Results 11 to 20 of about 786,949 (131)

A combined machine learning and density functional theory study of binary Ti-Nb and Ti-Zr alloys: Stability and Young’s modulus

open access: bronzeComputational 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
openalex   +4 more sources

Density Functional Theory and Machine Learning‐Based Analyses for Improved Surface Stability of a BaTiO3‐Coated LiCoO2 Positive Electrode Material

open access: hybridphysica status solidi (b), 2021
The application of oxide coating on the surfaces of active cathode materials is an effective method for improving the electrochemical durability of lithium‐ion batteries because it suppresses oxygen gas release from the surface of the cathode material. This report summarizes a study conducted on verifying the suppression of oxygen release from a LiCoO2
Kunihiro Ishida   +5 more
openalex   +2 more sources

EMOTIONAL STABILITY AND MOTIVATION OF 21ST CENTURY LEARNERS: A COMPARATIVE REVIEW OF LEARNING THEORIES

open access: hybridQuantum 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
openalex   +3 more sources

Li$_x$CoO$_2$ phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories

open access: green, 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
openalex   +4 more sources

Research on Power System Transient Stability Assessment Based on Statistical Learning Theory [PDF]

open access: goldProceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering, 2016
Wanyu Xu
openalex   +4 more sources

Mental models vs cell schemes [PDF]

open access: yesInvestigações 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
doaj   +3 more sources

On the stability of two functional equations arising in mathematical biology and theory of learning [PDF]

open access: bronzeCreative Mathematics and Informatics, 2019
Aynur Şahin   +2 more
openalex   +2 more sources

Stability Theory of Universal Learning Network

open access: bronzeIEEJ Transactions on Electronics, Information and Systems, 1996
Kotaro Hirasawa   +2 more
openalex   +4 more sources

Stability and NMR Chemical Shift of Amorphous Precursors of Methane Hydrate: Insights from Dispersion-Corrected Density Functional Theory Calculations Combined with Machine Learning

open access: closedThe Journal of Physical Chemistry B, 2020
Clathrate hydrates of natural gases are important backup energy sources. It is thus of great significance to explore the nucleation process of hydrates. Hydrate clusters are building blocks of crystalline hydrates and represent the initial stage of hydrate nucleation.
Keyao Li   +5 more
openalex   +5 more sources

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