Ankit Mathanker
Materials Science · University of Michigan
Publications
20
Citations
334
Est. group size
~2
Recurring co-author estimate
Active years
7
Publishing since 2020
Typically publishes in teams of ~3 · 50% small-team papers (≤3 authors) · across 8 venues
- Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces
Open MIND · 2026
- Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces
arXiv (Cornell University) · 2026
- From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Repository@Nottingham (University of Nottingham) · 2026
- From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
arXiv (Cornell University) · 2026
- Estimating potential-dependent physicochemical properties at metal--electrolyte interfaces using machine learning interatomic potentials (Part 1)
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Estimating potential-dependent physicochemical properties at metal--electrolyte interfaces using machine learning interatomic potentials (Part 2)
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Estimating potential-dependent physicochemical properties at metal--electrolyte interfaces using machine learning interatomic potentials (Part 3)
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Estimating potential-dependent physicochemical properties at metal--electrolyte interfaces using machine learning interatomic potentials (Part 2)
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Estimating potential-dependent physicochemical properties at metal--electrolyte interfaces using machine learning interatomic potentials (Part 3)
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Estimating potential-dependent physicochemical properties at metal--electrolyte interfaces using machine learning interatomic potentials (Part 1)
Zenodo (CERN European Organization for Nuclear Research) · 2025
- SYNERGISTIC EFFECT OF WATER AND CO-SOLVENTS ON THE HYDROTHERMAL LIQUEFACTION OF AGRICULTURAL BIOMASS TO PRODUCE HEAVY OIL
International Journal of Energy for a Clean Environment · 2022
- A Review of Hydrothermal Liquefaction of Biomass for Biofuels Production with a Special Focus on the Effect of Process Parameters, Co-Solvents, and Extraction Solvents
Energies · 2021
- Hydrothermal liquefaction of lignocellulosic biomass feedstock to produce biofuels: Parametric study and products characterization
Fuel · 2020
- Hydrothermal liquefaction of lignocellulosic biomass to produce biofuels
University of Alberta Library · 2020
- Zenodo (CERN European Organization for Nuclear Research)×6
- arXiv (Cornell University)×4
- Fuel×1
- Energies×1
- Current Opinion in Electrochemistry×1
- Pushkar Ghanekar
Materials Science · Purdue University West Lafayette
- J. Lund
Materials Science · Purdue University West Lafayette
- Venkat Viswanathan
Materials Science · University of Michigan
- Brian H. Lee
Materials Science · Purdue University West Lafayette
- Arun Mannodi‐Kanakkithodi
Materials Science · 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 Jul 25, 2026.
Claim or correct this profile