Results 11 to 20 of about 919,498 (296)
Decoding the Stability of Transition-Metal Alloys with Theory-infused Deep Learning [PDF]
We introduce an interpretable deep learning framework that predicts the cohesive energy of transition-metal alloys (TMAs) by embedding cohesion theory within graph neural networks (GNNs). Beyond accurate prediction of cohesive energy, a key indicator of thermodynamic stability, the model offers mechanistic insights by disentangling energy contributions
Sanjie Cao, Hongliang Xin
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Quantum Journal of Social Sciences and Humanities, 2022 The education model in the 21st century shall be learner-centered. Learners are expected to be independent to engage in self-directed learning with the integration of technological tools in developing necessary 21st century skills. However, the foundation of this education model shall not be neglected as positive emotion and motivation are the ...
Dennis Chan Paul Leong
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Li$_x$CoO$_2$ phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories [PDF]
, 2021 Li$_xTM$O$_2$ (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability as a function of Li content at the atomistic scale. Here, we use Li$_x$CoO$_2$ (LCO) as a model system to benchmark a scale-bridging framework that combines density ...
Gregory H. Teichert +5 more
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International Journal of Higher Education, 2022 Higher institutions of learning (HIL) occasionally face conflict situations. These range from minor confrontations and demonstrations to violent strikes. The aim of this study was to align theories with conflict management in HIL to avert looming crises that might affect the core businesses of HIL. Given that conflicts are miscellaneous and disputable,
Yusuf Lukman +2 more
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Computational Materials Science, 2020 Abstract The multicomponent Ti alloys, specifically the β -phase, have experienced a strong growth over the last decades, due to their outstanding properties of ultra-high strength and low Young’s modulus. These properties play a significant role in many aerospace and biomedical applications.
Sangqi Xiong +7 more
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Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning [PDF]
25 ...
Ankur Mali +3 more
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Mental models vs cell schemes [PDF]
Investigações em Ensino de Ciências, 2002 Student's mental representations of cell are examined from the perspectives of Johnson-Laird's mental models theory five years after instruction. The observed identity and stability of such representations are then interpreted under the framework of ...
Mª Luz Rodríguez Palmero +1 more
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Stability Theory of Universal Learning Network
IEEJ Transactions on Electronics, Information and Systems, 1996 Kotaro Hirasawa +2 more
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On the stability of two functional equations arising in mathematical biology and theory of learning [PDF]
Creative Mathematics and Informatics, 2019 Aynur Şahin +2 more
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Transient-Stability-Aware Frequency Provision in IBR-Rich Grids via Information Gap Decision Theory and Deep Learning [PDF]
This paper introduces a framework to address the critical loss of transient stability caused by reduced inertia in grids with high inverter-based resource (IBR) penetration. The proposed method integrates a predictive deep learning (DL) model with information gap decision theory (IGDT) to create a risk-averse dispatch strategy.
Amin Masoumi, Mert Korkali
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