Connecting atomic-scale structure to emergent complex behavior
across physical, chemical, and biological systems
Computational design
Density functional theory and machine learning.
Materials synthesis
High-throughput robotic synthesis of solution-processed nanomaterials.
Devices
Li-ion batteries, CO2 capture, solar cells, catalysis.
Our mission
Our group investigates the fundamental principles that govern how matter organizes, transforms, and acquires function — from quantum-confined semiconductors to self-assembled molecular systems and the chemical networks relevant to the origin of life.
We seek universal rules that connect phenomena across scales: criticality, emergent behavior, entropy-driven ordering, and the interplay between microscopic structure and macroscopic function.
Congratulations, Kamal, on successfully defending his thesis!
Design and Investigation of Clean Energy Materials:From Stable Perovskites to Economical Catalysts for Oxygen Evolution Reaction
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…
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…