🏛️ The physics.comp-ph Crypt
physics.comp-ph: Where physics.comp-ph papers rest without their code.
231
Total Papers
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The Stabilized Explicit Variable-Load Solver with Machine Learning Acceleration for the Rapid Solution of Stiff Chemical Kinetics
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Hardware Random number Generator for cryptography
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A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics
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Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning
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Kubernetes Deployment Options for On-Prem Clusters
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Self-Organizing Complex Networks with AI-Driven Adaptive Nodes for Optimized Connectivity and Energy Efficiency
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Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
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KAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for ordinary/partial differential equation discovery of nonlinear dynamic systems
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MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations
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Lagrangian-Eulerian Multi-Density Topology Optimization with the Material Point Method
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Smart energy models for atomistic simulations using a DFT-driven multifidelity approach
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Using ATLAS@Home to exploit extra CPU from busy grid sites
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The electromagnetic waves propagation in unmagnetized plasma media using parallelized finite-difference time-domain method
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Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network
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Application of machine learning technique for a fast forecast of aggregation kinetics in space-inhomogeneous systems
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Alpha Zero for Physics: Application of Symbolic Regression with Alpha Zero to find the analytical methods in physics
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Learning Feynman Diagrams using Graph Neural Networks
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Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems
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A general optimization framework for mapping local transition-state networks
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The Artificial Scientist -- in-transit Machine Learning of Plasma Simulations
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Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis
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DeepF-fNet: a physics-informed neural network for vibration isolation optimization
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