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
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
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 -