Results 131 to 140 of about 52,040 (308)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced 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
Greetings from Southern Missionary College
, 1948 The Board of Trustees of Southern Missionary College takes pleasure in extending this personal invitation to visit Collegedale, Tennessee.https://knowledge.e.southern.edu/booksandpamphlets/1004/thumbnail ...
Southern Missionary College
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A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Advanced 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
Annual report of the Woman's Baptist Missionary Society of the West.
, 1872 First and 2d reports combined.Mode of access ...
Woman's Baptist Missionary Society of the West.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Crossing Borders of Care: The Professionalization of Women in Nursing and China-US Collaboration at Xiangya, 1909-1926. [PDF]
Nurs InqTang Y, Tobbell D.
europepmc +1 more source
The Niger [cartographic material].
, 1886 Map of West Africa with relief shown by hachures.; Shows stations of the Church Missionary Society, and German possessions.; "C.M.S. report, Pl.2."; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.map ...
Church Missionary Society (Great Britain)
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Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Work of Oliver R. Avison and His Ecumenical Spirit. [PDF]
Yonsei Med JChung M.
europepmc +1 more source