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 |
|