Machine Learning Approach to Analyze the Surface Properties of Biological Materials.

Autor: Rickert CA; Department of Mechanical Engineering and Munich School of Bioengineering, Technical University of Munich, Boltzmannstrasse 15, 85748, Garching b. München, Germany.; Center for Functional Protein Assemblies (CPA), Technical University of Munich, Ernst-Otto-Fischer Straße 8, 85748, Garching b. München, Germany., Hayta EN; Department of Mechanical Engineering and Munich School of Bioengineering, Technical University of Munich, Boltzmannstrasse 15, 85748, Garching b. München, Germany.; Center for Functional Protein Assemblies (CPA), Technical University of Munich, Ernst-Otto-Fischer Straße 8, 85748, Garching b. München, Germany., Selle DM; Department of Mechanical Engineering and Munich School of Bioengineering, Technical University of Munich, Boltzmannstrasse 15, 85748, Garching b. München, Germany.; Center for Functional Protein Assemblies (CPA), Technical University of Munich, Ernst-Otto-Fischer Straße 8, 85748, Garching b. München, Germany., Kouroudis I; Department of Electrical and Computer Engineering, Technical University of Munich, Karlstrasse 45, 80333, München, Germany., Harth M; Department of Electrical and Computer Engineering, Technical University of Munich, Karlstrasse 45, 80333, München, Germany., Gagliardi A; Department of Electrical and Computer Engineering, Technical University of Munich, Karlstrasse 45, 80333, München, Germany., Lieleg O; Department of Mechanical Engineering and Munich School of Bioengineering, Technical University of Munich, Boltzmannstrasse 15, 85748, Garching b. München, Germany.; Center for Functional Protein Assemblies (CPA), Technical University of Munich, Ernst-Otto-Fischer Straße 8, 85748, Garching b. München, Germany.

Publikováno v: ACS biomaterials science & engineering [ACS Biomater Sci Eng] 2021 Sep 13; Vol. 7 (9), pp. 4614-4625. Date of Electronic Publication: 2021 Aug 20.