New Trends in Computational Chemistry -ed. 2021 – Program
Thursday, September 9th
9:15-9:30 | Welcome by Eliseo Ruiz Sabin, IQTC Director |
9:30-10:00 | RES Presentation Dr Jordi Mas, RES Project Officer, BSC-CNS |
CHAIR: Qinghua Liao | |
10:00-10:40 | “Computational discovery of molecular materials” Prof. Kim Jelfs, Imperial College London |
10:40-11:20 | “Atomistic simulations in the age of machine learning” Prof. Michele Ceriotti, École polytechnique fédérale de Lausanne ‐ EPFL |
11:20-11:45 | Break |
CHAIR: Salomé Llabré | |
11:45-12:25 | “Combining data science with quantum chemistry: Industrial applications in Healthcare and Electronics“ Dr Jan Gerit Brandenburg, Merck KGaA |
12:25-13:10 | “Breaking barriers: Atomistic simulations and AI for the chemical industry” Dr Stephan Mohr, CSO, Nextmol |
13:20-15:00 | Break |
CHAIR: Jordi Cirera | |
15:00-15:40 | “Development of new and highly accurate density functionals with machine learning“. Prof. Marivi Fernandez-Serra, Stony Brook University |
15:40-16:20 | “Machine Learning for Molecular Dynamics” Prof. Simon Olsson, Chalmers University of Technology |
16:20-16:30 | Break |
CHAIR: Manuel Kolb | |
16:30-17:10 | “Modelling of Complex Energy Materials with Machine Learning“. Prof. Nongnuch Artrith, Utrecht University |
17:10-18:00 | “Teaching a Neural Network about Chemical Reactivity“. Prof. Olexandr Isayev, Carnagie Mellon University |
Friday, September 10th
CHAIR: Jordi Juarez Jimenez (Lecturer, Faculty of Pharmacy) | |
9:30-10:10 | “From Big Data to Smart Data: Data-Efficient Machine Learning for Materials and Energy Research”. Prof. Karsten Reuter, Fritz-Haber-Institut der Max-Planck-Gesellschaft |
10:10-10:50 | “AI-enhanced manufacturing: a common data-driven framework for industrial applications“ Dr Federico Zipoli, IBM Research GMBH |
10:50-11:30 | “Chemical Space Exploration”. Prof. Jan Jansen, University of Copenhagen |
11:30-12:00 | Break |
CHAIR: Carles Curutchet | |
12:00-12:40 | “Deep Learning for the Molecular Sciences”. Prof. Frank Noe, Freie Universität Berlin |
12:40-13:20 | “Molecular property prediction with accurate hydrophobicity descriptors” Dr Enric Herrero Abellanas, CTO, Pharmacelera |
13:20-14:00 | “On Electrons and Machine Learning Force Fields“. Prof. Alexandr Tkachenko, Université du Luxembourg |
14:00-14:15 | Closing Remarks |