Results 211 to 220 of about 177,691 (298)

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +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

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

50 Years of Giese Reaction – a Personal View

open access: yesAngewandte Chemie, EarlyView.
The Giese‐Reaction celebrates its 50. Birthday, it is a cyclic radical chain reaction centered around C,C‐bond formation in a three component synthesis. This minireview speaks about the birth of the name‐reaction, explains how the complete understanding of its reaction mechanism stimulates new methods in organic synthesis, and why it can proceed in ...
Martin Spichty   +4 more
wiley   +2 more sources

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Molecular Electrocatalyst Enables Direct Electrochemical Capture and Conversion of CO2 up to Atmospheric Concentration

open access: yesAngewandte Chemie, EarlyView.
A molecular manganese electrocatalyst enables the direct electrochemical capture and conversion of dilute CO2 (1% – 0.2%) to CO with nearly unit Faradaic efficiency, achieving high efficiency even at atmospheric concentrations (420 ppm). By bypassing energy‐intensive pre‐concentration steps, this integrated approach highlights a sustainable pathway for
Mattia Vettori   +6 more
wiley   +2 more sources

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