1164 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 investigates PDE-constrained optimization for stabilizing Vlasov-Poisson plasma systems, demonstrating that while dispersion analysis yields effective initial guesses, objective functions incorporating time-integrated information are superior for gradient-based optimization due to their more convex-like landscapes.
This paper investigates the approximation properties, convergence, and stability of the ADER-DG method for solving ordinary differential equation systems, proving its -, $AN$-, -, -, $BN$-, and algebraic stability while demonstrating its practical compliance with these theoretical results.
This paper introduces a computationally efficient body-free simulation framework that successfully reconstructs three-dimensional turbulent cylinder wakes at various Reynolds numbers by prescribing low-dimensional inflow profiles from the absolutely unstable near-wake region, thereby demonstrating that the essential wake dynamics are governed by near-wake instability rather than the explicit presence of the cylinder.
This paper introduces Eiron, a new open-source Monte Carlo code implementing a domain-decomposed algorithm that significantly improves scalability and enables large-scale neutral transport simulations for nuclear fusion that were previously impossible due to memory constraints in the widely used EIRENE solver.
Using finite-temperature density functional theory, this study demonstrates that electronic entropy is a primary driver of solid-solid phase transitions among seventeen elemental metals, revealing systematic trends in structural stability under strong electronic excitation.
This paper introduces Qhronology, a novel Python package designed to simulate quantum models of closed timelike curves, analyze temporal paradoxes, and function as a comprehensive quantum circuit simulator for both numerical and symbolic computations.
This paper proposes a constructive, observation-centered framework for quantum mechanics that prioritizes signal analysis over traditional wave functions to address the mismatch between infinite-dimensional formalism and finite computational accuracy, ultimately aiming to provide rigorous effective descriptions for complex quantum systems.
The paper introduces Bayesian-ARGOS, a hybrid framework that combines rapid frequentist screening with focused Bayesian inference to enable automated, statistically rigorous, and computationally efficient discovery of governing equations from noisy, limited data across diverse systems ranging from chaotic dynamics to global climate patterns.
This paper presents an end-to-end autonomous LLM agent capable of executing a "mini research loop" on computational physics literature, demonstrating its ability to autonomously identify substantive flaws in 42% of 111 papers and independently generate a publishable critique that revises the conclusions of a specific Nature Communications study.