2020, 10TH DECEMBER
EIT MACHINE LEARNING
STEEL SIMULATION WEBINAR
Ferritico is a proud member of the EIT Raw Materials projects EndureIT and CorTools. The projects have the common goal to develop machine learning based software for the purpose of steel properties simulation, focusing on embrittlement and corrosion respectively.
On the 10:th of December 2020, Ferritico will host a public webinar together with EIT Raw Materials and the project partners. The webinar will focus on machine learning steel properties simulation and present the solutions being developed in the projects. Welcome!
The projects would very much appreciate your input on what steel properties simulation software support is requested. Please take 10 minutes to fill out our market survey and we will keep you updated on what solutions are being provided in your field!
Introduction to materials design and integrated computational materials engineering (ICME)
Annika Borgenstam, Professor at the Department of Materials Science and Engineering, KTH Royal Institute of Technology, 10:00 -10.30 (CET)
Machine learning in ICME
Peter Hedström, Professor at the Department of Materials Science and Engineering, KTH Royal Institute of Technology, Founder Ferritico 10:30 - 11.00 (CET)
Applied machine learning in industry
Senior Lecturer Gunnar Mathiason and PhD. Niclas Ståhl, Skövde Artificial Intelligence Lab, 11:15 - 11.45 (CET)
Machine learning simulation of steel heat treatment
Vishnu Sharma, Data Scientist Ferritico, 11:45 - 12.15 (CET)
EIT CorTools project presentation - steel corrosion simulation
Anssi Laukkanen and Elina Huttunen-Saarivirta, Research Professors VTT, Satish Kolli Materials Informatics Engineer Ferritico, 13:15 - 14.00 (CET)
EIT EndureIT project presentation - steel embrittlement simulation
Wangzhong Mu, Researcher department of Materials Science and Engineering, KTH Royal Institute of Technology, 14:15 - 14.45 (CET)
Steel machine learning simulation outlook
Claes Holmström, CEO Ferritico, 14:45 - 15.15 (CET)
Ferritico is developing a corrosion resistance prediction model together with EIT Raw Materials consortium partners VTT, Outotec, Boliden, Outokumpu, Tecnalia, ZAG and DMS in the project CorTools
Ferritico is developing an embrittlement prediction model together with EIT Raw Materials consortium partners KTH, CEA and Outokumpu in the project EndureIT