DFT-FE Code: Methods, Modeling and Applications
Dates: 7–8 February 2026
Venue: Department of Computational and Data Sciences, IISc Bengaluru
Mode: In-person
Participants: ~40 (selection-based)
This two-day workshop focuses on DFT-FE, a massively parallel real-space density functional theory (DFT) open-source code based on adaptive finite-element discretization for large-scale ab initio calculations.
DFT-FE supports pseudopotential and all-electron calculations within a unified framework, accommodates periodic, non-periodic, and semi-periodic boundary conditions, and incorporates scalable solvers for the Kohn–Sham equations. The code has been used in large-scale scientific applications and was the workhorse behind the 2019 ACM Gordon Bell Prize finalist nomination and the 2023 ACM Gordon Bell Prize.
The workshop aims to introduce researchers to DFT-FE’s methods, capabilities, and practical usage, with an emphasis on hands-on learning and real-world applications.
The primary objectives of the workshop are to:
Introduce the theoretical foundations of real-space finite-element DFT
Provide an overview of the DFT-FE code architecture and capabilities
Enable participants to run and analyze DFT-FE simulations through hands-on sessions
Demonstrate applications of DFT-FE to materials and chemical systems
Build a user community ahead of DFT-FE deployment on NSM systems
The workshop is intended for:
Faculty members and researchers in computational materials science or chemistry
PhD students and advanced postgraduate students involved in computational research
Industrial researchers interested in large-scale electronic structure calculations and HPC-enabled DFT
A basic familiarity with density functional theory and computational workflows is recommended.
The workshop will include:
Introductory lectures on DFT and real-space finite-element methods
Guided walkthrough of the DFT-FE codebase and workflows
Hands-on sessions and demonstrations using representative systems
Discussion of best practices, HPC scaling considerations, and applications
Prof. Phani Motamarri, Department of Computational and Data Sciences, IISc Bangalore
Dr. Sambit Das, University of Michigan Ann Arbor, USA
Prof. Vikram Gavini, University of Michigan Ann Arbor, USA
Prof. Ananth Govind Rajan, Department of Chemical Engineering, IISc Bangalore
Prof. Sai Gautam Gopalakrishnan, Department of Materials Science and Engineering, IISc Bangalore
Prof. Nisanth Nair, Department of Chemistry, IIT Kanpur
Prof. Gour P. Das, Research Institute for Sustainable Energy (RISE), TCG Crest, Kolkata
Prof. Sudarshan Vijay, Department of Chemical Engineering, IIT Bombay
Prof. Minoru Otani, University of Tsukuba, Japan
Dr. Krishnamohan Tekkapet, Korean Institute of Science and Technology, South Korea
There will be talks by a few of the above faculty about the use cases of DFT-FE and/or the relevance of DFT in energy storage, catalysis, and other applications where large-scale DFT can significantly impact predictive materials design.
Prof. Phani Motamarri, Department of Computational and Data Sciences, IISc Bangalore
Kartick Ramakrishnan, PhD Student, Department of Computational and Data Sciences, IISc Bangalore
Nikhil Kodali, PhD Student, Department of Computational and Data Sciences, IISc Bangalore
Srinibas Nandi, PhD Student, Department of Computational and Data Sciences, IISc Bangalore
Nishant Gupta, PhD Student, Department of Computational and Data Sciences, IISc Bangalore
Gourab Panigrahi, PhD Student, Department of Computational and Data Sciences, IISc Bangalore
Mehul Darak, BS Student, Materials Science, IISc Bangalore
Last date to register: 1 January 2026
Participants selected by: 7 January 2026 (tentative)
Participation is limited and selection-based. Interested participants are required to submit a short statement of interest during registration.
Selected participants (Faculty / Scientists / Students) will be provided with:
Travel support by rail (two-way, III AC class)
Accommodation during the workshop period (including one day prior and the last day)
Further details will be communicated to selected participants.
Axis Bank Center for Mathematics and Computing
National Supercomputing Mission (CDAC, Pune)
For queries related to the workshop or registration, please contact: