Exploiting Machine Learning in Multiscale Modelling of Materials
A UKIERI-DST (UK-India Education and Research Initiative-Department of Science and Technology) Partnership Development Workshop
Monday 13th December - Friday 17th December
14:00 - 17:00 GMT
Online via Zoom
Organisers: Dr Gautam Anand (Indian Institute of Engineering Science and Technology) and Dr James Kermode (Warwick Centre for Predictive Modelling)
View the Schedule here
This Partnership Development Workshop (PDW) will bring together physical scientists, materials scientists, engineers and mathematicians from the UK and from India for discussion on the development of machine learning algorithms along with envisaging the possible applications for challenging problems in materials science and engineering. We believe that progress in this area has been held back in part for cultural reasons: new algorithms are typically developed in the mathematical and computational sciences, while applications are in the physical sciences and engineering. Improved links are needed to stimulate further progress.
This workshop will also involve students and researchers associated with the EPSRC Centre for Doctoral Training of Modelling of Heterogeneous Systems (HetSys), which we anticipate will also help to initiate collaborative research grants in the area of machine learning and multiscale modelling of materials.
This Partnership Development Workshop (PDW) falls under the Research and Innovation strand of the UK-India Education and Research Initiative (UKIERI). The aim of UKIERI-DST Partnership Development Workshops is to help researchers from both countries to come together and provide an overview of developments and trends on mutual themes of interest, share their research findings and explore joint collaborations and partnerships. In addition, the workshops aim to support international development-relevant research.
