Group News (Recent)
17 Nov 2025

Reshma Devi successfully defended her PhD thesis in the Department of Materials Engineering, Indian Institute of Science on 17th December, 2025. The venue was the KP Abraham auditorium in the Department of Materials Engineering. Her thesis is titled, “Elucidation and prediction of ion transport in battery materials: A first-principles and machine learning study”. The group wishes her the best on her post-PhD career.

Reshma’s defense slides and video recording are available on the website.

28 Oct 2025

Dr. Sai Gautam Gopalakrishnan successfully obtained an early-tenure and a resultant promotion to ‘Associate Professor’ at the Department of Materials Engineering, Indian Institute of Science! The tenure and promotion are effective from the latest council meeting of the Institute, dated 20th September, 2025.

15 Jul 2025

Reshma Devi gave her PhD colloquium in the Department of Materials Engineering, Indian Institute of Science on 15th July, 2025, at 2.30pm Indian time, The venue was the KP Abraham auditorium in the Department of Materials Engineering. Her thesis is titled, “Elucidation and prediction of ion transport in battery materials: A first-principles and machine learning study”. The group wishes her a smooth defense and a quick graduation.

9 Jan 2025

The SAI-Mat group, in association with Keith Butler at the University College London, successfully organized a two day workshop on ‘AI/ML for Materials’ at the Department of Materials Engineering, Indian Institute of Science. Spread over January 7 and 8, 2025, the workshop was attended by over 35 attendees (who were selected from over 220 applicants) from various academic institutions and industries across India. The workshop was completely free for all participants, including food during the event, with generous sponsorship from The Royal Society and the UK Research and Innovation.

The workshop covered topics ranging from the basics of machine learning, relevance of graph-based neural networks in materials, the construction of machine learned interatomic potentials, and a few advanced topics (including transfer learning, diffusion and language models for materials). Besides lectures covering theory, the workshop also involved extensive hands-on sessions where participants could execute code-blocks by themselves and reduce the barrier for actual usage of such models in their work.

All the lectures and notebooks used in the workshop are available free-for-all at here and here, respectively. Video recordings of all lectures and hands-on sessions can be found corresponding to each session title at this page.


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