Beyond static structures: Putting forth REMD as a tool to solve problems in computational organic chemistry. - Riccardo Petraglia; Adrien Nicolaï; Matthew D. Wodrich; Michele Ceriotti; Clémence Corminboeuf (J. Comput. Chem., 2016)

Physics-based representations for machine learning properties of chemical reactions. - Puck van Gerwen; Alberto Fabrizio; Matthew D. Wodrich; Clémence Corminboeuf (Mach. Learn. Sci. Technol., 2022)

Reply to Comment on 'Physics-based representations for machine learning properties of chemical reactions'. - Puck van Gerwen; Matthew D. Wodrich; Rubén Laplaza; Clémence Corminboeuf (Mach. Learn. Sci. Technol., 2023)

From Organic Fragments to Photoswitchable Catalysts: The OFF-ON Structural Repository for Transferable Kernel-Based Potentials. - Frédéric Célerse; Matthew D. Wodrich; Sergi Vela; Simone Gallarati; Raimon Fabregat; Veronika Jurásková; Clémence Corminboeuf (J. Chem. Inf. Model., 2024)