Felix A. Faber

Materials Science · Physical Sciences

11h-index2.2kcitations47works3.32yr avg
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Research Topics

Machine Learning in Materials Science(26), X-ray Diffraction in Crystallography(15), Computational Drug Discovery Methods(14), Social Robot Interaction and HRI(5), Asymmetric Hydrogenation and Catalysis(5)

Publications47 total

Screening 39 billion protostructures for materials discovery
ArXiv.org·2026Open Access
Screening 39 billion protostructures for materials discovery
arXiv (Cornell University)·2026Open Access
171eP Quantitative and qualitative evaluation of an AI-assistance software for PD-L1 TPS assessment in non-small cell lung cancer (NSCLC)
ESMO Real World Data and Digital Oncology·2025Open Access
Gradient-Guided Furthest Point Sampling for Robust Training Set Selection
arXiv (Cornell University)·2025Open Access
Predictive design of crystallographic chiral separation
Nature Communications·2025Open Access
Evaluating accuracy and concordance of pathologists and the utility of AI assistance software for digital HER2 IHC assessment in breast cancer including HER2-ultralow scoring: An international multicenter observational study.
Journal of Clinical Oncology·2025· 1 cited
Augmented reality microscopy to bridge trust between AI and pathologists
npj Precision Oncology·2025· 2 citedOpen Access
Identifying crystal structures beyond known prototypes from x-ray powder diffraction spectra
Physical Review Materials·2024· 5 citedOpen Access
A multi-modal artificial intelligence model trained on H&E tissue images and clinical patient data for prediction of BRAF mutations in colorectal cancer.
Journal of Clinical Oncology·2024
Predictive Minisci late stage functionalization with transfer learning
Nature Communications·2024· 25 citedOpen Access
Equivariant Matrix Function Neural Networks
arXiv (Cornell University)·2023· 3 citedOpen Access
Identifying Crystal Structures Beyond Known Prototypes from X-ray Powder Diffraction Spectra
arXiv (Cornell University)·2023Open Access
Predictive Minisci and P450 Late Stage Functionalization with Transfer Learning
2023· 2 citedOpen Access
Comparison of Maximal End Component Decomposition Algorithms: Data and Code
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Comparison of Maximal End Component Decomposition Algorithms: Data and Code
2023· 1 citedOpen Access
Predictive Minisci and P450 Late Stage Functionalization with Transfer Learning
Research Square (Research Square)·2023Open Access
Predictive Minisci and P450 Late Stage Functionalization with Transfer Learning
2023· 3 citedOpen Access
Predictive Minisci and P450 Late Stage Functionalization with Transfer Learning
2022· 4 citedOpen Access
GPU-accelerated approximate kernel method for quantum machine learning
The Journal of Chemical Physics·2022Open Access
Rapid discovery of stable materials by coordinate-free coarse graining
Science Advances·2022· 48 citedOpen Access
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Frequent Co-authors

Rickard Armiento(16), O. Anatole von Lilienfeld(12), Alpha A. Lee(11), Abhijith S. Parackal(9), Alexander Lindmaa(7), Rhys E. A. Goodall(7), Emma King‐Smith(6), Qingyi Yang(6), Maren Bennewitz(5), Dominik Joho(5), Sven Behnke(5), Usa Reilly(5), Anton V. Sinitskiy(5), Бо Лю(5), Dennis Hyek(5), Anders S. Christensen(4), Anatole von Lilienfeld(4), Michael Schreiber(3), Tobias Lang(3), Patrick Frey(3)