Results 181 to 190 of about 83,611,958 (203)
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
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The joint survival signature of coherent systems with shared components
Reliability Engineering and System Safety, 2021Tahani Coolen-Maturi, Frank Coolen
exaly
A Systematic Mapping of Quality Models for AI Systems, Software and Components
Applied Sciences (Switzerland), 2022Hazura Zulzalil +2 more
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On allocation of redundant components for systems with dependent components
European Journal of Operational Research, 2013José Ruiz, Félix Belzunce
exaly
Optimum reassignment of degrading components for non-repairable systems
IISE Transactions, 2020Xiaoyan Zhu, Yuqiang Fu, Tao Yuan
exaly
Component Reliability Criticality or Importance Measures for Systems With Degrading Components
IEEE Transactions on Reliability, 2012Qianmei, David W Coit
exaly
Stability analysis for continuous systems with two additive time-varying delay components
Systems and Control Letters, 2007Huijun Gao, James Lam
exaly
Reliability of Systems With Multiple Types of Dependent Components
IEEE Transactions on Reliability, 2016Serkan Eryilmaz
exaly

