Results 211 to 220 of about 177,691 (298)
Deep Learning‐Assisted Design of Mechanical Metamaterials
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
Cosmological Imprints of the Second Law of Thermodynamics
Hyeong-Chan Kim +2 more
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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
Compatibility of the evolution equation for heat flux in dual-phase-lag and three-phase-lag with the principles of thermodynamics. [PDF]
Fawzy A, Mahmoud W, Rawy EK, Ghaleb AF.
europepmc +1 more source
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
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
Disentangling Brillouin's Negentropy Law of Information and Landauer's Law on Data Erasure. [PDF]
Lairez D.
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
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
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
Thermodynamic Operations and Entropy Considerations for a Ring-of-Charge Oscillator System. [PDF]
Cole DC.
europepmc +1 more source

