Results 151 to 160 of about 245,172 (300)
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
A blockchain secured metaverse framework for scalable and immersive telemedicine. [PDF]
Sonkamble RG +5 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Hyperledger Fabric-Powered Digital Identity Scheme: Transforming CIA-Triad Security in IoMT Integrated Healthcare Eco-System. [PDF]
Jena S, Barik RC, Padhan S.
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
A User’s Guide to Australian Secured Transactions Law Reform [PDF]
Ralph Simmonds
doaj
Quantum secured blockchain framework for enhancing post quantum data security. [PDF]
Reddy NR +5 more
europepmc +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart home. [PDF]
Preethi, Ulla MM, R S, Devadas RM.
europepmc +1 more source

