Paris climate agreement has set a target of achieving net-negative global emissions by the year 2050.
Our group works on developing new materials for low-cost and scalable energy conversion, storage, and CO2 capture to meet this target.
Density functional theory and machine learning.
High-throughput robotic synthesis of solution-processed nanomaterials.
Li-ion batteries, CO2 capture, solar cells, catalysis.
Alex named a highly-cited researcher 2020 in Materials Science by Web of Science
Each year, Clarivate™ identifies the world’s most influential researchers ─ the select few who have been most frequently cited by their… Read More
Alliance for accelerated materials discovery A3MD (using machine learning)
We are proud to be a part of this academia-industry collaboration, working on a high throughput design and synthesis of… Read More
Welcoming our new students!
Welcoming our fresh PhD student Milad, and a cohort of undergraduate researchers, Abhishek, Tony, Ihor, Usama, Akshay, Dave. Shadi is… Read More