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.

Designing the Haystack: Programmable Chemical Space for Generative Molecular Discovery

The paper introduces SpaceGFN, a generative framework that transforms chemical space into a programmable object by decoupling the explicit construction of synthetically coherent molecular universes from GFlowNet-based exploration, thereby enabling both targeted discovery of novel scaffolds and synthesis-aware lead optimization.

Yuchen Zhu, Donghai Zhao, Yangyang Zhang, Yitong Li, Xiaorui Wang, Shuwang Li, Yue Kong, Beichen Zhang, Ricki Chen, Chang Liu, Xingcai Zhang, Tingjun Hou, Chang-Yu Hsieh2026-03-03🧬 q-bio

Spin-current correlations in photoionization of chiral molecules

This paper demonstrates that chiral molecules support time-even spin-momentum correlations in photoionization that are revealed only through conditioned measurements, arguing that such correlations constitute the fundamental origin of chirality-induced spin selectivity (CISS) phenomena and identifying the specific molecular pseudovectors governing these spin-conditioned photoelectron currents.

Philip Caesar M. Flores, Stefanos Carlström, Serguei Patchkovskii, Misha Ivanov, Andres F. Ordonez, Olga Smirnova2026-03-02🔬 physics.atom-ph

Diverse polymorphism in Ruddlesden-Popper chalcogenides

This study employs machine-learned interatomic potentials to simulate Ban+1ZrnS3n+1Ba_{n+1}Zr_nS_{3n+1} Ruddlesden-Popper chalcogenides, revealing diverse new polymorphs, unique structural behaviors like negative thermal expansion and ascending symmetry breaking, and layer-dependent tilt patterns driven by the competition between octahedral rotations and interface rumpling.

Prakriti Kayastha, Erik Fransson, Paul Erhart, Lucy Whalley2026-03-02🔬 cond-mat.mtrl-sci

Photoluminescence Line Shapes of Nanocrystals: Contributions from First- and Second-Order Vibronic Couplings

This paper presents a parameter-free microscopic approach that successfully reproduces experimental photoluminescence spectra of CdSe/CdS nanocrystals by demonstrating that second-order diagonal vibronic couplings are the dominant source of homogeneous linewidth broadening at temperatures above 100–150 K, while off-diagonal couplings play a negligible role until near room temperature.

Kaiyue Peng, Bokang Hou, Kailai Lin, Caroline Chen, Hendrik Utzat, Eran Rabani2026-03-02🔬 cond-mat.mtrl-sci

Molecular Electron Transfer in Optical Cavities: From Excitonic to Vibronic Polaritons

Using the numerically exact hierarchical equations of motion method, this study reveals that strong light-matter coupling in optical cavities fundamentally alters electron transfer dynamics by inducing saturation in the strong-coupling regime and generating non-monotonic, oscillatory rate behaviors through vibronic polariton formation and quantum interference among electronic, vibrational, and photonic degrees of freedom.

Takumi Hidaka, Tomohiro Fukushima, Nguyen Thanh Phuc2026-03-02🔬 cond-mat.mes-hall

Critical point search and linear response theory for computing electronic excitation energies of molecular systems. Part I: General framework, application to Hartree-Fock and DFT

This paper presents a unified Kähler manifold framework that systematically derives linear response equations for computing electronic excitation energies across various variational models, offering a streamlined alternative to traditional methods like Casida's derivation for Hartree-Fock and DFT.

Laura Grazioli, Yukuan Hu, Eric Cancès2026-02-27🔢 math-ph