Florian Häse (Alán Aspuru-Guzik, F Häse)

Scopus Author ID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Molecular Dynamics Simulations

Top Venues

Chemical science

Nature communications

Science advances

Nature materials

This page only lists publications with an associated author ORCID identifier.

Publications

Pauric Bannigan, Zeqing Bao, Riley J Hickman, Matteo Aldeghi, Florian Häse, Alán Aspuru-Guzik, Christine Allen
Machine learning models to accelerate the design of polymeric long-acting injectables. Nature communications 14 (1) (2023)
Pauric Bannigan, Zeqing Bao, Riley J Hickman, Matteo Aldeghi, Florian Häse, Alán Aspuru-Guzik, Christine Allen
Machine learning models to accelerate the design of polymeric long-acting injectables. Nature communications 14 (1) (2023)
Pauric Bannigan, Zeqing Bao, Riley J Hickman, Matteo Aldeghi, Florian Häse, Alán Aspuru-Guzik, Christine Allen
Machine learning models to accelerate the design of polymeric long-acting injectables. Nature communications 14 (1) (2023)
Pauric Bannigan, Zeqing Bao, Riley J Hickman, Matteo Aldeghi, Florian Häse, Alán Aspuru-Guzik, Christine Allen
Machine learning models to accelerate the design of polymeric long-acting injectables. Nature communications 14 (1) (2023)
Jakob S Kottmann, Abhinav Anand, Florian Häse
A feasible approach for automatically differentiable unitary coupled-cluster on quantum computers. Chemical science 12 (10) (2021)
Matteo Aldeghi, Florian Häse, Riley J Hickman, Isaac Tamblyn, Alán Aspuru-Guzik
Golem: an algorithm for robust experiment and process optimization. Chemical science 12 (44) (2021)
Pascal Friederich, Florian Häse, Jonny Proppe, Alán Aspuru-Guzik
Machine-learned potentials for next-generation matter simulations. Nature materials 20 (6) (2021)
Loïc M Roch, Florian Häse, Christoph Kreisbeck, Teresa Tamayo-Mendoza, Lars P E Yunker, Jason E Hein, Alán Aspuru-Guzik
ChemOS: Orchestrating autonomous experimentation. Science robotics 3 (19) (2021)
Florian Häse, Loïc M Roch, Pascal Friederich, Alán Aspuru-Guzik
Designing and understanding light-harvesting devices with machine learning. Nature communications 11 (1) (2020)
Benjamin P MacLeod, Fraser G L Parlane, Thomas D Morrissey, Florian Häse, Loïc M Roch, Kevan E Dettelbach, Raphaell Moreira, Lars P E Yunker, Michael B Rooney, J R Deeth, V Lai, G J Ng, H Situ, R H Zhang, Michael S Elliott, Ted H Haley, David J Dvorak, Alán Aspuru-Guzik, Jason E Hein, Curtis P Berlinguette
Self-driving laboratory for accelerated discovery of thin-film materials. Science advances 6 (20) (2020)
Florian Häse, Ignacio Fdez Galván, Alán Aspuru-Guzik, Roland Lindh, Morgane Vacher
How machine learning can assist the interpretation of ab initio molecular dynamics simulations and conceptual understanding of chemistry. Chemical science 10 (8) (2018)
John P Otto, Juanye Zhang, Igor Pochorovski, Samuel M Blau, Florian Häse, Zhenan Bao, Gregory S Engel, Melanie Chiu
Disentanglement of excited-state dynamics with implications for FRET measurements: two-dimensional electronic spectroscopy of a BODIPY-functionalized cavitand. Chemical science 9 (15) (2018)
Florian Häse, Loïc M Roch, Alán Aspuru-Guzik
Chimera: enabling hierarchy based multi-objective optimization for self-driving laboratories. Chemical science 9 (39) (2018)
Florian Häse, Christoph Kreisbeck, Florian Häse
Machine learning for quantum dynamics: deep learning of excitation energy transfer properties. Chemical science 8 (12) (2017)