This collection explores the fascinating intersection where the laws of physics meet the complex machinery of chemistry. Here, researchers investigate how quantum mechanics governs molecular bonds, how light interacts with matter at the atomic scale, and how fundamental forces shape chemical reactions. It is a realm where abstract mathematical models collide with tangible substances to reveal the hidden mechanisms driving our material world.

On Gist.Science, we process every new preprint in this category directly from arXiv to make these discoveries accessible to everyone. Whether you are a seasoned expert or a curious reader, you will find both plain-language explanations and detailed technical summaries for each paper. Below are the latest contributions from the community pushing the boundaries of physical chemistry.

Isomer effects on neutral-loss dissociation channels of nitrogen-substituted PAH dications

This study investigates the isomer-dependent neutral-loss dissociation mechanisms of quinoline and isoquinoline dications through ion-ion coincidence mass spectrometry and potential energy surface calculations, revealing that HCN-loss is the dominant decay channel and that the nitrogen atom's position significantly influences many-body fragmentation pathways involving seven-membered ring isomerization.

Sumit Srivastav, Sylvain Maclot, Alicja Domaracka, Sergio Díaz-Tendero, Patrick Rousseau2026-02-20🔬 physics

Ferrocene-functionalized covalent organic framework exceeding the ultimate hydrogen storage targets: a first-principles multiscale computational study

This first-principles multiscale computational study demonstrates that a ferrocene-functionalized covalent organic framework (MSUCOF-4-FeCp) significantly exceeds U.S. Department of Energy hydrogen storage targets with 18.0 wt% gravimetric and 72.6 g H2/L volumetric capacities at 298 K and 700 bar, offering a cost-effective alternative to precious metal-based materials.

Marcus Djokic, Jose L. Mendoza-Cortes2026-02-20🔬 cond-mat.mtrl-sci

Accelerating Instanton Theory with the Line Integral String Method, Gaussian Process Regression, and Selective Hessian Modeling

This paper presents a computational framework combining Gaussian process regression, GPU-accelerated matrix operations, and selective Hessian modeling to significantly accelerate ring polymer instanton calculations for molecular tunneling rates and splittings while maintaining high accuracy.

Chenghao Zhang, Amke Nimmrich, Axel Gomez, Munira Khalil, Niranjan Govind2026-02-20🔬 physics

Brownian dynamics simulations of electric double-layer capacitors with tunable metallicity

This paper introduces an efficient Brownian dynamics simulation method for electric double-layer capacitors that models electrodes with tunable Thomas-Fermi screening lengths under a Born-Oppenheimer approximation, enabling the study of larger systems and longer time scales while accurately capturing ionic density profiles and differential capacitance.

Paul Desmarchelier, Alexandre P. dos Santos, Yan Levin, Benjamin Rotenberg2026-02-19🔬 physics

A CPD-enabled low-scaling environment solver in a coupled cluster based static quantum embedding theory

This paper introduces a canonical polyadic decomposition (CPD) based low-scaling solver for the MPCC quantum embedding framework that reduces storage and computational complexity from cubic/quartic to linear/quadratic scaling while maintaining high accuracy in reproducing reference energies and chemical properties for water clusters and alkane chains.

Karl Pierce, Muhammad Talha Aziz, Avijit Shee, Fabian M. Faulstich2026-02-19🔬 physics