Srinivasan S. Iyengar
Physics and Astronomy · Indiana University
Publications
118
Citations
4,228
Est. group size
—
Recurring co-author estimate
Active years
36
Publishing since 1991
Srinivasan S. Iyengar develops computational methods to study how molecules move and vibrate, combining quantum chemistry with quantum computing. His recent work builds algorithms that run molecular simulations on quantum computers (including distributed ion-trap systems) and applies machine-learning ideas to map out how molecules' energy changes with their shape. A recurring focus is treating quantum behavior of atomic nuclei, such as hydrogen bonds in water clusters.
Publication activity has been steady, averaging roughly six papers per year over the last five years with a peak in 2023.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Current awards run through May 2027 — about under a year of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.
Ab Initio molecular Dynamics with Quantum Nuclear Effects: Potential Surfaces and Gradients from on-the-fly Graph-Theory-Based Molecular Fragmentation Methods
5 earlier awards
- NSF 1936353Sep 2019 – Aug 2024 · $2.0M awarded
QII-TAQS: Simulating Entangled Quantum Chemical Abstract Machines
- NSF 1665336Aug 2017 – Jul 2020 · $435k awarded
Ab initio molecular dynamics with quantum nuclear effects: potential surfaces and gradients from on-the-fly fragment based electronic structure methods
- NSF 1058949Aug 2011 – Jul 2016 · $420k awarded
Development and application of Quantum wavepacket ab initio molecular dynamics for study of vibrational properties in hydrogen bonded systems
- NIH R01GM087475Aug 2009 – Jul 2013 · $217k awarded
Quantum wavepacket ab initio dynamical studies of hydrogen transfer catalysis in
- NSF 0750326Feb 2008 – Jan 2011 · $400k awarded
Development and application of Quantum wavepacket ab initio molecular dynamics for study of vibrational properties in hydrogen bonded systems
Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.
Typically publishes in teams of ~3 · 61% small-team papers (≤3 authors) · across 12 venues
- Large Language Model-Type Architecture for High-Dimensional Molecular Potential Energy Surfaces
Physical Review X · 2026
- Tensor-Network-Based Distributed Quantum Dynamics on Independent Quantum Computers
arXiv (Cornell University) · 2026
- Hidden Prime-Factor Subgroups in Molecular and Condensed-Phase Systems
arXiv (Cornell University) · 2026
- Hidden Prime-Factor Subgroups in Molecular and Condensed-Phase Systems
arXiv (Cornell University) · 2026
- Tensor-Network-Based Distributed Quantum Dynamics on Independent Quantum Computers
arXiv (Cornell University) · 2026
- Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems
arXiv (Cornell University) · 2026
- Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems
arXiv (Cornell University) · 2026
- Vibrational Properties of Hydroperoxyl Radical–Water Clusters Using Quantum Algorithms for Wavepacket Dynamics
The Journal of Physical Chemistry A · 2026
- Quantum Circuit and Mapping Algorithms for Wavepacket Dynamics: Case Study of Anharmonic Hydrogen Bonds in Protonated and Hydroxide Water Clusters
Journal of Chemical Theory and Computation · 2025
- Rare Events Sampling Methods for Quantum and Classical Ab Initio Molecular Dynamics
The Journal of Physical Chemistry A · 2024
- Quantum circuit and mapping algorithms for wavepacket dynamics: case study of anharmonic hydrogen bonds in protonated and hydroxide water clusters
arXiv (Cornell University) · 2024
- A large language model-type architecture for high-dimensional molecular potential energy surfaces
arXiv (Cornell University) · 2024
- Resource Optimization for Quantum Dynamics with Tensor Networks: Quantum and Classical Algorithms
The Journal of Physical Chemistry A · 2024
- Quantum nuclear dynamics on a distributed set of ion-trap quantum computing systems
arXiv (Cornell University) · 2024
- Reformulation of All ONIOM-Type Molecular Fragmentation Approaches and Many-Body Theories Using Graph-Theory-Based Projection Operators: Applications to Dynamics, Molecular Potential Surfaces, Machine Learning, and Quantum Computing
The Journal of Physical Chemistry A · 2024
- Journal of Chemical Theory and Computation×18
- arXiv (Cornell University)×15
- The Journal of Physical Chemistry A×6
- Faraday Discussions×4
- The Journal of Chemical Physics×2
- Vibin Abraham
Physics and Astronomy · University of Michigan
- Jason M. Hughes
Physics and Astronomy · Indiana University
- Avijit Shee
Physics and Astronomy · University of Michigan
- Bikash Kanungo
Physics and Astronomy · University of Michigan
- Adam Wasserman
Physics and Astronomy · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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