Results 131 to 140 of about 192,839 (299)

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

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

Interkulturelle Kommunikation und christliche Mission in der frühen Neuzeit

, 2009
Michael Sievernich
openalex   +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

Missional fatherhood as praxis to Christian families who grapple with father absence: The Bible as key answer to this issue, African Sun Media under the Sun Press Imprint at Stellenbosch, 2021, 195 pp. [PDF]

Diversitate si Identitate Culturala in Europa
In this review, we explore Fazel Ebrihiam Freeks’ book titled Missional Fatherhood as Praxis to Christian Families Who Grapple with Father Absence: The Bible as Key Answer to This Issue. The book significantly expands upon the role of missional parenting,
Lavinia NĂDRAG
doaj  

Spirit and truth: Reckoning with the crises of Covid-19 for the Church. [PDF]

Dialog, 2020
Evener V.
europepmc   +1 more source

Witnessing God’s Mission: Towards a Missional Ecclesiology of the Church of England.

, 2021
Mark Peter Charles Collinson
openalex   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

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, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

EFSUMB Guidelines – Mission accomplished – Seven novel GIUS guidelines and recommendation papers [PDF]

, 2021
Helge Odd, Gilja, K Nylund, G Maconi, A Hollerweger, T Ripolles, N Pallotta, A Higginson, C Serra, C Dietrich, I Sporea, A Saftoiu, K Dirks, T Hausken, E Calabrese, L Romanini, C Maaser, D Nuernberg, O Gilja, G Maconi, K Nylund, T Ripolles, E Calabrese, K Dirks, C Dietrich, A Hollerweger, I Sporea, A Saftoiu, C Maaser, T Hausken, A Higginson, D Nrnberg, N Pallotta, L Romanini, C Serra, O Gilja, D Nuernberg, A Saftoiu, A Barreiros, E Burmester, E Ivan, D Clevert, C Dietrich, O Gilja, T Lorentzen, G Maconi, I Mihmanli, C Nolsoe, F Pfeffer, S Rafaelsen, Z Sparchez, P Vilmann, Jer Waage, K Dirks, E Calabrese, C Dietrich, O Gilja, T Hausken, A Higginson, A Hollerweger, G Maconi, C Maaser, D Nuernberg, K Nylund, N Pallotta, T Ripolles, L Romanini, A Saftoiu, C Serra, M Wstner, I Sporea, C Dietrich, A Hollerweger, K Dirks, A Higginson, C Serra, E Calabrese, Y Dong, T Hausken, G Maconi, I Mihmanli, D Nrnberg, K Nylund, N Pallotta, T Ripolls, L Romanini, A Sftoiu, I Sporea, M Wstner, C Maaser, O Gilja, A Hollerweger, G Maconi, T Ripolles, K Nylund, A Higginson, C Serra, C Dietrich, K Dirks, O Gilja   +99 more
openalex   +1 more source

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, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source