Research ArticleAPPLIED SCIENCES AND ENGINEERING
Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences
- View ORCID ProfileJinchao Feng1,*,
- View ORCID ProfileJoshua L. Lansford2,*,
- View ORCID ProfileMarkos A. Katsoulakis3,† and
- View ORCID ProfileDionisios G. Vlachos2,4,†
- 1Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA.
- 2Department of Chemical and Biomolecular Engineering, University of Delaware,150 Academy Street, Colburn Laboratory Newark, DE 19716, USA.
- 3Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA 01003, USA.
- 4Catalysis Center for Energy Innovation, University of Delaware, 221 Academy Street, 250R, Newark, DE 19716, USA.
- ↵†Corresponding author. Email: markos{at}math.umass.edu (M.A.K.); vlachos{at}udel.edu (D.G.V.)
↵* These authors contributed equally to this work.
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Science Advances 14 Oct 2020:
Vol. 6, no. 42, eabc3204
DOI: 10.1126/sciadv.abc3204
Vol. 6, no. 42, eabc3204
DOI: 10.1126/sciadv.abc3204
Jinchao Feng
1Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA.
Joshua L. Lansford
2Department of Chemical and Biomolecular Engineering, University of Delaware,150 Academy Street, Colburn Laboratory Newark, DE 19716, USA.
Markos A. Katsoulakis
3Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA 01003, USA.
Dionisios G. Vlachos
2Department of Chemical and Biomolecular Engineering, University of Delaware,150 Academy Street, Colburn Laboratory Newark, DE 19716, USA.
4Catalysis Center for Energy Innovation, University of Delaware, 221 Academy Street, 250R, Newark, DE 19716, USA.
