Literature DB >> 27292550

Materials informatics: a journey towards material design and synthesis.

Keisuke Takahashi1, Yuzuru Tanaka2.   

Abstract

Materials informatics has been gaining popularity with the rapid development of computational materials science. However, collaborations between information science and materials science have not yet reached the success. There are several issues which need to be overcome in order to establish the field of materials informatics. Construction of material big data, implementation of machine learning, and platform design for materials discovery are discussed with potential solutions.

Year:  2016        PMID: 27292550     DOI: 10.1039/c6dt01501h

Source DB:  PubMed          Journal:  Dalton Trans        ISSN: 1477-9226            Impact factor:   4.390


  8 in total

1.  Data Mining for Parameters Affecting Polymorph Selection in Contorted Hexabenzocoronene Derivatives.

Authors:  Anna M Hiszpanski; Carmeline J Dsilva; Ioannis G Kevrekidis; Yueh-Lin Loo
Journal:  Chem Mater       Date:  2018-04-23       Impact factor: 9.811

2.  Descriptors for predicting the lattice constant of body centered cubic crystal.

Authors:  Keisuke Takahashi; Lauren Takahashi; Jakub D Baran; Yuzuru Tanaka
Journal:  J Chem Phys       Date:  2017-05-28       Impact factor: 3.488

3.  Designing transformer oil immersion cooling servers for machine learning and first principle calculations.

Authors:  Keisuke Takahashi; Itsuki Miyazato; Satoshi Maeda; Lauren Takahashi
Journal:  PLoS One       Date:  2022-05-17       Impact factor: 3.752

Review 4.  Molecular Modeling in Anion Exchange Membrane Research: A Brief Review of Recent Applications.

Authors:  Mirat Karibayev; Sandugash Kalybekkyzy; Yanwei Wang; Almagul Mentbayeva
Journal:  Molecules       Date:  2022-06-02       Impact factor: 4.927

5.  RANdom SAmple Consensus (RANSAC) algorithm for material-informatics: application to photovoltaic solar cells.

Authors:  Omer Kaspi; Abraham Yosipof; Hanoch Senderowitz
Journal:  J Cheminform       Date:  2017-06-06       Impact factor: 5.514

Review 6.  Data-Driven Materials Science: Status, Challenges, and Perspectives.

Authors:  Lauri Himanen; Amber Geurts; Adam Stuart Foster; Patrick Rinke
Journal:  Adv Sci (Weinh)       Date:  2019-09-01       Impact factor: 16.806

Review 7.  Evaluation-oriented exploration of photo energy conversion systems: from fundamental optoelectronics and material screening to the combination with data science.

Authors:  Akinori Saeki
Journal:  Polym J       Date:  2020-08-28       Impact factor: 3.080

Review 8.  Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors.

Authors:  Ze Yang; Wang Gao
Journal:  Adv Sci (Weinh)       Date:  2022-03-01       Impact factor: 17.521

  8 in total

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