Publications of Lucas Foppa

All genres

Talk (33)

2022

Talk

Foppa, Lucas: Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated With Materials Properties.

(Machine Learning School for Materials @ ILUM, Online Event, Sep 2022).

MPG.PuRe

Talk

Foppa, Lucas: Identifying Materials Genes of Properties and Functions via Artificial Intelligence.

(NOMAD Meeting, Revealing New and Novel Materials, Mechanisms, and Insights (a Perspective), Potsdam, Germany, Oct 2022).

MPG.PuRe

Talk

Foppa, Lucas: Beyond a Single Description in Subgroup Discovery of Exceptional Materials: Coherent Collections of Rules Clustered by Similarity.

(NOMAD Workshop, Data-centric Cruising for New and Novel Materials, Mechanisms, and Insights, Kiel, Germany, Sep 2022).

MPG.PuRe

Talk

Foppa, Lucas: Identifying Materials Genes of Properties and Functions via Artificial Intelligence.

(DPG Meeting of the Condensed Matter Section (SKM) 2022, Regensburg, Germany, Oct 2022).

MPG.PuRe

2021

Talk

Foppa, Lucas: Identifying the Materials Genes of Heterogeneous Catalysis With Clean Experiments and Tailored Artificial Intelligence.

(Colloquium, ETH Zurich, Department of Chemistry and Applied Biosciences, Online Event, Dec 2021).

MPG.PuRe

Mauß, Jonathan M., Klara Sophia Kley, Rohini Khobragade, Nguyen Khang Tran, Jacopo De Bellis, Ferdi Schüth, Matthias Scheffler and Lucas Foppa: Modelling the Time-Dependent Reactivity of Catalysts by Experiments and Artificial Intelligence.

MPG.PuRe

DOI

2024

Working Paper

Behler, Jörg, Gabor Csanyi, Lucas Foppa, Kisung Kang, Marcel F. Langer, Johannes T. Margraf, Akhil Sugathan Nair, Thomas A.R. Purcell, Patrick Rinke, Matthias Scheffler, Alexandre Tkatchenko, Milica Todorovic, Oliver T. Unke and Yi Yao: Workflows for Artificial Intelligence.

MPG.PuRe

DOI

pre-print

Working Paper

Foppa, Lucas and Matthias Scheffler: Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups.

MPG.PuRe

pre-print

Working Paper

Sugathan Nair, Akhil, Lucas Foppa and Matthias Scheffler: Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis.

MPG.PuRe

pre-print

2023

Working Paper

Boley, Mario, Felix Luong, Simon Teshuva, Daniel F. Schmidt, Lucas Foppa and Matthias Scheffler: From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery.

MPG.PuRe

pre-print

Working Paper

Foppa, Lucas and Matthias Scheffler: Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials with Exceptional Performance.

MPG.PuRe

pre-print

Publications of Lucas Foppa

Talk (33)

Working Paper (6)