Venkat Viswanathan

Materials Science · University of Michigan

Mid career · publishing since 2010Rising activity

Machine Learning in Materials Science Advanced Battery Technologies Research Advancements in Battery Materials Computational Drug Discovery Methods Electrocatalysts for Energy Conversion

Publications

Citations

Est. group size

Recurring co-author estimate

Active years

Publishing since 2010

In context

Among 438 mid career Materials Science PIs within our index

Citations: 32cohort median 778

Publications / year (recent): 3.2cohort median 3

Typically publishes in teams of ~4 · 39% small-team papers (≤3 authors) · across 9 venues

Publication cadence

Publications per year over the last 10 years — averaging 3.2/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

ChemBERTa-3: an open source training framework for chemical foundation models
Digital Discovery · 2026
Fast data augmentation for battery degradation prediction
Energy and AI · 2025
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
ChemRxiv · 2025
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
ChemRxiv · 2025
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
Zenodo (CERN European Organization for Nuclear Research) · 2025
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
Zenodo (CERN European Organization for Nuclear Research) · 2025
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
Zenodo (CERN European Organization for Nuclear Research) · 2025
Open-Source Fermionic Neural Networks with Ionic Charge Initialization
arXiv (Cornell University) · 2024
A Coupled NMR and Differential Capacity Study of the Consumption of Electrolyte and Additive Components during the Formation Cycle of Li-Ion Pouch Cells
ECS Meeting Abstracts · 2024
Pressure-Electrochemistry as a Pathway to Novel Metal Hydrides
ECS Meeting Abstracts · 2023
Quasi-Rechargeability in Li-CF<sub>x</sub> Batteries
ECS Meeting Abstracts · 2023
Open Source Infrastructure for Differentiable Density Functional Theory
arXiv (Cornell University) · 2023
Enhanced Electrochemical Activity Volcanoes in Flat-Band Twisted Trilayer Graphene
ECS Meeting Abstracts · 2023
Self-assembling and self-healing rechargeable Li batteries Final Scientific/Technical Report
2022
Rotation Equivariant Fourier Neural Operators for Learning Symmetry Preserving Transformations on Scalar Fields, Vector Fields, and Higher Order Tensor Fields
arXiv (Cornell University) · 2021

Publishes in

Bulletin of the American Physical Society×7
arXiv (Cornell University)×7
ECS Meeting Abstracts×5
Zenodo (CERN European Organization for Nuclear Research)×3
ChemRxiv×2

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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