Literature DB >> 22442457

Computational science. Materials scientists look to a data-intensive future.

Robert F Service.   

Abstract

Year:  2012        PMID： 22442457     DOI： 10.1126/science.335.6075.1434

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  4 in total

1.  Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches.

Authors:  Shikha Gupta; Nikita Basant; Premanjali Rai; Kunwar P Singh
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-11       Impact factor: 4.223

Review 2.  Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology.

Authors:  Farit M Afendi; Naoaki Ono; Yukiko Nakamura; Kensuke Nakamura; Latifah K Darusman; Nelson Kibinge; Aki Hirai Morita; Ken Tanaka; Hisayuki Horai; Md Altaf-Ul-Amin; Shigehiko Kanaya
Journal:  Comput Struct Biotechnol J       Date:  2013-03-23       Impact factor: 7.271

3.  Machine learning bandgaps of double perovskites.

Authors:  G Pilania; A Mannodi-Kanakkithodi; B P Uberuaga; R Ramprasad; J E Gubernatis; T Lookman
Journal:  Sci Rep       Date:  2016-01-19       Impact factor: 4.379

4.  Now Is the Time to Build a National Data Ecosystem for Materials Science and Chemistry Research Data.

Authors:  Eva M Campo; Sadasivan Shankar; Alexander S Szalay; Robert J Hanisch
Journal:  ACS Omega       Date:  2022-04-13
  4 in total

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