[RSC Webinar Presentation] CO₂ storage, magic doors and machine learning

Live Stream | Wednesday, November 22, 2023 18:00-19:00

Preferred Computational Chemistry will be speaking at an online seminar hosted by the Royal Society of Chemistry on Wednesday, November 22nd. In this seminar, titled "CO₂ storage, magic doors and machine learning," Professor Masanori Kono of the Tokyo Institute of Technology will be speaking and will introduce how machine learning-based atomic-scale simulations using Matlantis can help us understand experimental results related to CO₂ storage.
Please take this opportunity to join us.

【overview】

Event name: CO₂ storage, magic doors and machine learning
Date: Wednesday, November 22, 2023 18:00-19:00 (Japan time)
Venue: Online distribution via GoToWebinar
Participation fee: Free (pre-registration required)
Organizer: The Royal Society of Chemistry
Application (external site): https://attendee.gotowebinar.com/register/5910201988266527062?source=PFCC

[Lecture Content]

• How a Cu-based coordination network with isolated pores but no interconnected channels selectively adsorbs CO₂ under ambient conditions

• How Machine Learning-Based Atomic-Scale Simulations with Matlantis Streamline Experimental Results

• Large-scale materials exploration supported by cutting-edge neural network potential

[Speakers]

Masanori Kono
Tokyo Institute of Technology

He was appointed professor in the Department of Chemistry, Faculty of Science and Engineering, Tokyo Institute of Technology in September 2015. He received his PhD in coordination chemistry from Waseda University in 1993. His specialties are coordination chemistry, supramolecular chemistry, in situ chemical crystallography, crystalline state photochemistry, and first-principles powder X-ray crystallography.

Rudy Coquet
Preferred Computational Chemistry, Inc.

Senior Manager of the Technical Sales Department. He received his PhD in Chemistry from Cardiff University in the UK in 2005 and his MBA from HEC Paris in France in 2013.