1 citations · 1 across the 3 of their papers we have counts for
Showing physics.chem-phShow all
3 papers · 1 filter
physics.chem-ph2026
Interpretable Machine Learning for Quantum-Informed Property Predictions in Artificial Sensing Materials
Li Chen, Leonardo Medrano Sandonas, Shirong Huang +2
Digital sensing faces challenges in developing sustainable methods to extend the applicability of customized e-noses to complex body odor volatilome (BOV). To address this challeng…
physics.chem-ph2024
From Local Atomic Environments to Molecular Information Entropy
Alexander Croy
The similarity of local atomic environments is an important concept in many machine-learning techniques which find applications in computational chemistry and material science. Her…
physics.chem-ph2024
Structural Reinforcement in Mechanically Interlocked Two-Dimensional Polymers by Suppressing Interlayer Sliding
Ye Yang, André Knapp, David Bodesheim +12
Preserving the superior mechanical properties of monolayer two-dimensional (2D) materials when transitioning to bilayer and layer-stacked structures poses a great challenge, primar…