Computational modeling of grain boundary segregation: A review
Nearly all metals, alloys, ceramics, and their associated composites are polycrystalline in
nature, with grain boundaries that separate well-defined crystalline regions that influence …
nature, with grain boundaries that separate well-defined crystalline regions that influence …
Genetic algorithm-guided deep learning of grain boundary diagrams: addressing the challenge of five degrees of freedom
Grain boundaries (GBs) often control the processing and properties of polycrystalline
materials. Here, potentially transformative research is represented by constructing GB …
materials. Here, potentially transformative research is represented by constructing GB …
Accelerating the development of multi-component Cu-Al-based shape memory alloys with high elastocaloric property by machine learning
XP Zhao, HY Huang, C Wen, YJ Su, P Qian - Computational Materials …, 2020 - Elsevier
Exploring elastocaloric materials with high transformation entropy change (ΔS) is a key
mission for the development of elastocaloric refrigeration technology. Here, we show an …
mission for the development of elastocaloric refrigeration technology. Here, we show an …
Machine learning approaches for ELNES/XANES
T Mizoguchi, S Kiyohara - Microscopy, 2020 - academic.oup.com
Materials characterization is indispensable for materials development. In particular,
spectroscopy provides atomic configuration, chemical bonding and vibrational information …
spectroscopy provides atomic configuration, chemical bonding and vibrational information …
Genetic algorithm assisted multiscale modeling of grain boundary segregation of Al in ZnO and its correlation with nominal dopant concentration
Grain boundary (GB) segregation of Al in ZnO plays an important role in lowering its thermal
conductivity for thermoelectric applications. However, the effect of Al concentration on the …
conductivity for thermoelectric applications. However, the effect of Al concentration on the …
[HTML][HTML] Recent Progress in Nanostructured Functional Materials and Their Applications II
T Yamamoto, M Yoshiya, HN Nhat - Materials Transactions, 2023 - jstage.jst.go.jp
Microstructure of the materials is essential to design new functional materials, especially
from atomic scale to micron order structures. Many attempts have been carried out to give …
from atomic scale to micron order structures. Many attempts have been carried out to give …
Searching the stable segregation configuration at the grain boundary by a Monte Carlo tree search
S Kiyohara, T Mizoguchi - The Journal of chemical physics, 2018 - pubs.aip.org
Non-stoichiometric structure localized at the grain boundary, namely, segregations of
impurities, dopants, and vacancies, has an important effect on a broad variety of material …
impurities, dopants, and vacancies, has an important effect on a broad variety of material …
Energetically-favorable distribution of oxygen vacancies and metal atoms in perovskite BaCexZr0. 85− xY0. 15O2. 925 solid solutions using a genetic algorithm and …
IG Choi, Y Kim, KY Kim, J Jo, SJ Song… - Computational Materials …, 2019 - Elsevier
We studied the energetically-favorable distribution of oxygen vacancies and metal atoms in
perovskite BaCe x Zr 1− x Y 0.15 O 2.925 solid solution structures using a genetic algorithm …
perovskite BaCe x Zr 1− x Y 0.15 O 2.925 solid solution structures using a genetic algorithm …
Autonomous science: big data tools for small data problems in chemistry
Arguably, the greatest opportunities to capitalize on machine learning advances lie at the
interface between data science and measurement science; algorithms can inform the choice …
interface between data science and measurement science; algorithms can inform the choice …
A first-principles and machine learning combined method to investigate the interfacial friction between corrugated graphene
Z Liu, X Zhao, H Wang, Y Ma, L Gao… - … and Simulation in …, 2021 - iopscience.iop.org
Simulating the frictional properties of complex interfaces is computational resource
consuming. In this paper, we propose a density functional theory (DFT) calculation …
consuming. In this paper, we propose a density functional theory (DFT) calculation …