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Titlebook: Hyperordered Structures in Materials; Disorder in Order an Koichi Hayashi Book 2024 Materials Research Society, under exclusive license to

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Machine Learningtion energies and the forces of atoms in material structures, are introduced. Once machine learning potentials are constructed using training datasets obtained from theoretical computation based on quantum mechanics, they can predict materials properties related to atom dynamics with much lighter co
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Dielectric Materials with Hyperordered Structuresrelaxors. Although individual investigations are still underway, there seems to be something beyond imperfection underlying the design of high-permittivity dielectrics, namely “hyperordered structures” (HOSs). Section . provides an overview of the fundamentals of dielectric materials. Then, Sect. .
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Hyperordered Structures in Microporous Frameworks in ZeolitesUV–Vis spectroscopy, to correctly understand the hyperordered structures related to Al atoms of zeolites are also reviewed. Particularly, silanol groups contained in zeolite frameworks can be also considered as hyperordered structures to determine their features such as hydrothermal stability and pr
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s of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process,
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Ayako Nakata,Yoshitada Morikawas of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process,
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Motoki Shiga,Ippei Obayashis of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process,
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