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Introduction to Materials Informatics

Published:2023 Issue:13 Volume:4 Page:2695-2697
ISSN:2633-5409
Container-title:Materials Advances
language:en
Short-container-title:Mater. Adv.

Author:

Rajan Krishna¹,Behler Jörg²³,Pickard Chris J.⁴⁵

Affiliation:

1. Department of Materials Design and Innovation, University at Buffalo, Buffalo, NY 14260, USA

2. Lehrstuhl für Theoretische Chemie II, Ruhr-Universität Bochum, 44780 Bochum, Germany

3. Research Center Chemical Sciences and Sustainability, Research Alliance Ruhr, 44780 Bochum, Germany

4. Department of Materials Science & Metallurgy, University of Cambridge, Cambridge, UK

5. Advanced Institute for Materials Research, Tohoku University, Sendai, Japan

Abstract

Krishna Rajan, Jörg Behler and Chris J. Pickard introduce the Materials Advances themed collection on Materials Informatics.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/MA/D3MA90047A

Reference10 articles.

1. H.Schopmans , P.Reiser and P.Friederich , Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms, arXiv , 2023, preprint, arXiv:2303.11699 10.48550/arXiv.2303.11699

2. DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material Composition

3. Combining X-rays, neutrons and electrons, and NMR, for precision and accuracy in structure–function studies

4. Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis

5. Neural Network Potentials: A Concise Overview of Methods

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ordering phenomena in ternary transition‐metal dichalcogenides: Critical role of lattice symmetry and vdW interaction;Materials Genome Engineering Advances;2023-09-13

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