Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach†

  1. Tsutsui, Yuya ORCID logo
  2. Yanaka, Issei
  3. takeda, kazuhiro ORCID logo
  4. Kondo, Masaru ORCID logo
  5. Takizawa, Shinobu ORCID logo
  6. Kojima, Ryosuke ORCID logo
  7. Konishi, Akihito ORCID logo
  8. Yasuda, Makoto ORCID logo

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WeightNameValue
1000 Titel
  • Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach†
1000 Autor/in
  1. Tsutsui, Yuya |
  2. Yanaka, Issei |
  3. takeda, kazuhiro |
  4. Kondo, Masaru |
  5. Takizawa, Shinobu |
  6. Kojima, Ryosuke |
  7. Konishi, Akihito |
  8. Yasuda, Makoto |
1000 Verlag
  • The Royal Society of Chemistry
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-05
1000 Erschienen in
1000 Quellenangabe
  • 22(21):4283-4291
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1039/d4ob00408f |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:p>Exploration of a Lewis acid with high selectivity for hydrocarbon moieties is assisted by a machine learning approach. Molecular polarizability is an essential factor, leading to design guidelines for Lewis acid catalysts with dispersion forces.</jats:p>
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-9220-4857|https://frl.publisso.de/adhoc/uri/WWFuYWthLCBJc3NlaQ==|https://orcid.org/0009-0001-2237-4359|https://orcid.org/0000-0001-6299-5718|https://orcid.org/0000-0002-9668-1888|https://orcid.org/0000-0003-1095-8864|https://orcid.org/0000-0002-3438-786X|https://orcid.org/0000-0002-6618-2893
1000 Hinweis
  • DeepGreen-ID: 80cdbb3703954e10afba02bc60ada061 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Ministry of Education, Culture, Sports, Science and Technology |
  2. Core Research for Evolutional Science and Technology |
  3. Japan Society for the Promotion of Science |
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1000 Förderprogramm
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1000 Dateien
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    1000 Förderer Ministry of Education, Culture, Sports, Science and Technology |
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  2. 1000 joinedFunding-child
    1000 Förderer Core Research for Evolutional Science and Technology |
    1000 Förderprogramm -
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    1000 Förderer Japan Society for the Promotion of Science |
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1000 Objektart article
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1000 @id frl:6486286.rdf
1000 Erstellt am 2024-10-03T00:55:51.420+0200
1000 Erstellt von 322
1000 beschreibt frl:6486286
1000 Zuletzt bearbeitet 2024-10-04T16:45:16.517+0200
1000 Objekt bearb. Fri Oct 04 16:45:16 CEST 2024
1000 Vgl. frl:6486286
1000 Oai Id
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