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Pascal Friederich — most-cited papers & profile · AI for Science
← authors
·
overview
Pascal Friederich
22
papers ·
1924
citations ·
37
h-index
Karlsruhe Institute of Technology · Kerntechnische Entsorgung Karlsruhe (Germany) · Institute of Nanotechnology
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Most-cited papers
Graph neural networks for materials science and chemistry
2022 · 746 citations
SELFIES and the future of molecular string representations
2022 · 267 citations
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
2019 · 95 citations
Accurate GW frontier orbital energies of 134 kilo molecules
2023 · 22 citations
On scientific understanding with artificial intelligence
2022 · 13 citations
Connectivity Optimized Nested Graph Networks for Crystal Structures
2023 · 9 citations
Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms
2023 · 7 citations
From absorption spectra to charge transfer in PEDOT nanoaggregates with machine learning
2019 · 4 citations
Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
2023 · 2 citations
Temperature-Annealed Boltzmann Generators
2025 · 1 citations
Global Concept Explanations for Graphs by Contrastive Learning
2024 · 1 citations
Synergistic approach to probing the dynamics and mechanics of patchy soft matter
2026
Learning Boltzmann Generators via Constrained Mass Transport
2025
Learning Potential Energy Surfaces of Hydrogen Atom Transfer Reactions in Peptides
2025
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
2025
Top co-authors
Patrick Reiser
· 6
Henrik Schopmans
· 5
AkshatKumar Nigam
· 3
Al\'an Aspuru-Guzik
· 3
Jonas Teufel
· 3
Mario Krenn
· 3
Marlen Neubert
· 3
Florian H\"ase
· 2
Robert Pollice
· 2
Adamo Young
· 1
Adrián Jinich
· 1
Alba Cervera-Lierta
· 1
Topics
Chemistry
Materials
Physics ML
Drug Discovery
Protein Science
Medical AI