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.

Rigorous Quantum Thermodynamics from Entropic Path Integral Coarse-Graining

The paper introduces Entropic Path-Integral Coarse-Graining (EPIGS), a scalable and low-cost framework that achieves rigorous quantum thermodynamic accuracy for complex systems by training transferable effective potentials on instanton-based centroid free energy and entropy data, thereby reproducing quantum effects at near-classical computational cost.

Jing Shen, Ziyan Ye, Ming-Zheng Du, Shi-Yu He, Dong H. Zhang, Jia-Xi Zeng, Venkat Kapil, Wei Fang2026-04-14🔬 physics

Learning noisy phase transition dynamics from stochastic partial differential equations

This paper introduces a physics-aware machine learning surrogate for the 3D stochastic Cahn-Hilliard equation that parameterizes inter-cell fluxes to guarantee mass conservation and thermodynamic interpretability, enabling the accurate simulation of noise-driven phenomena like nucleation and coarsening with significant generalization to larger spatial and temporal scales.

Luning Sun, Van Hai Nguyen, Shusen Liu, John Klepeis, Fei Zhou2026-04-14🔬 physics

Heterogeneous Molecular Signatures of Human Odor Perception

By employing interpretable machine learning models on first-principles molecular descriptors, this study reveals that human odor perception lacks a universal physicochemical determinant, instead relying on heterogeneous, odor-specific patterns of feature importance that reflect unique structure-odor relationships for each scent.

P. Zanineli, E. V. C. Lopes, G. R. Schleder, L. N. Lemos, F. Crasto de Lima, A. Fazzio2026-04-14🔬 cond-mat.mtrl-sci

Interference Limited Absorption in Dense Molecular Nanolayers Near Reflecting Surfaces

This paper investigates how interference effects in dense molecular nanolayers near reflecting surfaces lead to non-monotonic absorption behavior, revealing that while free-standing films are limited to 50% absorption due to symmetry, mirror-backed configurations can achieve unity absorption through critical coupling by balancing radiative leakage with intrinsic loss.

Zeyu Zhou, Maxim Sukharev, Abraham Nitzan, Joseph E. Subotnik2026-04-14🔬 physics.optics

How Does Intercalation Reshape Layered Structures? A First-Principles Study of Sodium Insertion in Layered Potassium Birnessite

This first-principles study investigates how sodium intercalation into layered potassium birnessite alters its structural stability, ion diffusion barriers, vibrational modes, and electronic properties, revealing that the process induces significant lattice distortions and transforms the material into a tunable bipolar magnetic semiconductor with potential applications in energy storage and spintronics.

Adriana Lee Punaro, Daniel Maldonado-Lopez, Jorge L. Cholula-Díaz, Marcelo Videa, Jose L. Mendoza-Cortes2026-04-14🔬 cond-mat.mtrl-sci

Symplectic Constraints in Classical Reaction Dynamics: From Gromov's Camel to Reaction Rates

This paper explores how concepts from symplectic topology, particularly Gromov's non-squeezing theorem, offer a novel geometric framework for understanding classical reaction dynamics near saddle points by identifying symplectic width scales that reveal how initial phase-space distributions influence reactivity and reaction bottlenecks beyond traditional flux-based metrics.

Stephen Wiggins2026-04-14🌀 nlin

CovAngelo: A hybrid quantum-classical computing platform for accurate and scalable drug discovery

CovAngelo is a hybrid quantum-classical platform that utilizes a novel QM/QM/MM embedding model and quantum-information metrics to accurately and scalably model ligand-protein binding reactions, such as the covalent docking of zanubrutinib, while demonstrating potential speedups on current and future quantum hardware to improve drug discovery efficiency.

Linn Evenseth, Kamil Galewski, Witold Jarnicki, Piero Lafiosca, Vyom N. Patel, Grzegorz Rajchel-Mieldzioc, Martin Šimka, Michał Szczepanik, Emil \.Zak2026-04-14🔬 physics

Symplectic Constraints in Quantum Reaction Dynamics: Squeezed-State Suppression and Candidate Width Scales

This paper investigates quantum reaction dynamics at an index-1 saddle using a Weyl-symbol formulation of quantum normal forms, revealing that extreme squeezing of transverse bath modes induces a geometric suppression of transmission by depleting effective reactive energy, thereby establishing a concrete link between squeezed-state covariance geometry and quantum reactivity consistent with classical symplectic width concepts.

Stephen Wiggins2026-04-14⚛️ quant-ph

Comparing and Contrasting Vibrational Wavepacket Dynamics and Impulsive Stimulating Raman Scattering Descriptions of Pump-Probe Spectroscopy: A Theoretical Study

This theoretical study compares wavepacket interference and impulsive stimulated Raman scattering (ISRS) descriptions of pump-probe spectroscopy, demonstrating that accurate modeling of excited-state absorption requires accounting for non-adjacent vibrational coherences and highlighting the dominant role of the coherent anti-Stokes pathway under specific spectral conditions.

Subho Mitra, Arijit K. De2026-04-14🔬 physics