Mott Seminar (531) room, top floor of the Mott Building, in the Cavendish Laboratory, West Cambridge.


2019-10-28 16:30: MLDG: Generative models (Jesse Allardice and Austen Lamacraft)

2019-11-11 16:30: A machine-learned potential for the phase-change-memory material, Ge-Sb-Te (Prof Stephen R Elliott)

2019-11-11 17:00: The modern-day blacksmith (Dr. Gareth Conduit)

2019-11-25 16:30: Visualising energy landscapes using stochastic neighbour embedding (Ben Shires)

2019-11-25 17:00: More tricks of the trade for ML descriptions of atomistic systems (Dr. Edgar Engel)

2020-01-06 16:30: Using machine learning to make maps of stem cell differentiation (Dr. Jake Yeung, Hubrecht Institute for Developmental Biology and Stem Cell Research)

2020-01-20 16:30: MOFA: a principled framework for the unsupervised integration of multi-omics data (Ricard Argelaguet)

2020-01-20 17:00: Identifying degradation patterns of Li-ion batteries from impedance spectroscopy using machine learning (Yunwei Zhang 	)

2020-02-03 16:30: Representation Learning from Stoichiometry (Rhys Goodall)

2020-02-03 17:00: State-of-the-art QSAR modelling with SOAP ( William McCorkindale)

2020-02-17 16:30: Constrained Bayesian optimization for automatic chemical design using variational autoencoders (Ryan-Rhys Griffiths)

2020-02-17 17:00: Combining Quantum Mechanical Response Operators and Machine Learning. (Felix Faber)

2020-03-02 16:30: Auto-populating ontologies: Data-extraction beyond single properties with ChemDataExtractor 2.0 and TableDataExtractor (Juraj Mavracic)

2020-03-02 17:00: Regularised body-ordered Permutation-Invariant Polynomials (aPIP) for Materials  (Cas van der Oord)