Publications of Lucas Foppa

Talk (33)

2022
Talk
MPG.PuRe
Talk
MPG.PuRe
Talk
MPG.PuRe
Talk
MPG.PuRe
Talk
MPG.PuRe
2021
Talk
MPG.PuRe

Working Paper (6)

2025
Working Paper
J.M. Mauß, K.S. Kley, R. Khobragade, N.K. Tran, J. De Bellis, F. Schüth, M. Scheffler and L. Foppa: Modelling the Time-Dependent Reactivity of Catalysts by Experiments and Artificial Intelligence., in press.
MPG.PuRe
DOI
2024
Working Paper
A. Sugathan Nair, L. Foppa and M. Scheffler: Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis., in press.
MPG.PuRe
pre-print
Working Paper
J. Behler, G. Csanyi, L. Foppa, K. Kang, M.F. Langer, J.T. Margraf, A. Sugathan Nair, T.A.R. Purcell, P. Rinke, M. Scheffler, A. Tkatchenko, M. Todorovic, O.T. Unke and Y. Yao: Workflows for Artificial Intelligence., in press.
MPG.PuRe
DOI
pre-print
Working Paper
L. Foppa and M. Scheffler: Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups., in press.
MPG.PuRe
pre-print
2023
Working Paper
M. Boley, F. Luong, S. Teshuva, D.F. Schmidt, L. Foppa and M. Scheffler: From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery., in press.
MPG.PuRe
pre-print
Working Paper
L. Foppa and M. Scheffler: Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials with Exceptional Performance., in press.
MPG.PuRe
pre-print
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