High throughput experimental and theoretical predictive screening of materials : A comparative study of search strategies for new fuel cell anode catalysts

By P. Strasser, Qun Fan, M. Devenney, W. Weinberg, Ping Liu, Jens K. Nørskov. 2003

230 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/9dce0c4b5df04838c34a7a7ac8d6f3b445195d9f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Jeff Greeley
2. Jens K. Nørskov
3. I. Chorkendorff
4. J. Rossmeisl
5. I. Stephens
6. H. Hansen
7. Natalio Mingo
8. Marco Buongiorno Nardelli

In Materials Chemistry

1. Stefano Curtarolo
2. Jeff Greeley
3. Natalio Mingo
4. Jens K. Nørskov
5. Marco Buongiorno Nardelli
6. J. Rossmeisl
7. I. Chorkendorff
8. Gus L. W. Hart

In Renewable Energy, Sustainability and the Environment

1. Jens K. Nørskov
2. Jeff Greeley
3. I. Chorkendorff
4. J. Rossmeisl
5. I. Stephens
6. H. Hansen
7. A. Bondarenko
8. Stefano Curtarolo

Citations in the corpus

• Alloys of platinum and early transition metals as oxygen reduction electrocatalysts. (2009, methodology): “Our approach is to first use density functional theory (DFT) calculations to identify interesting candidates and to then test them experimentall”
• The high-throughput highway to computational materials design. (2013, background): “Several descriptor-based searches for new heterogeneous cata-lysts have been reported in recent years, each screening a few dozen metal surfaces and surface alloys for various chemical reactions 12,87,96,97,99,104–108 .”