Danish Khan - Concepedia

Author

Danish Khan

University of Toronto ORCID

Also Known As

D. Khan, Danish Khan, Khan, Danish

Publications

221

Citations

H-Index

Concepts

All Affiliations

University of Toronto Vector Institute Technische Universität Berlin Berlin Institute for the Foundations of Learning and Data CSCS - Swiss National Supercomputing Centre

About

Danish Khan is an author at University of Toronto specializing in engineering, chemistry, and chemical engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	121
2	Chemistry	3	3	121
3	Chemical Engineering	2	2	102
4	Natural Sciences	1	1	19
5	Data Science	1	1	19

Danish Khan

Publications

180

Citations

H-Index

Page 1

	Year	Citations
AgI/CuWO4 Z-scheme photocatalyst for the degradation of organic pollutants: Experimental and molecular dynamics studies Neha Jatav, Jyoti Kuntail, Danish Khan, Journal of Colloid and Interface Science Chemical EngineeringEngineeringPhotochemistryAgi/cuwo4 Z-scheme PhotocatalystPhotocatalysis	2021	80
Mechanism of phenol and p-nitrophenol adsorption on kaolinite surface in aqueous medium: A molecular dynamics study Danish Khan, Jyoti Kuntail, Indrajit Sinha Journal of Molecular Graphics and Modelling Chemical EngineeringEnvironmental ChemistryEngineeringP-nitrophenol AdsorptionClay Mineral	2022	22
Kernel based quantum machine learning at record rate: Many-body distribution functionals as compact representations Danish Khan, Stefan Heinen, O. Anatole von Lilienfeld The Journal of Chemical Physics EngineeringMachine LearningMany-body Distribution FunctionalsComputational ChemistryChemistry	2023	19
Adapting hybrid density functionals with machine learning Danish Khan, Alastair J. A. Price, Bing Huang, Science Advances	2025	19
Reducing training data needs with minimal multilevel machine learning (M3L) Stefan Heinen, Danish Khan, Guido Falk von Rudorff, Machine Learning Science and Technology	2024	18
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023 Igor Poltavsky, Mirela Puleva, Anton Charkin-Gorbulin, Chemical Science	2025	12
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023 Igor Poltavsky, Anton Charkin-Gorbulin, Mirela Puleva, Chemical Science	2025	10

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