Results 211 to 220 of about 279,145 (333)

Strategies for Paired Electrolysis with Enhanced Efficiency

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This review summarizes the fundamentals, challenges, and strategies for paired electrolysis, with examples in the chlor‐alkali, hydrogen production, CO2 reduction, and ammonia synthesis industries. Future directions include the development of advanced membranes, computational studies, process integration, scale‐up, and techno‐economic analysis.
Yuanyuan Yao   +6 more
wiley   +1 more source

STUDY OF THE STRUCTURE AND TECHNOLOGY OF PRODUCING PLUSH KNITTED FABRIC BASED ON A JACQUARD WEAVE

open access: diamond
Oygul Imomkulovna Nurmamatova   +4 more
openalex   +1 more source

Functional Advantage of Central Pancreatectomy Over Distal Pancreatectomy for Benign or Low‐Grade Malignant Tumors: A Comparative Analysis Based on 75‐g Oral Glucose Tolerance Test

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Central pancreatectomy (CP) better preserves postoperative pancreatic endocrine function than distal pancreatectomy for benign or low‐grade malignant tumors. The 75‐g oral glucose tolerance test demonstrated that CP maintained insulin secretion and glucose tolerance, highlighting its clinical advantage as a function‐preserving procedure.
Dongha Lee   +9 more
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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