Results 221 to 230 of about 2,955,431 (288)

Life science research in extreme environments: a conversation with astronaut Jessica Meir. [PDF]

Commun Biol
europepmc   +1 more source

Modeling and simulation of dual-battery FANET system using MADRL for energy optimization. [PDF]

Sci Rep
Mary AS, Kumar TSP.
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

The impact of mission valence on innovative work behavior among civil servants: the roles of harmonious passion, spiritual leadership, and the organization's fault-tolerant climate. [PDF]

Front Psychol
Liu X, Zhang S, Huang Q.
europepmc   +1 more source

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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Korea-rice loan [PDF]

, 1973
USAID(Mission to Korea)
core  

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

Impact of high-risk mutations, myeloid sarcoma, and molecular response on outcomes in pediatric t(8;21) AML

Pediatric Hematology Oncology Journal
V. Anitha, T. Kasiviswanathan, R.M. Annapoorani, Venkateswaran   +3 more
doaj   +1 more source

Prediction of Optic Disc Edema Progression During Spaceflight. [PDF]

JAMA Ophthalmol
Carter KJ, Ferguson CR, O'Grady CS, Poczatek MJ, Chen X, Young M, Huang AS, Laurie SS, Macias BR.   +8 more
europepmc   +1 more source

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

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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source