Pascal Friederich

Affiliations: 
Karlsruhe Institute of Technology, Germany 
Area:
Machine Learning, Materials Science, Chemistry
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"Pascal Friederich"
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Cross-listing: Materials Tree

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Publications

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Wu J, Torresi L, Hu M, et al. (2024) Inverse design workflow discovers hole-transport materials tailored for perovskite solar cells. Science (New York, N.Y.). 386: 1256-1264
Stier SP, Kreisbeck C, Ihssen H, et al. (2024) Materials Acceleration Platforms (MAPs) Accelerating Materials Research and Development to Meet Urgent Societal Challenges. Advanced Materials (Deerfield Beach, Fla.). e2407791
Nigam A, Pollice R, Friederich P, et al. (2024) Artificial design of organic emitters a genetic algorithm enhanced by a deep neural network. Chemical Science. 15: 2618-2639
Fediai A, Reiser P, Peña JEO, et al. (2023) Accurate GW frontier orbital energies of 134 kilo molecules. Scientific Data. 10: 581
Krasecki VK, Sharma A, Cavell AC, et al. (2023) The Role of Experimental Noise in a Hybrid Classical-Molecular Computer to Solve Combinatorial Optimization Problems. Acs Central Science. 9: 1453-1465
Krenn M, Ai Q, Barthel S, et al. (2022) SELFIES and the future of molecular string representations. Patterns (New York, N.Y.). 3: 100588
Krenn M, Pollice R, Guo SY, et al. (2022) On scientific understanding with artificial intelligence. Nature Reviews. Physics. 1-9
Holst DP, Friederich P, Aspuru-Guzik A, et al. (2022) Updated Calibrated Model for the Prediction of Molecular Frontier Orbital Energies and Its Application to Boron Subphthalocyanines. Journal of Chemical Information and Modeling
Gensch T, Dos Passos Gomes G, Friederich P, et al. (2022) A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis. Journal of the American Chemical Society
Kaiser S, Neumann T, Symalla F, et al. (2021) De Novo Calculation of the Charge Carrier Mobility in Amorphous Small Molecule Organic Semiconductors. Frontiers in Chemistry. 9: 801589
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