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Nina Prakash

Observed name: Prakash, Nina
ORCID: 0000-0001-6653-0694
Observed ORCID: 0000-0001-6653-0694
OpenAlex ID: A5113340360
Searching for a Pulse: Evaluating the Use of Rapid DC Pulses for Diagnosing Battery Health, State-of-Charge, and Safety
2025 · Paul Gasper, Nina Prakash, et al. · Journal of The Electrochemical Society · 13
Predicting Si-anode calendar life using machine learning: Correlating electrolyte properties and electrochemical signals
2025 · Maxwell C. Schulze, Nina Prakash, et al. · Journal of Power Sources · 11
Physical Interpretation of Early Battery Life Prediction Models
2025 · Paul Gasper, Nina Prakash, et al. · Journal of The Electrochemical Society · 8
Early calendar life and health prediction of silicon batteries via machine learning with uncertainty quantification
2026 · Nina Prakash, Ankit Verma, et al. · Cell Reports Physical Science · 5
Tailored solvent treatment for optimized production of upcycled anodes from end-of-life Li-ion batteries
2026 · Nicholas McKalip, Ankit Verma, et al. · Chem Circularity · 2
Concavity-based local erosion and sphere-size-based local dilation applied to lithium-ion battery electrode microstructures for particle identification
2025 · Francois L.E. Usseglio-Viretta, Paul Gasper, et al. · Computational Materials Science · 2
ExpertSegmentation: Segmentation for microscopy with domain-informed targets via custom loss
2025 · Nina Prakash, Paul Gasper, et al. · Acta Materialia · 1
battimal (Battery Intelligence and Machine Learning) [SWR-25-138]
2026 · Gasper, Paul, Prakash, Nina, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Cost-aware sequential Bayesian optimal experimental design for lithium-ion battery life testing
2026 · Nina Prakash, Atlanta Chakraborty, et al. · Journal of Power Sources
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Realizing the Promise of Early-Life Battery Failure Prediction Models with Active Learning
2026 · Paul Gasper, Nina Prakash, et al. · ECS Meeting Abstracts
Early Calendar Life and State-of-Health Prediction of Silicon Batteries via Machine Learning with Uncertainty Quantification
2026 · Nina Prakash, Ankit Verma, et al. · ECS Meeting Abstracts
Feature Extraction Library for CANNELE: Capacity-Aware Nonlinear iNference Experimental Learning Engine
2026 · Nina Prakash, Gasper, Paul, et al. · Zenodo (CERN European Organization for Nuclear Research)
Predicting Li-Ion Battery Capacity Fade Using Early-Life Data and a Hybrid Data-Driven Gaussian Process-Bayesian Regression Approach
2026 · Kinshuk Panda, Malik Hassanaly, et al.
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Distributed Open Justice Oversight (DOJO): A Community-Driven, Modality-Agnostic Platform for Adversarial Evaluation of Health AI
2026 · Alexa Q. Xiang, Takeshi Tohyama, et al. · SSRN Electronic Journal
(Invited) Benchmarking the Use of Rapid DC Pulses and EIS for Diagnosing Battery Capacity, State-of-Charge, and Safety
2025 · Paul Gasper, Nina Prakash, et al. · ECS Meeting Abstracts
(Invited) Calendar Life Analysis of Si-Containing Anodes for Li-Ion Batteries
2024 · Anton Tomich, Ankit Verma, et al. · ECS Meeting Abstracts
Works count: 16
Citation count: 42
H-index: 4
I10-index: 2
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