How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery

Bibliographic Details
Main Authors: Amol Thakkar, Philippe Schwaller
Format: Article
Language:deu
Published: Swiss Chemical Society 2021-08-01
Series:CHIMIA
Subjects:
Online Access:https://www.chimia.ch/chimia/article/view/716
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author Amol Thakkar
Philippe Schwaller
author_facet Amol Thakkar
Philippe Schwaller
author_sort Amol Thakkar
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format Article
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institution Directory Open Access Journal
issn 0009-4293
2673-2424
language deu
last_indexed 2024-12-24T00:12:27Z
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publisher Swiss Chemical Society
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spelling doaj.art-52b208e06932407c872f217e95fe0fc32022-12-21T17:24:51ZdeuSwiss Chemical SocietyCHIMIA0009-42932673-24242021-08-01757-810.2533/chimia.2021.677How AI for Synthesis Can Help Tackle Challenges in Molecular DiscoveryAmol Thakkar0Philippe Schwaller1Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of BernIBM Research − Zurich, CH-8803 Rüschlikon, Switzerlandhttps://www.chimia.ch/chimia/article/view/716Artificial intelligenceMachine learningReaction predictionRetrosynthesis
spellingShingle Amol Thakkar
Philippe Schwaller
How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery
CHIMIA
Artificial intelligence
Machine learning
Reaction prediction
Retrosynthesis
title How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery
title_full How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery
title_fullStr How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery
title_full_unstemmed How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery
title_short How AI for Synthesis Can Help Tackle Challenges in Molecular Discovery
title_sort how ai for synthesis can help tackle challenges in molecular discovery
topic Artificial intelligence
Machine learning
Reaction prediction
Retrosynthesis
url https://www.chimia.ch/chimia/article/view/716
work_keys_str_mv AT amolthakkar howaiforsynthesiscanhelptacklechallengesinmoleculardiscovery
AT philippeschwaller howaiforsynthesiscanhelptacklechallengesinmoleculardiscovery