1190 papers
Computational physics bridges the gap between abstract theory and real-world observation by using powerful computers to solve complex physical problems. This field allows scientists to simulate everything from the collision of subatomic particles to the swirling dynamics of galaxies, offering insights that traditional experiments alone cannot provide.
On Gist.Science, we continuously process every new preprint in this category from arXiv to make these breakthroughs accessible to everyone. Each entry is accompanied by both a clear, plain-language explanation and a detailed technical summary, ensuring that researchers and curious readers alike can grasp the significance of the latest findings without getting lost in dense equations.
Below are the latest papers in computational physics, curated to keep you at the forefront of this rapidly evolving discipline.
This paper proposes a post-hoc phase-steering framework for graph-based CFD surrogates that utilizes sparse autoencoders to extract disentangled latent features and applies temporally coherent, phase-aware rotations to correct phase drift in oscillatory flows without retraining.
This paper proposes a velocity-weighted loss function for Physics-Informed Neural Networks that overcomes the limitations of standard formulations in solving the BGK model by ensuring the convergence of macroscopic moments and demonstrating superior accuracy and robustness through theoretical stability analysis and numerical experiments.
This paper introduces Jeffreys Flow, a robust generative framework that mitigates mode collapse in Boltzmann generators by distilling Parallel Tempering data via symmetric Jeffreys divergence, thereby enabling accurate and scalable sampling of complex, multi-modal physical systems.
This paper demonstrates that employing Centroidal Voronoi Tessellation (CVT) archives with ChemBERTa-2 and UMAP-derived chemical embeddings significantly outperforms traditional grid-based approaches in Multi-Objective MAP-Elites for discovering diverse, high-quality nonlinear optical molecules by efficiently navigating complex chemical spaces and balancing multiple competing objectives.
This study challenges the notion that the SCF method fails for larger molecules by demonstrating through new experimental and computational results on anthrone and a 44-molecule dataset that the method accurately predicts core electron binding energies for systems up to 40 atoms.
This paper introduces JZ-Tree, an open-source JAX and CUDA framework that employs a GPU-optimized Morton z-order plane-based tree hierarchy to overcome thread divergence and memory access inefficiencies, achieving over an order-of-magnitude performance improvement in -nearest neighbour search and friends-of-friends clustering compared to existing GPU libraries.
This paper presents numerical simulations of the one-dimensional fractional cubic defocusing wave equation in a periodic setting, demonstrating that both norm inflation and probabilistic well-posedness can be observed in energy subcritical and supercritical regimes, thereby providing the first numerical evidence of these fine behaviors previously known only theoretically.
This paper proposes and validates efficient, high-order numerical schemes that combine implicit-explicit Runge-Kutta time-stepping with Fourier collocation and relaxation-based post-processing to rigorously conserve mass and energy (or satisfy energy balance equations) for Schrödinger-Poisson systems, including those with time-varying coefficients relevant to cosmological simulations.
This paper presents an integrated machine learning framework that efficiently explores the high-dimensional composition space of refractory compositionally complex alloys (RCCAs) to predict phase stability and temperature-dependent mechanical properties, thereby accelerating the discovery of new high-temperature materials.
Using controlled diagrammatic Monte Carlo simulations on the half-filled Lieb lattice, this study reveals that flat-band superconductivity exhibits a linear pairing response to attractive interactions and identifies a characteristic temperature as a controlled upper bound for , which is maximized when all three bands touch at a single momentum point.