922 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 introduces MF-BPINN, a novel multi-fidelity framework that integrates Bayesian uncertainty quantification and adaptive residual learning to efficiently solve parametric partial differential equations by synergistically combining sparse high-fidelity data with abundant low-fidelity simulations.
This paper introduces and validates a novel class of non-variational, noise-resilient quantum optimization heuristics—Quantum-enhanced Simulated Annealing (QeSA) and Quantum-enhanced Parallel Tempering (QePT)—that utilize Markov Chain Monte Carlo techniques to achieve superior scaling over classical benchmarks on hard Sherrington-Kirkpatrick instances.
This paper reconciles the two prevailing views on ultraslow glass dynamics by demonstrating that both local mobility constraints and global landscape complexity are unified through "time-reparametrization softness," a property that modern acceleration algorithms successfully exploit to optimize relaxation and potentially solve broader constraint satisfaction problems.
This study employs AREPO hydrodynamic simulations to characterize the morphology and luminosity of Tidal Disruption Encores (TDEEs)—secondary flares caused when a stellar-mass black hole disrupts a star within a nuclear star cluster—revealing distinct ring and direct outcomes that offer new tools for probing nuclear star cluster dynamics and explaining anomalous TDE-like flares.
This paper revisits energy-momentum squared gravity by incorporating second derivatives of the matter Lagrangian and thermodynamic relations, demonstrating that the resulting scalar-tensor theory supports linear stability and successfully describes the Universe's evolution from matter domination to late-time accelerated expansion.
This study demonstrates the successful synthesis of a stable monolayer ice phase on a hydrophobic Au(111) surface using a low-energy-electron-assisted growth method, challenging the conventional view that such ordered structures cannot form on inert substrates.
This paper demonstrates that short-range attractive interactions among thermally driven Brownian quasiparticles enable energy-efficient, scalable, and robust optimization through emergent cooperative behavior, outperforming non-interacting searchers in both static and dynamic spatial landscapes.
This paper introduces a universal, black-box quantum Monte Carlo framework that utilizes exact, closed-form estimators for energy and fidelity susceptibilities to detect quantum phase transitions across arbitrary Hamiltonians without requiring prior knowledge of order parameters or model-specific update rules.
This paper presents a formal framework within the permutation matrix representation of quantum Monte Carlo simulations to derive exact estimators for arbitrary static observables and general imaginary-time correlation functions, demonstrating its practical utility through applications to the transverse-field Ising model.
This study employs first-principles calculations to characterize the newly synthesized 2D Vivianene, revealing its room-temperature stability, indirect bandgap of 3.03 eV dominated by Fe d-orbitals, and enhanced optical absorption in the ultraviolet region, which collectively suggest its promising potential for optoelectronic and sensing applications.