Chemical education in digital chemistry

Fun Man Fung; Magdalena Lederbauer; Yvonne Shuen Lann Choo; Timo Gehring; Kevin Maik Jablonka; Kjell Jorner; Philippe Schwaller; Michael B. Sullivan; Andrea Volkamer; Matthew S. Sigman; Kuangbiao Liao; Charles Windle

doi:10.1016/j.chempr.2024.10.010

Chemical education in digital chemistry

Fun Man Fung
, Magdalena Lederbauer
, Yvonne Shuen Lann Choo
, Timo Gehring
, Kevin Maik Jablonka
, Kjell Jorner
, Philippe Schwaller
, Michael B. Sullivan
, Andrea Volkamer
, Matthew S. Sigman
, Kuangbiao Liao
, Charles Windle

Department of Chemistry

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

4 Citations (Scopus)

Abstract

In this digital age where machine learning has won the Nobel Prizes in both Physics and Chemistry, it is ever more important to give chemistry students an educational advantage that will enable them to use the tools of artificial intelligence and machine learning to enhance both their study experience and their future research. In this Voices article, chemistry education and research experts gather to share their implementation and utilization of these data-driven tools in classes and in labs.

Original language	English
Pages (from-to)	3519-3525
Number of pages	7
Journal	Chem
Volume	10
Issue number	12
DOIs	https://doi.org/10.1016/j.chempr.2024.10.010
Publication status	Published - 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.2024.10.010

Cite this

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title = "Chemical education in digital chemistry",

abstract = "In this digital age where machine learning has won the Nobel Prizes in both Physics and Chemistry, it is ever more important to give chemistry students an educational advantage that will enable them to use the tools of artificial intelligence and machine learning to enhance both their study experience and their future research. In this Voices article, chemistry education and research experts gather to share their implementation and utilization of these data-driven tools in classes and in labs.",

author = "Fung, \{Fun Man\} and Magdalena Lederbauer and Choo, \{Yvonne Shuen Lann\} and Timo Gehring and Jablonka, \{Kevin Maik\} and Kjell Jorner and Philippe Schwaller and Sullivan, \{Michael B.\} and Andrea Volkamer and Sigman, \{Matthew S.\} and Kuangbiao Liao and Charles Windle",

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

year = "2024",

doi = "10.1016/j.chempr.2024.10.010",

language = "English",

volume = "10",

pages = "3519--3525",

journal = "Chem",

issn = "2451-9308",

publisher = "Elsevier Inc.",

number = "12",

}

TY - JOUR

T1 - Chemical education in digital chemistry

AU - Fung, Fun Man

AU - Lederbauer, Magdalena

AU - Choo, Yvonne Shuen Lann

AU - Gehring, Timo

AU - Jablonka, Kevin Maik

AU - Jorner, Kjell

AU - Schwaller, Philippe

AU - Sullivan, Michael B.

AU - Volkamer, Andrea

AU - Sigman, Matthew S.

AU - Liao, Kuangbiao

AU - Windle, Charles

PY - 2024

Y1 - 2024

N2 - In this digital age where machine learning has won the Nobel Prizes in both Physics and Chemistry, it is ever more important to give chemistry students an educational advantage that will enable them to use the tools of artificial intelligence and machine learning to enhance both their study experience and their future research. In this Voices article, chemistry education and research experts gather to share their implementation and utilization of these data-driven tools in classes and in labs.

AB - In this digital age where machine learning has won the Nobel Prizes in both Physics and Chemistry, it is ever more important to give chemistry students an educational advantage that will enable them to use the tools of artificial intelligence and machine learning to enhance both their study experience and their future research. In this Voices article, chemistry education and research experts gather to share their implementation and utilization of these data-driven tools in classes and in labs.

UR - https://www.scopus.com/pages/publications/85211132647

UR - https://www.scopus.com/pages/publications/85211132647#tab=citedBy

U2 - 10.1016/j.chempr.2024.10.010

DO - 10.1016/j.chempr.2024.10.010

M3 - Comment/debate

AN - SCOPUS:85211132647

SN - 2451-9308

VL - 10

SP - 3519

EP - 3525

JO - Chem

JF - Chem

IS - 12

ER -

Chemical education in digital chemistry

Abstract

ASJC Scopus subject areas

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