The analysis of electron densities: from basics to emergent applications

D Koch, M Pavanello, X Shao, M Ihara… - Chemical …, 2024 - ACS Publications
The electron density determines all properties of a system of nuclei and electrons. It is both
computable and observable. Its topology allows gaining insight into the mechanisms of …

Cephalopod-Inspired Nanomaterials for Optical and Thermal Regulation: Mechanisms, Applications and Perspectives

J Zhang, P Wang, W **e, H Wang, Y Zhang, H Zhou - ACS nano, 2024 - ACS Publications
The manipulation of interactions between light and matter plays a crucial role in the
evolution of organisms and a better life for humans. As a result of natural selection, precise …

Peering inside the black box: Learning the relevance of many-body functions in Neural Network potentials

K Bonneau, J Lederer, C Templeton… - arxiv preprint arxiv …, 2024 - arxiv.org
Machine learned potentials are becoming a popular tool to define an effective energy model
for complex systems, either incorporating electronic structure effects at the atomistic …

Analyzing Atomic Interactions in Molecules as Learned by Neural Networks

M Esders, T Schnake, J Lederer… - Journal of Chemical …, 2025 - ACS Publications
While machine learning (ML) models have been able to achieve unprecedented accuracies
across various prediction tasks in quantum chemistry, it is now apparent that accuracy on a …

Quantum topological atomic properties of 44k molecules

B Meza-González, DI Ramírez-Palma… - Scientific Data, 2024 - nature.com
We present a data set of quantum topological properties of atoms of 44K randomly selected
molecules from the GDB-9 data set. These atomic properties were obtained as defined by …

Crystalline material discovery in the era of artificial intelligence

Z Wang, H Hua, W Lin, M Yang, KC Tan - arxiv preprint arxiv:2408.08044, 2024 - arxiv.org
Crystalline materials, with their symmetrical and periodic structures, possess a diverse array
of properties and have been widely used in various fields, ranging from electronic devices to …

Machine learning assisted reactor and full process optimization design for alcohol oxidation

Z Zhang, D Zhang, M Zhu, H Zhao, X Zhou… - Chemical Engineering …, 2025 - Elsevier
Abstract The oxidation of 2-ethylhexanol (2-EHA) to produce 2-ethylhexanoic acid (2-EHAD)
suffers from low efficiency and high energy consumption caused by industrial batch …

Filling the Gap in LogP LogP and pK a pK _a Evaluation for Saturated Fluorine‐Containing Derivatives With Machine Learning

O Gurbych, P Pavliuk, D Krasnienkov… - Journal of …, 2025 - Wiley Online Library
Lipophilicity and acidity/basicity are fundamental physical properties that profoundly affect
the compound's pharmacological activity, bioavailability, metabolism, and toxicity. Predicting …

Plurality and identity: on the educational relations between chemistry and physics

PJS Gómez, M Suárez - Chemistry Education Research and Practice, 2025 - pubs.rsc.org
We present an approach to the question of the educational relations between chemistry and
physics based on the one hand, on an inferentialist account of scientific representation …

Stability of drop-like water cluster

MV Kirov - Chemical Physics Letters, 2025 - Elsevier
Water clusters with twenty or fewer molecules have been well studied. For the 20-molecule
cluster, the most stable structural families have been established, most of which have a fairly …