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dc.contributor.author | Baskin I. | |
dc.contributor.author | Madzhidov T. | |
dc.contributor.author | Antipin I. | |
dc.contributor.author | Varnek A. | |
dc.date.accessioned | 2018-04-05T07:09:09Z | |
dc.date.available | 2018-04-05T07:09:09Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0036-021X | |
dc.identifier.uri | http://dspace.kpfu.ru/xmlui/handle/net/129557 | |
dc.description.abstract | The review is devoted to the achievements in analysis of information on chemical reactions using machine learning methods. Four large areas that actively use these methods are outlined: computer-assisted planning of synthesis, analysis and visualization of chemical reaction data, prediction of the quantitative characteristics of reactions and computer-aided design of catalysts. | |
dc.relation.ispartofseries | Russian Chemical Reviews | |
dc.title | Artificial intelligence in synthetic chemistry: Achievements and prospects | |
dc.type | Review | |
dc.relation.ispartofseries-issue | 11 | |
dc.relation.ispartofseries-volume | 86 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 1127 | |
dc.source.id | SCOPUS0036021X-2017-86-11-SID85039042492 |