The University College London (UCL) has a global reputation for excellence in research and is committed to delivering impact and innovations that enhance the lives of people in the UK, across Europe and around the world. Known as ‚London’s Global University‘, UCL employs 4,078 academic research staff in over 50 departments and institutes. Furthermore, the UCL was identified by the UK Research Excellence Framework as the top university in the UK for research strength and is consistently placed in the global top 20 across a wide range of university rankings.
The newly established Data Driven Materials Discovery and Materials Informatics (Data-MI) Group led by Prof Adham Hashibon aims to develop innovative Data Driven Materials Informatics paradigms to accelerate the top-down design of materials addressing specific sustainability, green energy, and environmental challenges. Novel approaches combining advanced integrated computational materials modelling on all scales with data science and information technology paradigms are developed and applied to unravel knowledge and establish process-structure-property-performance (PSPP) relations to accelerate design of materials and products. It seeks to utilize and integrate Artificial Intelligence (AI), including Ontology and Machine Learning (ML) into the development process to enable discovery of “sustainable-by-design” materials and processes.
The Data-MI group is part of the UCL Institute for Materials Discovery (IMD). IMD focuses on innovative ways to develop, design, and discover novel sustainable, circular high-performance materials for the benefit of humanity. IMD aspires to be the focal point of materials science and engineering at UCL.
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