People
Researchers connecting battery experiments, interfaces, computation, and AI
Our team connects battery-cell diagnostics and safety with electrochemical interfaces, computational materials, high-performance computing, and artificial intelligence.
One lab, connected expertise
Experimentalists, computational researchers, and data scientists work on shared battery questions rather than isolated disciplines.
That collaboration lets the lab move from measured cell signals to internal mechanisms, from atomic configurations to candidate materials, and from model predictions back to decisive experiments.
How we work together
Shared questions
Projects are organized around mechanisms and decisions that require both experiments and computation.
Shared methods
Students learn to connect electrochemistry, thermal measurements, multiscale modeling, HPC, and AI.
Shared standards
Reproducible workflows, careful validation, and clear communication guide every research contribution.
Current researchers
Yasaman Abdisobbouhi
Alumni & collaborators
Basab Ranjan Das Goswami
Doctoral alumnus
Battery thermal-runaway modeling, multiphysics simulation, and machine learning.
Read the University of Arizona research story →
Marco Ragone
Ph.D. alumnus & collaborator
Machine learning and microscopy analysis for energy and high-entropy materials.
Ajaykrishna Ramasubramanian
Alumnus
Battery modeling and electrochemical-energy-storage research.