Results 201 to 210 of about 11,619,989 (245)

Near‐Unity Selectivity Inversion Between CO2 Electroreduction and H2 Evolution via Atomic Coordination Editing

open access: yesAdvanced Science, EarlyView.
Atomic coordination editing functions as an on/off switch that toggles single‐atom catalysts between CO2 electroreduction and hydrogen evolution. ABSTRACT Precise atomic coordination editing of single‐atom catalysts (SACs) provides an effective strategy to tune their electronic structures and catalytic selectivity. Yet, achieving near‐unity selectivity
Yukun Zhao   +11 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Factors associated with prevalent hypertension among adults living with HIV receiving antiretroviral therapy in Yaounde, Cameroon: a cross-sectional study. [PDF]

open access: yesAIDS Res Ther
Nang Nang FD   +11 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

open access: yesAdvanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su   +13 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy