Machine learning, enhanced sampling, and dynamical surrogate models for glassy and adaptable materials

Place: University of Chicago Center in Delhi, DLF Capitol Point Building, Connaught Place, Baba Kharak Singh Marg, New Delhi
Dates: Mon, March 30 – Wed, April 1, 2026
Organizers: Andrew Ferguson (UChicago), Srikanth Sastry (JNCASR)

Workshop Scope

Glassy behavior is a generic feature of a wide range of disordered materials ‒ from structural glasses to soft materials to biomolecular assemblies ‒ characterized by complex and slow relaxation processes and processing history-dependent materials properties. These features can be understood in terms of the rugged energy landscapes with multiple locally stable states and the crossing of barriers between them. Computational investigations of these systems demand new approaches to enhanced sampling and exploration of their configuration space. Glasses as materials exhibit a rich property-composition-processing space, the exploration of which poses significant challenges, but also the opportunity to engineer materials of important technological relevance with unique properties. This workshop will explore approaches to harnessing advances in artificial intelligence and machine learning to address open challenges in understanding and engineering glasses, and relate them to advances in a broader context, including new approaches to investigating rare events.

Location and Venue

The workshop will be held at the University of Chicago Center in Delhi, located in the heart of Delhi at the DLF Capitol Point Building in Connaught Place, on Baba Kharak Singh Marg, New Delhi. The Center occupies 17,500 square feet, comprising space for seminars and conferences, as well office space for faculty, staff and student study areas.

Financial Support

The workshop is co-sponsored by the University of Chicago Provost’s Global Faculty Awards and CECAM-US-CENTRAL, the first CECAM node in the United States, and will be held at the University of Chicago Center in Delhi. There are no registration fees for this event. We are pleased to be able to offer limited financial support to defray the costs of travel and accommodation.

Organizers

Srikanth Sastry, JNCASR sastry@jncasr.ac.in
Andrew Ferguson UChicago andrewferguson@uchicago.edu 

Administrative Support

Devnidhi Joshi, UChicago Delhi Center delhifacilities@uchicago.edu

Senior Invited Speakers

Aaron Dinner (UChicago)
Anand Srivastava (IISc)
Andrew Ferguson (UChicago)
Anoop Krishnan (IIT Delhi)
Ashwin Sampangiraj (GITAM)
Divya Nayar (IIT Delhi)
Indrajit Tah (CGCRI)
Jagannath Mondal (TIFRH)
Neelanjana Sengupta (IISER Kolkata)
Rituparno Mandal (RRI)
Sanat Kumar (Columbia)
Sarika Bhattacharyya (NCL Pune)
Srikanth Sastry (JNCASR)
Suman Chakrabarty (SNBNCBS Kolkata)
Suri Vaikuntanathan (UChicago)
Tarak Karmarkar (IIT Delhi)
Tarak Patra (IITM)

Junior Invitees Posters and Lightning Talks

Raghav Mathur (IISc)
Dibyendu Maity (SNBNCBS Kolkata)
Hindol Chatterjee (IISER Kolkata)
Swarnendu Maity (JNCASR)
Sajid Mannan (IIT Delhi)
Sibasankar Panigrahy (IIT Delhi)
Subinoy Adhikari (TIFRH)
Neha (IITM)
Nikhil (GITAM)
Raghav TS (RRI,JNCASR)

Schedule

**All invited talks are 30 mins + 15 mins discussion / Q&A.**

Day 1 – Mon March 30, 2026
9:00-9:20REGISTRATION AND TEA
9:20-9:30WELCOME AND INTRODUCTIONS
Andrew Ferguson (UChicago)
Srikanth Sastry (JNCASR)
Leni Chaudhuri (Executive Director, UChicago Center in Delhi)
9:30-10:15Rituparno Mandal (RRI)
“TBA”
10:15-11:00Tarak Karmarkar (IIT Delhi)
“Modelling Rare Events using Machine Learning Interatomic Potential-based Enhanced Sampling Simulations”
11:00-11:30TEA BREAK
11:30-12:15Sarika Bhattacharyya (NCL Pune)
“TBA”
12:15-13:00Indrajit Tah (CGCRI)
“TBA”
13:00-14:00LUNCH
14:00-14:45Suri Vaikuntanathan (UChicago)
“TBA”
14:45-15:30Divya Nayar (IIT Delhi)
“From Data to Design: Predicting and Engineering Heterogeneous Polymer–Surface Adhesion”
15:30-16:00TEA BREAK
16:00-17:00LIGHTNING TALKS (3-slides, 3-minutes)
Raghav Mathur (IISc)
Dibyendu Maity (SNBNCBS Kolkata)
Hindol Chatterjee (IISER Kolkata)
Raghav TS (RRI,JNCASR)
Swarnendu Maity (JNCASR)
Sajid Mannan (IIT Delhi)
Sibasankar Panigrahy (IIT Delhi)
Subinoy Adhikari (TIFRH)
Neha (IITM)
Nikhil (GITAM)
Day 2 – Tue March 31, 2026
9:00-9:30REGISTRATION AND TEA
9:30-10:15Srikanth Sastry (JNCASR)
“Seeing through glass failure: Prediction of fatigue failure in glasses from damage quantification and machine learning”
10:15-11:00Anoop Krishnan (IIT Delhi)
“TBA”
11:00-11:30TEA BREAK
11:30-12:15Aaron Dinner (UChicago)
“Machine learning mechanisms of rare events”
12:15-13:00Tarak Patra (IITM)
“Can Machine Learning Enable the Design of Adaptable Materials?”
13:00-14:00LUNCH
14:00-14:45Jagannath Mondal (TIFRH)
“Kinetically Faithful Trajectory Synthesis Using Generative AI”
14:45-15:30Ashwin Sampangiraj (GITAM)
“What Bacteria Can Teach Us About LLMs: Criticality from Information Geometry”
15:30-17:00TEA BREAK + POSTER SESSION
18:00-20:30WORKSHOP DINNER
Karigari Restaurant (https://maps.app.goo.gl/iffgzka2cjYVfqBu5)
Day 3 – Wed April 1, 2026
9:00-9:30REGISTRATION AND TEA
9:30-10:15Andrew Ferguson (UChicago)
“Gentlest Ascent Dynamics for Enhanced Sampling (GADES)”
10:15-11:00Suman Chakrabarty (SNBNCBS Kolkata)
“TBA”
11:00-11:30TEA BREAK
11:30-12:15Anand Srivastava (IISc)
“Fold-switching metamorphic proteins as stimulus responsive nanomaterials: Unravelling the design principles using statistical thermodynamics and machine learning algorithms”
12:15-13:00Sanat Kumar (Columbia)
“TBA”
13:00-14:00LUNCH
14:00-14:45Neelanjana Sengupta (IISER Kolkata)
“Pinpointing Origins of Elusive Conformational Transitions: Machine Learning Strategies”
14:45-15:55OPEN DISCUSSION
15:55-16:00CLOSING REMARKS
Andrew Ferguson (UChicago)
Srikanth Sastry (JNCASR)