Results 171 to 180 of about 17,293,984 (225)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
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

Breaking the Polarity–Coordination Coupling in Electrolyte Design for High‐Voltage Lithium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Steric and electronic co‐regulation of 2,2,2‐trifluoro‐N, N‐dimethylethylamide (DMTFA) decouples high polarity from strong Li+ coordination, creating an anion‐mediated pseudo‐weakly solvating electrolyte. This design lowers Li+ desolvation barriers, enhances Li+ mobility, and builds B‐, F‐, and N‐rich inorganic interphases, enabling stable 3.0–4.6 V ...
Xue Li   +9 more
wiley   +1 more source

Return and Volatility Spillovers Among Major Cotton Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli   +3 more
wiley   +1 more source

Return‐To‐Work and Working Status After Surgery for Gastric and Esophageal Cancer: A Prospective Observational Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto   +18 more
wiley   +1 more source

Impact of end-stage renal disease on stroke risk in patients with atrial fibrillation. [PDF]

open access: yesHeart Rhythm O2
El Bizri A   +6 more
europepmc   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

open access: yesAdvanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy