Toward data-science-guided prediction of enantiomeric excess in amines—A workflow method

Pavel Anzenbacher; Sandra M. George; Austin R. Sartori

doi:10.1016/j.chempr.2024.06.032

Toward data-science-guided prediction of enantiomeric excess in amines—A workflow method

Pavel Anzenbacher, Sandra M. George, Austin R. Sartori

Department of Chemistry

Bowling Green State University

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English
Pages (from-to)	2345-2348
Number of pages	4
Journal	Chem
Volume	10
Issue number	8
DOIs	https://doi.org/10.1016/j.chempr.2024.06.032
State	Published - Aug 8 2024

ASJC Scopus Subject Areas

General Chemistry
Biochemistry
Environmental Chemistry
General Chemical Engineering
Biochemistry, medical
Materials Chemistry

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10.1016/j.chempr.2024.06.032

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title = "Toward data-science-guided prediction of enantiomeric excess in amines—A workflow method",

author = "Pavel Anzenbacher and George, \{Sandra M.\} and Sartori, \{Austin R.\}",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Inc.",

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doi = "10.1016/j.chempr.2024.06.032",

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T1 - Toward data-science-guided prediction of enantiomeric excess in amines—A workflow method

AU - Anzenbacher, Pavel

AU - George, Sandra M.

AU - Sartori, Austin R.

PY - 2024/8/8

Y1 - 2024/8/8

UR - https://www.scopus.com/pages/publications/85198542049

U2 - 10.1016/j.chempr.2024.06.032

DO - 10.1016/j.chempr.2024.06.032

M3 - Comment/debate

AN - SCOPUS:85198542049

SN - 2451-9308

VL - 10

SP - 2345

EP - 2348

JO - Chem

JF - Chem

IS - 8

ER -

Toward data-science-guided prediction of enantiomeric excess in amines—A workflow method

ASJC Scopus Subject Areas

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