Molecular dynamics simulations with machine learning potentials, combined with experiments, reveal how interlayer metals govern Li alloying and crystallization in zero‐excess lithium batteries. Mg and Zn promote solid‐solution alloy‐mediated pathways that influence Li diffusion and structural uniformity, while Bi forms ordered intermetallics with more ...
Neubi F. Xavier Jr. +10 more
wiley +1 more source
Mechanistic study of <i>TFE3</i> breakage in <i>TFE3</i>-rearranged renal cell carcinoma: the perspective of non-canonical DNA structures and their stability. [PDF]
Zhang X +6 more
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Interfacial Stability and Design Strategies for Halide Solid Electrolytes in High-Voltage All-Solid-State Sodium-Ion Batteries. [PDF]
Jang M, Kwon E, Jeon C, Kim S, Yu S.
europepmc +1 more source
Excipient emulsion systems improve carotenoid solubilization, protect against degradation, and enhance gastrointestinal absorption through optimized formulation and digestion behavior. ABSTRACT Carotenoids are bioactive compounds that contribute to human health through antioxidant, provitamin A, and disease‐preventive effects.
Tugce Ceyhan +3 more
wiley +1 more source
Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium. [PDF]
Fletcher VG, Bartók AP, Pártay LB.
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Bubble Nucleation and Growth in a Force-Driven Flowing Liquid Film Under Controlled Pressure by Molecular Dynamics Simulation. [PDF]
Li Z, Cai Z, Gao Z.
europepmc +1 more source
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu +3 more
wiley +1 more source
Comparative Assessment of Statistical and Thermodynamic Prediction Methods for Solvate Formation: A Case Study with Curcumin and Its Derivatives. [PDF]
Ticona-Chambi J +3 more
europepmc +1 more source

