Catalyst design by scanning probe block copolymer lithography
Abstract
It is a major challenge in catalysis to uncover structure–performance relationships that drive the design and optimization of high-performance/low-cost catalysts. When one considers the number of potential elemental combinations for catalysts and then includes variables, such as particle size and elemental stoichiometry, the number of possibilities is daunting. There are also significant challenges facing the synthetic chemist, who is tasked with making and characterizing such complex architectures. Indeed, a way of substantially narrowing the field is essential. In this work, we introduce an effective approach that combines computational prediction, experimental verification using a well-defined nanomodel, and finally production of high-performance catalysts in bulk as a powerful tool for discovering and designing catalysts for energy conversion and storage.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 23, 2018
- Source ID
- 10.1073/pnas.1800884115
Entities
People
- Chad Mirkin
- Chris Wolverton
- Liliang Huang
- Mohan Liu
- Pavlo Gordiichuk
- Peng-Cheng Chen
- Xianbiao Fu
- Yanan Yu
- Yijin Kang
Organizations
- Air Force Office of Scientific Research
- National Natural Science Foundation of China
- National Science Foundation
- Northwestern University
- University of Electronic Science and Technology of China