Results 31 to 40 of about 10,388,998 (324)
Introduction to Materials Informatics
Materials Advances, 2023 Krishna Rajan, Jörg Behler and Chris J. Pickard introduce the Materials Advances themed collection on Materials Informatics.
Krishna Rajan +2 more
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Superconductor Discovery in the Emerging Paradigm of Materials Informatics [PDF]
Chemistry of MaterialsThe last two decades have witnessed a tremendous number of computational predictions of hydride-based (phonon-mediated) superconductors, mostly at extremely high pressures, i.e., hundreds of GPa.
Huan Tran +4 more
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A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics [PDF]
Annals of Applied Statistics, 2022 A key task in the emerging field of materials informatics is to use machine learning to predict a material's properties and functions. A fast and accurate predictive model allows researchers to more efficiently identify or construct a material with ...
M. Abba, Jonathan P. Williams, B. Reich
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Frontiers in Nuclear Engineering, 2023 U-Zr metallic fuel is a promising fuel candidate for Gen Ⅳ fast spectrum reactors. Previous experimental irradiation campaigns showed that the sodium thermal bonded U-10Zr fuel design can achieve a burnup of 10% fissions per initial heavy metal atom ...
Tiankai Yao +7 more
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Universal metrics for predicting the activity of a wide range of fuel-cell catalysts
Science and Technology of Advanced Materials: Methods, 2023 The increasing demand for universal metrics in material development, particularly in the context of material informatics (MI), emphasises the need for catalytic activity metrics in fuel-cell research, specifically for the oxygen reduction reaction (ORR).
Ganesan Elumalai, Satoshi Tominaka
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The informatics challenges facing biobanks:a perspective from a United Kingdom biobanking network [PDF]
, 2015 The challenges facing biobanks are changing from simple collections of materials to quality-assured fit-for-purpose clinically annotated samples. As a result, informatics awareness and capabilities of a biobank are now intrinsically related to quality. A
Alastair M Thompson +9 more
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Exploring the relationship between the Engineering and Physical Sciences and the Health and Life Sciences by advanced bibliometric methods [PDF]
, 2014 We investigate the extent to which advances in the health and life sciences (HLS) are dependent on research in the engineering and physical sciences (EPS), particularly physics, chemistry, mathematics, and engineering. The analysis combines two different
Smart, Sue +2 more
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Transfer learning for materials informatics using crystal graph convolutional neural network [PDF]
Computational materials science, 2020 For successful applications of machine learning in materials informatics, it is necessary to overcome the inaccuracy of predictions ascribed to insufficient amount of data. In this study, we propose a transfer learning using a crystal graph convolutional
Joohwi Lee, R. Asahi
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Theempact of information on the architect design [PDF]
Engineering and Technology Journal, 2010 The accelerated evolution of informatics is considered the core aspect ofinformation age. , which had focused on the production of materials, theage of informatics revolution came, which concentrated on production ofideas rather than materials, and those
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Materials Informatics for Process and Material Co-Optimization [PDF]
IEEE Transactions on Semiconductor Manufacturing, 2018 In semiconductor manufacturing, fabrication processes and their materials should be properly co-optimized to achieve required processing results within reasonable development duration and acceptable cost. Unfortunately, it is a very time-consuming procedure, because the number of possible combinations of process/material candidates is very large. Here,
Fumiaki Tanaka +3 more
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