{"title":"数据库如何帮助预测化合物？","authors":"J Christian Schön","doi":"10.1002/zaac.201400374","DOIUrl":null,"url":null,"abstract":"<p><p>An overview is given on the ways databases can be employed to aid in the prediction of chemical compounds, in particular inorganic crystalline compounds. Methods currently employed and possible future approaches are discussed.</p>","PeriodicalId":54398,"journal":{"name":"Zeitschrift fur Anorganische und Allgemeine Chemie","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/67/20/zaac0640-2717.PMC4502966.pdf","citationCount":"0","resultStr":"{\"title\":\"How can Databases assist with the Prediction of Chemical Compounds?\",\"authors\":\"J Christian Schön\",\"doi\":\"10.1002/zaac.201400374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>An overview is given on the ways databases can be employed to aid in the prediction of chemical compounds, in particular inorganic crystalline compounds. Methods currently employed and possible future approaches are discussed.</p>\",\"PeriodicalId\":54398,\"journal\":{\"name\":\"Zeitschrift fur Anorganische und Allgemeine Chemie\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/67/20/zaac0640-2717.PMC4502966.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zeitschrift fur Anorganische und Allgemeine Chemie\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1002/zaac.201400374\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2014/9/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, INORGANIC & NUCLEAR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift fur Anorganische und Allgemeine Chemie","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1002/zaac.201400374","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/9/24 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CHEMISTRY, INORGANIC & NUCLEAR","Score":null,"Total":0}
How can Databases assist with the Prediction of Chemical Compounds?
An overview is given on the ways databases can be employed to aid in the prediction of chemical compounds, in particular inorganic crystalline compounds. Methods currently employed and possible future approaches are discussed.
期刊介绍：
ZAAC is an international scientific journal which publishes original papers on new relevant research results from all areas of inorganic chemistry, solid state chemistry, and co-ordination chemistry.
The contributions reflect the latest findings in these research areas and serve the development of new materials, such as super-hard materials, electrical superconductors, or intermetallic compounds. Up-to-date physical methods for the characterization of new chemical compounds and materials are also described.
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