Johari-Goldstein relaxation in quenched and irradiated chalcogenide glasses.
Baglioni J +8 more
europepmc +1 more source
Investigating Polyethylene Solubility for Solvent-Based Recycling: Experiments and SAFT‑γ Mie Predictions. [PDF]
Standish R +6 more
europepmc +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
The role of cation and anion structural modifications for the enhanced CO<sub>2</sub> solubility of hydroxyl ammonium- and pyridinium-based ionic liquids. [PDF]
Abdelmagid AM +3 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
High-throughput synthesis of zinc-functionalized bio-ceramics propels the rational design of bone implants. [PDF]
Huang H +13 more
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Enthalpy-Entropy Trade-Off Underlies Geometric Isomer Selectivity in Histamine H<sub>1</sub> Receptor-Doxepin Interaction. [PDF]
Kaneko H +4 more
europepmc +1 more source
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun +6 more
wiley +1 more source

