Kevin Tran
Centre National de la Recherche Scientifique(FR)The University of Texas MD Anderson Cancer Center(US)Université Paris Cité(FR)Sorbonne Université(FR)Dalat University(VN)CS Communication & Systèmes (France)(FR)LIP6(FR)Toyota Research InstituteMonash University(AU)University of San Francisco(US)Toyota Industries (United States)(US)Hanoi University of Science and Technology(VN)
Publications by Year
Research Areas
Electrocatalysts for Energy Conversion, Machine Learning in Materials Science, Trace Elements in Health, Iron Metabolism and Disorders, Alzheimer's disease research and treatments
Most-Cited Works
- → Accelerated discovery of CO2 electrocatalysts using active machine learning(2020)1,445 cited
- → Active learning across intermetallics to guide discovery of electrocatalysts for CO2 reduction and H2 evolution(2018)859 cited
- → Open Catalyst 2020 (OC20) Dataset and Community Challenges(2021)668 cited
- → Convolutional Neural Network of Atomic Surface Structures To Predict Binding Energies for High-Throughput Screening of Catalysts(2019)234 cited
- → Toward a Design of Active Oxygen Evolution Catalysts: Insights from Automated Density Functional Theory Calculations and Machine Learning(2019)174 cited
- → Optimized nanosecond pulsed electric field therapy can cause murine malignant melanomas to self‐destruct with a single treatment(2010)138 cited