Results 161 to 170 of about 4,758,341 (350)

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Graph Neural Network Driven Exploration of Non‐Precious Metal Catalysts for Air‐to‐Ammonia Conversion

open access: yesAdvanced Materials, EarlyView.
A machine learning‐driven microkinetic framework, based on graph neural networks is developed, for screening non‐noble catalysts in NH2OH hydrogenation. This approach enables the discovery of efficient catalysts for plasma–electrochemical ammonia synthesis directly from air under ambient conditions. CuMnSb is identified as a top‐performing, sustainable
Chengyi Zhang   +9 more
wiley   +1 more source

The Washtenaw ID Project: A Government-Issued ID Coalition Working Toward Social, Economic, and Racial Justice and Health Equity [PDF]

open access: bronze, 2019
Alana M. W. LeBrón   +5 more
openalex   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Exploring 3D Printing and Electrospinning Technologies for Advanced Porous Membrane Fabrication: A Review

open access: yesAdvanced Materials Technologies, EarlyView.
This paper contrasts electrospinning and 3D printing for porous membrane fabrication, evaluating their evolution, cost, resolution, mechanical traits, and scalability. While 3D printing excels in material diversity and industrial adaptability, electrospinning achieves finer resolution and thermal resilience.
Eya Kacem   +6 more
wiley   +1 more source

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