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Journal of Veterinary Internal Medicine|October 15, 2015
Cognitive Function, Progression of Age-related Behavioral Changes, Biomarkers, and Survival in Dogs More Than 8 Years OldT Schütt, N Toft, M BerendtChemical Science|September 27, 2021
Machine learning of solvent effects on molecular spectra and reactionsMichael Gastegger, Kristof T Schütt, Klaus-Robert MüllerDie Pharmazie|April 4, 2019
Therapeutic approach to chronic venous insufficiency - clinical benefits of red-vine-leaf-extract AS 195 (Antistax<sup>®</sup>)M Stücker, E Rabe, K Meyer, et al.Journal of Veterinary Internal Medicine|May 25, 2013
An observational study with long-term follow-up of canine cognitive dysfunction: clinical characteristics, survival, and risk factorsR Fast, T Schütt, N Toft, et al.The Journal of Chemical Physics|July 9, 2021
Perspective on integrating machine learning into computational chemistry and materials scienceJulia Westermayr, Michael Gastegger, Kristof T Schütt, et al.The Journal of Chemical Physics|August 6, 2020
A deep neural network for molecular wave functions in quasi-atomic minimal basis representationM Gastegger, A McSloy, M Luya, et al.Nature Communications|January 10, 2017
Quantum-chemical insights from deep tensor neural networksKristof T Schütt, Farhad Arbabzadah, Stefan Chmiela, et al.Chemical Science|August 30, 2024
PILOT: equivariant diffusion for pocket-conditioned <i>de novo</i> ligand generation with multi-objective guidance <i>via</i> importance samplingJulian Cremer, Tuan Le, Frank Noé, et al.Nature Communications|November 16, 2019
Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctionsK T Schütt, M Gastegger, A Tkatchenko, et al.The Journal of Chemical Physics|July 2, 2018
SchNet - A deep learning architecture for molecules and materialsK T Schütt, H E Sauceda, P-J Kindermans, et al.Pageof 2