New insights into hydrogen uptake on porous carbon materials via explainable machine learning MIM Kusdhany, SM Lyth Carbon 179, 190-201, 2021 | 76 | 2021 |
Microporous carbon foams: The effect of nitrogen-doping on CO2 capture and separation via pressure swing adsorption M Vorokhta, MIM Kusdhany, D Vöröš, M Nishihara, K Sasaki, SM Lyth Chemical Engineering Journal 471, 144524, 2023 | 11 | 2023 |
Hydrogen and carbon dioxide uptake on scalable and inexpensive microporous carbon foams MIM Kusdhany, Z Ma, A Mufundirwa, HW Li, K Sasaki, A Hayashi, SM Lyth Microporous and Mesoporous Materials 343, 112141, 2022 | 7 | 2022 |
Tailoring the work function of graphene via defects, nitrogen-doping and hydrogenation: A first principles study N Dimov, A Staykov, MIM Kusdhany, SM Lyth Nanotechnology 34 (41), 415001, 2023 | 2 | 2023 |
Machine learning as a tool for interpreting variables in hydrogen sorption data MIM Kusdhany, SM Lyth 23rd World Hydrogen Energy Conference: Bridging Continents by H2, WHEC 2022 …, 2022 | | 2022 |
Hydrogen Storage on Nanoporous Carbon Foam for Electrochemical Applications MIM Kusdhany, H Li, A Mufundirwa, K Sasaki, A Hayashi, SM Lyth Electrochemical Society Meeting Abstracts prime2020, 1123-1123, 2020 | | 2020 |