Cargando…
Machine learning in chemistry : the impact of artificial intelligence /
This book provides practical examples of machine learning applied to science to help researchers make an informed choice about using the method in chemistry.
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Royal Society of Chemistry,
2020.
|
| Colección: | Theoretical and computational chemistry ;
17. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | KNOVEL_on1179002329 | ||
| 003 | OCoLC | ||
| 005 | 20231027140348.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 200729s2020 enk ob 001 0 eng d | ||
| 040 | |a UKRSC |b eng |e rda |e pn |c UKRSC |d N$T |d YDX |d EBLCP |d UKAHL |d YDXIT |d UKMGB |d OCLCF |d OCLCQ |d AFU |d MFS |d OCLCO |d AAA |d OCLCO |d OCLCQ |d K6U |d OCLCQ | ||
| 015 | |a GBC085899 |2 bnb | ||
| 016 | 7 | |a 019842780 |2 Uk | |
| 019 | |a 1190850717 | ||
| 020 | |a 9781839160233 |q (electronic book) | ||
| 020 | |a 1839160233 |q (electronic book) | ||
| 020 | |a 9781839160240 |q (electronic book) | ||
| 020 | |a 1839160241 |q (electronic book) | ||
| 020 | |z 9781788017893 | ||
| 020 | |z 1788017897 | ||
| 029 | 1 | |a AU@ |b 000067663984 | |
| 029 | 1 | |a UKMGB |b 019842780 | |
| 029 | 1 | |a AU@ |b 000074000482 | |
| 035 | |a (OCoLC)1179002329 |z (OCoLC)1190850717 | ||
| 037 | |a 5840:5684 |b Royal Society of Chemistry |n http://www.rsc.org/spr | ||
| 050 | 4 | |a QD39.3.E46 |b M33 2020 | |
| 082 | 0 | 4 | |a 542.85631 |2 23 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Machine learning in chemistry : |b the impact of artificial intelligence / |c edited by Hugh M. Cartwright. |
| 264 | 1 | |a London : |b Royal Society of Chemistry, |c 2020. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Theoretical and computational chemistry ; |v 17 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Computers as scientists -- How do machines learn? -- MedChemInformatics: an introduction to machine learning for drug discovery -- Machine learning for nonadiabatic molecular dynamics -- Machine learning in science-a role for mechanic sympathy? -- A prediction of future states: AI-powered chemical innovation for defense applications -- Machine learning for chemical synthesis -- Constraining chemical networks in astrochemistry -- Machine learning at he (nano)materials-biology interface -- Machine learning techniques applied to a complex polymerization process -- machine learning and scoring functions (SFs) for molecular drug discovery: prediction and characterisation of druggable drugs and targets -- Artificial intelligence applied to the prediction of organic materials -- A new era of inorganic materials discovery powered by data science -- Machine learning application sin chemical engineering -- representation learning in chemistry -- Demystifying artificial neural networks as generators of new chemical knowledge: antimalarial drug discovery as a case study -- Machine learning for core-loss spectrum -- Autonomous science: big data tools for small data problems in chemistry -- Machine learning for heterogeneous catalysis: global neural network potential from construction to applications -- A few guiding principles for practical applications of machine learning to chemistry and materials. | |
| 520 | |a This book provides practical examples of machine learning applied to science to help researchers make an informed choice about using the method in chemistry. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on September 24, 2020). | |
| 590 | |a Knovel |b ACADEMIC - Chemistry & Chemical Engineering | ||
| 650 | 0 | |a Chemistry |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 2 | |a Cheminformatics | |
| 650 | 6 | |a Chimio-informatique. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Chemistry |x Data processing |2 fast |0 (OCoLC)fst00853366 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 700 | 1 | |a Cartwright, Hugh M., |d 1948- |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Machine learning in chemistry. |d Cambridge : Royal Society of Chemistry, 2020 |z 9781788017893 |w (OCoLC)1173575313 |
| 830 | 0 | |a Theoretical and computational chemistry ; |v 17. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpMLCTIAI1/toc |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH36936703 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6317305 | ||
| 938 | |a EBSCOhost |b EBSC |n 2577126 | ||
| 938 | |a YBP Library Services |b YANK |n 16907766 | ||
| 994 | |a 92 |b IZTAP | ||