Person
Dr. Lucas Foppa
Member since 03/2019
Phone: +49 30 8413 4802
Room: T 1.08
Email: foppa@fhi.mpg.de
RESEARCH TOPICS
RESEARCH GROUP: Ab initio and Artificial Intelligence methods for heterogeneous catalysis
Heterogeneous catalysis
METHODS
- Density functional theory
- Symbolic regression
- Subgroup discovery
2024
Articles
M. Boley, F. Luong, S. Teshuva, D. F. Schmidt, L. Foppa, M. Scheffler,
From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery.
submitted November 27, 2023; https://doi.org/10.48550/arXiv.2311.15549
Preprint Download (2023): arXivL. Foppa, M. Scheffler,
Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials with Exceptional Performance.
submitted for publication November 17, 2023, https://doi.org/10.48550/arXiv.2311.10381
Preprint Download (2023): arXivL. Foppa, M. Scheffler,
Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups.
Submitted for publication March 28, 2024, http://arxiv.org/abs/2403.18437
Preprint Download (2024): arXivR. Miyazaki, K. S. Belthle, H. Tüysüz, L. Foppa, M. Scheffler,
Materials Genes of CO2 Hydrogenation on Supported Cobalt Catalysts: An Artificial Intelligence Approach Integrating Theoretical and Experimental Data.
J. Am. Chem. Soc. 2024, 146, 8, 5433–5444; https://doi.org/10.1021/jacs.3c12984
Download (2024): pdfS. Bauer, P. Benner, T. Bereau, V. Blum, M. Boley, C. Carbogno, C. R. A. Catlow, G. Dehm, S. Eibl, R. Ernstorfer, Á. Fekete, L. Foppa, P. Fratzl, C. Freysoldt, B. Gault, L. M. Ghiringhelli, S. K. Giri, A. Gladyshev, P. Goyal, J. Hattrick-Simpers, L. Kabalan, P. Karpov, M. S. Khorrami, C. Koch, S. Kokott, T. Kosch, I. Kowalec, K. Kremer, A. Leitherer, Y. Li, C. H. Liebscher, A. J. Logsdail, Z. Lu, F. Luong, A. Marek, F. Merz, J. R. Mianroodi, J. Neugebauer, T. A. R. Purcell, D. Raabe, M. Rampp, M. Rossi, J.-M. Rost, U. Saalmann, A. Saxena, L. Sbailo, M. Scheffler, M. Scheidgen, M. Schloz, D. F. Schmidt, S. Teshuva, A. Trunschke, Y. Wei, G. Weikum, R. P. Xian, Y. Yao, M. Zhao,
Roadmap on Data-Centric Materials Science.
submitted to Modelling Simul. Mater. Sci. Eng., January 15, 2024; https://doi.org/10.48550/arXiv.2402.10932
Preprint Download (2024): arXiv
2023
Articles
L. Foppa, F. Rüther, M. Geske, G. Koch, F. Girgsdies, P. Kube, S. J. Carey, M. Hävecker, O. Timpe, A. V. Tarasov, M. Scheffler, F. Rosowski, R. Schlögl, and A. Trunschke,
Data-Centric Heterogeneous Catalysis: Identifying Rules and Materials Genes of Alkane Selective Oxidation.
J. Am. Chem. Soc. 2023, 145, 6, 3427–3442; https://doi.org/10.1021/jacs.2c11117
Download: pdf
2022
Articles
K. S. Belthle, T. Beyazay, C. Ochoa-Hernández, R. Miyazaki, L. Foppa, W. F. Martin, and H. Tüysüz,
Effects of Silica Modification (Mg, Al, Ca, Ti, and Zr) on Supported Cobalt Catalysts for H2-Dependent CO2 Reduction to Metabolic Intermediates.
J. Am. Chem. Soc. 2022, 144, 46, 21232–21243; https://doi.org/10.1021/jacs.2c08845
Download: pdf- L. Foppa, T. A. R. Purcell, S. V. Levchenko, M. Scheffler, and L. M. Ghiringhelli,
Hierarchical symbolic regression for identifying key physical parameters correlated with bulk properties of perovskites .
Physical Review Letters 129, 55301 (2022); https://doi.org/10.1103/PhysRevLett.129.055301
Download: pdf - L. Foppa, C. Sutton, L. M. Ghiringhelli, S. De, P. Löser, S.A. Schunk, A. Schäfer, and M. Scheffler,
Learning design rules for selective oxidation catalysts from high-throughput experimentation and artificial intelligence.
ACS Catalysis 12, 2223 (2022); https://doi.org/10.1021/acscatal.1c04793
Download: ACS Publications
2021
Articles
- L. Foppa, L.M. Ghiringhelli, F. Girgsdies, M. Hashagen, P. Kube, M. Hävecker, S. Carey, A. Tarasov, P. Kraus, F. Rosowski, R. Schlögl, A. Trunschke, and M. Scheffler,
Materials genes of heterogeneous catalysis from clean experiments and artificial intelligence.
MRS Bulletin 46 (2021); https://doi.org/10.1557/s43577-021-00165-6
Download: pdf - L. Foppa and L. M. Ghiringhelli,
Identifying outstanding transition-metal-alloy heterogeneous catalysts for the oxygen reduction and evolution reactions via subgroup discovery.
Topics in Catalysis, published online 02. September 2021; https://doi.org/10.1007/s11244-021-01502-4
Download: pdf
2020
Articles
- A. Trunschke, G. Bellini, M. Boniface, S. J. Carey, J. Dong, E. Erdem, L. Foppa, W. Frandsen, M. Geske, L. M. Ghiringhelli, F. Girgsdies, R. Hanna, M. Hashagen, M. Hävecker, G. Huff, A. Knop-Gericke, G. Koch, P. Kraus, J. Kröhnert, P. Kube, S. Lohr, T. Lunkenbein, L. Masliuk, R. Naumann d’Alnoncourt, T. Omojola, Ch. Pratsch, S. Richter, C. Rohner, F. Rosowski, F. Rüther, M. Scheffler, R. Schlögl, A. Tarasov, D. Teschner, O. Timpe, P. Trunschke, Y. Wang, and S. Wrabetz,
Towards Experimental Handbooks in Catalysis. Topics in Catalysis 63, 1683 (2020); https://doi.org/10.1007/s11244-020-01380-2
Reprint download: pdf
2019
Articles
F. Belviso, V.E.P. Claerbout, A. Comas-Vives, N.S. Dalal, F.-R. Fan, A. Filippetti, V. Fiorentini, L. Foppa, C. Franchini, B. Geisler, L.M. Ghiringhelli, A. Groß, S. Hu, J. Íñiguez, S.K. Kauwe, J.L. Musfeldt, P. Nicolini, R. Pentcheva, T. Polcar, W. Ren, F. Ricci, F. Ricci, H.S. Sen, J.M. Skelton, T.D. Sparks, A. Stroppa, A. Urru, M. Vandichel, P. Vavassori, H. Wu, K. Yang, H.J. Zhao, D. Puggioni, R. Cortese and A. Cammarata,
Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications. Inorganic Chemistry 58 (22), 14939 (2019); https://doi.org/10.1021/acs.inorgchem.9b01785
Reprint download: pdf
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