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Cas van der Oord.
Monday 02 March 2020, 17:00-17:30
Mott Seminar (531) room, top floor of the Mott Building, in the Cavendish Laboratory, West Cambridge.
Contact: No managers listed
0 upcoming talks View 14 archived talks
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Regularised body-ordered Permutation-Invariant Polynomials (aPIP) for Materials
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Auto-populating ontologies: Data-extraction beyond single properties with ChemDataExtractor 2.0 and TableDataExtractor
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Combining Quantum Mechanical Response Operators and Machine Learning.
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Constrained Bayesian optimization for automatic chemical design using variational autoencoders
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
State-of-the-art QSAR modelling with SOAP
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Representation Learning from Stoichiometry
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Identifying degradation patterns of Li-ion batteries from impedance spectroscopy using machine learning
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
MOFA: a principled framework for the unsupervised integration of multi-omics data
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Using machine learning to make maps of stem cell differentiation
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
More tricks of the trade for ML descriptions of atomistic systems
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
Visualising energy landscapes using stochastic neighbour embedding
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
The modern-day blacksmith
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
A machine-learned potential for the phase-change-memory material, Ge-Sb-Te
Machine learning in Physics, Chemistry and Materials discussion group (MLDG)
MLDG: Generative models
Please see above for contact details for this list.