AI, Big Data, Machine Learning and Metal-Organic Framework synthesis, analysis and design. A proof of concept study (MOF-CADS)
Research Project, 2019
The goal is to build a chemical analysis, design and synthesis (CADS) software that uses Artificial Intelligence. Machine Learning and “Big Data” methods to compile and analyse original experimental data as well as third-party databases, patents and grey literature to speed up and improve the synthesis and commercial applications of the large subclass of new materials known as Metal-Organic Frameworks, MOFs.
This proof of concept study aims at using time restricted data on selected small problems to see if such a system can arrive at the preliminary solutions suggested by the latest experiments.
Participants
Lars Öhrström (contact)
Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry
Francoise Mystere Amombo Noa
Chalmers, Chemistry and Chemical Engineering, Chemistry and Biochemistry
Rongzhen Chen
Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd
Victor Eberstein
Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd
Funding
Chalmers
Funding Chalmers participation during 2019
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Sustainable development
Driving Forces
Basic sciences
Roots
Innovation and entrepreneurship
Driving Forces
Materials Science
Areas of Advance