Florian Häse

University of Toronto — Canada

Materials Science · Physical Sciences

21h-index4.3kcitations59works0.02yr avg
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Research Topics

Machine Learning in Materials Science(26), Innovative Microfluidic and Catalytic Techniques Innovation(17), Computational Drug Discovery Methods(13), Spectroscopy and Quantum Chemical Studies(8), Process Optimization and Integration(7)

Publications59 total

Machine learning models to accelerate the design of polymeric long-acting injectables
Nature Communications·2023· 182 citedOpen Access
Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
On scientific understanding with artificial intelligence
Nature Reviews Physics·2022· 324 citedOpen Access
Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables
2022· 1 citedOpen Access
Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables
Research Square (Research Square)·2022· 12 citedOpen Access
Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables
2022· 6 citedOpen Access
On scientific understanding with artificial intelligence
arXiv (Cornell University)·2022· 13 citedOpen Access
Bayesian optimization with known experimental and design constraints for chemistry applications
arXiv (Cornell University)·2022· 7 citedOpen Access
Bayesian optimization with known experimental and design constraints for chemistry applications
Digital Discovery·2022· 82 citedOpen Access
Machine Learning Predictions of Drug Release from Polymeric Long Acting Injectables
2021· 3 citedOpen Access
Machine Learning Predictions of Drug Release from Polymeric Long Acting Injectables
2021· 2 citedOpen Access
Data-science driven autonomous process optimization
Communications Chemistry·2021· 223 citedOpen Access
Machine-learned potentials for next-generation matter simulations
Nature Materials·2021· 531 citedOpen Access
Machine learning directed drug formulation development
Advanced Drug Delivery Reviews·2021· 271 cited
Automated design of superconducting circuits and its application to 4-local couplers
npj Quantum Information·2021· 30 citedOpen Access
Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulation
arXiv (Cornell University)·2021· 1 citedOpen Access
Golem: an algorithm for robust experiment and process optimization
Chemical Science·2021· 3 citedOpen Access
Data-Science Driven Autonomous Process Optimization
2020· 3 citedOpen Access
Data-science driven autonomous process optimization
2020· 10 citedOpen Access
Data-science driven autonomous process optimization
2020· 2 citedOpen Access
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Frequent Co-authors

Alán Aspuru‐Guzik(45), Loı̈c M. Roch(24), Matteo Aldeghi(12), Lars P. E. Yunker(10), Jason E. Hein(10), Christoph Kreisbeck(9), Pascal Friederich(8), Riley J. Hickman(8), Gabriel dos Passos Gomes(7), Pauric Bannigan(7), Zeqing Bao(7), Christine Allen(7), Teresa Tamayo-Mendoza(6), Melodie Christensen(5), Folarin Adedeji(5), Tobias Gensch(5), Tara Zepel(5), Matthew S. Sigman(5), Mario Krenn(4), AkshatKumar Nigam(4)