Kjell Jorner
University of Toronto(CA)ETH Zurich(CH)Institute of Catalysis and Petrochemistry(RU)Bioengineering Center(RU)Bio-Medical Science (South Korea)(KR)University of Bío-Bío(CL)Chalmers University of Technology(SE)
Publications by Year
Research Areas
Machine Learning in Materials Science, Synthesis and Properties of Aromatic Compounds, Computational Drug Discovery Methods, Fullerene Chemistry and Applications, Organic Electronics and Photovoltaics
Most-Cited Works
- → Diindeno-fusion of an anthracene as a design strategy for stable organic biradicals(2016)390 cited
- → A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis(2022)306 cited
- → Organic reactivity from mechanism to machine learning(2021)177 cited
- → Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies(2020)173 cited
- → Energetics of Baird aromaticity supported by inversion of photoexcited chiral [4n]annulene derivatives(2017)113 cited
- → Unraveling factors leading to efficient norbornadiene–quadricyclane molecular solar-thermal energy storage systems(2017)107 cited