Improving electrolyte performance for target cathode loading using an interpretable data-driven approach
- Vidushi Sharma
- Andy Tek
- et al.
- 2024
- Cell Reports Physical Science
Dr. Max Giammona is a staff research scientists and technical lead within the Accelerated Discovery for Sustainable Materials group at IBM's Almaden Research Center where their research is focused on applications of artificial intelligence, machine learning, and quantum computing towards accelerating the discovery of new materials for electrochemical energy storage applications (batteries). Prior to joining IBM in 2017, Dr. Giammona received their PhD in experimental physical chemistry from the University of California, Santa Barbara. Dr. Giammona has a passion for understanding structure-function relationships in new materials, specifically in the areas of energy generation, energy storage, and molecular self-assembly and for leverage multidisciplinarity and collaboration to help accelerate the scientific process.
Leveraging our expertise in materials science, AI, quantum and high performance computing, we're developing a more powerful, sustainable, and energy-efficient battery.