Preliminary program 2024
October 10th, 2024
Hosts: Prof. Dr. Karin Everschor-Sitte, Prof. Dr. Doris Segets, Prof. Dr. Torben Weis
Sessions with tandems formed by an academic and an industry speaker, 20 minutes each, followed by 10 minutes Q+A; two Keynote Talks from Academia and Industry at the end
Language: English
Booklet (PDF 1.2 MB)
8:30 Arrival and registration | Welcoming coffee
09:00 - 09:45 | Welcome and Scientific Keynote Address
09:45 - 10:45
Die unterschätzte Revolution: Über die transformative Kraft der KI und unser Problem sie zu verstehen
Prof. Dr. Frederik Ahlemann
Universität Duisburg-Essen
09:45 - 10:45 | Session I. Data Storage, Acquisition and Quality
09:45 - 10:45
FAIR Research Data Management in Materials Science with FAIRmat and NOMAD
Dr. Ahmed Mansour
Coordinator “User Support, Training and Outreach” NFDI FAIRmat, Humboldt-Universität zu Berlin
09:45 - 10:45
Anchoring AI solutions for customers in manufacturing companies
Dr. Dagmar Dirzus
Vice President AI & Platform Business, KROHNE Messtechnik
10:45 – 11:00 Coffee Break
Alternative Perspective to Valorize the Municipal Solid Waste Incineration (MSWI) Bottom Ash for Metal and Cement Industries
10:45 – 11:00 Coffee Break
11:00 - 12:00 | Session II. Materials Processes: From Automation to Autonomous
13:30 - 14:30
Enhanced experimental workflows for providing industrially relevant data to accelerated materials R&D
Prof. Dr. Thomas Kirchartz
Chair of “Electrical Engineering and Information Technology” at Universität Duisburg-Essen, head of department “Analytics and Simulation” at Research Centre Jülich
13:30 - 14:30
Enhanced experimental workflows for providing industrially relevant data to accelerated materials R&D
Florian Huber
hte GmbH – the high throughput experimentation company
12:00 – 13:00 Lunch Break
13:00 – 14:00 | Session III. Materials Informatics
11:00 - 12:00
Generative microstructure reconstruction and generation via stable diffusion
Yixuan Zhang
Theory of magnetic Materials, TU Darmstadt
11:00 - 12:00
Accelerating materials design with AI emulators and generators
Dr. Tian Xie
Microsoft Research AI4Science (recorded talk)
14:00 – 14:15 | Coffee Break
14:15 – 15:15 | Session IV. Lifetime Prediction / Digital Twin
14:45 - 15:45
tba
14:45 - 15:45
tba
15:15 – 16:15 | Industry Keynote Address and Concluding Discussion
09:45 - 10:45
How can artificial intelligence make specialty chemicals smarter and faster?
Dr. Henrik Hahn
Chief Digital Officer, Evonik