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🏛️ The physics.comp-ph Crypt
physics.comp-ph: Where physics.comp-ph papers rest without their code.
231
Total Papers
198
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Twilight
33
Has Code
14.3%
Survival Rate
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Implementing scalable matrix-vector products for the exact diagonalization methods in quantum many-body physics
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Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
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Impressive computational acceleration by using machine learning for 2-dimensional super-lubricant materials discovery
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Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization of an Algorithm
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Exploiting Parallelism on Shared Memory in the QED Particle-in-Cell Code PICADOR with Greedy Load Balancing
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Parallel Statistical Multi-resolution Estimation
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A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems
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Data Distillation for Neural Network Potentials toward Foundational Dataset
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Physics-Constrained Generative Adversarial Networks for 3D Turbulence
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Genetic-tunneling driven energy optimizer for spin systems
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Multiscale Analysis of Woven Composites Using Hierarchical Physically Recurrent Neural Networks
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Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks
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A Massively Parallel Performance Portable Free-space Spectral Poisson Solver
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Portable GPU implementation of the WP-CCC ion-atom collisions code
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Polar Interpolants for Thin-Shell Microstructure Homogenization
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Scalability of 3D-DFT by block tensor-matrix multiplication on the JUWELS Cluster
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Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron
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A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems
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A QMC-deep learning method for diffusivity estimation in random domains
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Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism
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Efficient Simulation of Fluid Flow and Transport in Heterogeneous Media Using Graphics Processing Units (GPUs)
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Overcoming Limitations of GPGPU-Computing in Scientific Applications
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