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.

🔬 physics

Diffusioosmosis of electrolyte solutions in axisymmetric channels

This paper presents a theoretical framework for diffusio-osmotic flow in long axisymmetric channels with thin electrostatic diffuse layers, demonstrating that while the flow rate in a cylinder matches that of an equivalent slit, variable channel geometries can significantly enhance or retard the flow and tune ionic flux, enabling a simplified cylinder approximation for designing micro- and nanofluidic devices.

Elena F. Silkina, Evgeny S. Asmolov, Olga I. Vinogradova2026-07-17
🔬 materials science

Multiwavelength Raman investigation of mono- and few-layer MoS2 grown by Pulsed Laser Deposition on SiO2

This paper demonstrates the room-temperature growth of mono- and few-layer MoS2_2 on SiO2_2 substrates via pulsed laser deposition and utilizes multiwavelength Raman spectroscopy to characterize film thickness and defect density while providing experimental evidence of symmetry-dependent exciton-phonon coupling in the resulting material.

Alice Cartoceti (Department of Energy, Politecnico di Milano, Milano, Italy), Paolo D'Agosta (Department of Energy, Poli (…)2026-07-16
🔬 physics

Girsanov Reweighting for Uncertainty Propagation in Rare-Event Kinetics

This paper introduces a Girsanov reweighting framework that efficiently propagates machine-learning interatomic potential uncertainties to rare-event kinetic observables, such as committor probabilities and reaction rates, by estimating sensitivity without the need for costly resampling of reactive trajectories.

Leonard Moracchini, Thomas Pigeon, Morgane Menz, Thibault Faney, Thomas D. Swinburne, Mihai-Cosmin Marinica2026-07-16
🔬 physics

Accurate Solvation Properties in supercritical CO2_2 with Molecular Density Functional Theory

This paper demonstrates that classical molecular density functional theory can accurately predict the solvation properties of supercritical CO2_2 with computational costs several orders of magnitude lower than conventional molecular simulations, particularly when employing the homogeneous reference fluid approximation.

Mohamed Houssein Mohamed, Odette Tannous, Camille Muller, Daniel Borgis, Francesca Ingrosso, Luc Belloni, Antoine Carof2026-07-16
🔬 physics

Solid-State NMR Dipolar Recoupling in Presence of Large Chemical Shielding Anisotropies by Quaternion-Based Effective Hamiltonian Optimal Control

This paper introduces a quaternion-based optimal control method to achieve robust dipolar recoupling and polarization transfer in solid-state NMR spectroscopy, effectively mitigating the challenges posed by large chemical shielding anisotropies, as demonstrated through numerical and experimental 19F-to-13C transfer.

Enikő Baligács, Nino Wili, José P. Carvalho, Anders Bodholt Nielsen, Niels Chr. Nielsen2026-07-16