Digital Discovery First Issue Desktop Seminars

Update 17 March 2022:

We regret to announce that the desktop seminar scheduled for 24 March has been cancelled due to exceptional circumstances. We are sorry for the inconvenience. We hope to run a similar webinar in the near future. Note that the desktop seminar on 29 March will continue as planned.

Original post:

We are pleased to announce two free desktop seminars to mark the publication of the first issue of Digital Discovery. In these 90-minute seminars, meet the authors and editors of Digital Discovery and learn about the exciting experimental and computational work being performed to accelerate scientific progress.

If you’re interested in either seminar but can’t make the date, register your interest and we’ll send you a link to the recording afterwards.

Thursday 24 March, 0900 UTC / 1000 CET / 1200 MSK / 1900 JST

Professor Yuya Oaki                                                               

Keio University, Japan

Title: “Sparse modeling for small data (SpM-S) toward digital discovery in chemistry and materials science.”

Professor Ekaterina V. Skorb

ITMO University, Russia

Editorial Board Member, Digital Discovery

Title: “Digital Discovery at Infochemistry Scientific Center of ITMO University.”

Professor Evgeny A. Pidko

Delft University of Technology, The Netherlands

Title: “High throughput computational screening and reaction network analysis for homogeneous catalysis with transition metal complexes.”

Further information

Register

Tuesday 29 March, 1800 BST / 1300 EDT / 1000 PDT

Professor Alán Aspuru-Guzik                                                 

University of Toronto, Canada

Editor-in-Chief, Digital Discovery

Title: “Computer Vision for Self-Driving Labs.”

Andrea Angulo and Prof. Miguel A. Modestino

New York University, USA

Title: “Leveraging Machine Learning Approaches to Optimize Organic Electrosynthesis.”

Professor Lilo D. Pozzo

University of Washington, USA

Editorial Board Member, Digital Discovery

Title: “Materials Acceleration for All through Open Hardware.”

Further information

Register