Models
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Decoupled subnetworks curb error growth in long PDE forecasts
Spatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs
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Proxy points give 10^{-14} accuracy in 39-layer Maxwell solver
Method of Fundamental Solutions for Maxwell's Equations in Bi-Periodic Multilayered Media
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Differentiable ray-wave model optimizes hybrid refractive-diffractive optics
A General Differentiable Ray-Wave Framework for Hybrid Refractive-Diffractive System Modeling and Optimization
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Neural PDE solvers pay off after fewer solves on harder problems
Breakeven complexity: A new perspective on neural partial differential equation solvers
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VQLS recovers classical solutions for Carleman-linearized Duffing
Measurement-Efficient Variational Quantum Linear Solver for Carleman-Linearized Nonlinear Dynamics
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This paper introduces Shodh-MoE
Eradicating Negative Transfer in Multi-Physics Foundation Models via Sparse Mixture-of-Experts Routing
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Method ensures one-to-one branch match in viscoelastic dispersion curves
Homotopy continuation of viscoelastic waveguide dispersion curves: from intra-manifold tracking to inter-manifold transport
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O(L^3) Clebsch-Gordan contractions via grid and surface-curl pairing
Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks
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Multi-channel positronium model added to GATE
A Monte Carlo positronium decay source model with multiple annihilation channels in GATE
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LLM agents autonomously develop ML interatomic potentials
Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows
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Database unifies 77k high-pressure structures under single DFT standard
High-Pressure Crystal Structure Database
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3D solver models fluid-driven slip and tensile ruptures together
Three dimensional simulation of fluid-driven frictional and tensile ruptures on existing discontinuities
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Neural tangent kernel modulates kernels to control waveform inversion convergence
Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
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Unified definition unifies conventional and quantum ferroelectrics
Unified definition of ferroelectricity
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Recurrent nets simulate 52x52 spin lattices accurately
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo
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Elastica++ is a new open-source software framework for fast
Elastica++: A high-performance, multiphysics framework for large interacting assemblies of Cosserat rods
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Hybrid coupling speeds DSMC reacting-flow simulations by orders of magnitude
Efficient simulation of chemical reaction in DSMC
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Heating patterns control convection and entropy in power-law fluids
Effects of Thermal Boundary Conditions on Natural Convection and Entropy Generation in Non-Newtonian Power-Law Fluids
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AD boosts JFNK solvers by 100-1000x with 95% completion
Robust Matrix-Free Newton-Krylov Solvers via Automatic Differentiation
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CP-DFT finds d-orbital correlations missed by standard DFT in CsV3Sb5
Conditional probability density functional theory for solids
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Onsager principle yields unified diffuse-domain models for interfaces
Onsager-variational formulation of diffuse-domain methods for computational modeling of microscale fluid-structure interactions
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Hessian matching outperforms force matching on eight proteins
Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics
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Boundary conditions shift FLiBe permeability estimates
Quantifying Multidimensional Transport Effects on Permeability Inference in FLiBe Systems Using a Validation-Informed Modeling Framework
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Activity speeds colloidal transport at fixed microphase order
Activity enhances transport while competing interactions preserve structure in colloidal microphase formers
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Singularity subtraction cuts MP2 finite-size errors
Reduction of finite-size effects for second-order M{\o}ller-Plesset perturbation theory with singularity subtraction
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Parallel training lets RNNs learn from sequences over 10,000 steps
Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction
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Two-layer nets cut critical slowing down to log scaling
The critical slowing down in diffusion models
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Two-layer networks shrink diffusion training time to log scaling
The critical slowing down in diffusion models
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Asymmetry tuning makes dielectric spheres interact as point charges at contact
Designing Coulombic Contact Interactions between Polarizable Particles through Asymmetry
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Tangent-plane uncertainty outperforms random sampling for magnetic potentials
Tangent-Plane Evidential Uncertainty in Active Learning for Magnetic Interatomic Potentials
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Generative models learn neutron sources from Monte Carlo lists
Machine Learning for neutron source distributions
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Diameter dynamics create ultrastable glasses
Identifying the relevant parameters in design strategies for stable glasses
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Adaptive fluxes preserve scalar bounds in high-order flow simulations
Formulations for scalar boundedness in simulations of turbulent compressible multi-component flows using high-order finite-difference methods
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Mapped wildfire surrogates match high-fidelity PDFs at 1000x lower cost
A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
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Probabilistic metric isolates model error from fusion test uncertainties
Towards Virtual Qualification in Nuclear Fusion: Demonstrating Probabilistic Model Validation on a High Heat Flux Component