Computational chemistry can provide fundamental knowledge regarding various aspects of materials. While its impact in scientific research is greatly increasing, its contributions to industrially important issues are far from satisfactory. In order to realize industrial innovation by computational chemistry, a new concept "combinatorial computational chemistry" has been proposed by introducing the concept of combinatorial chemistry to computational chemistry. This combinatorial computational chemistry approach enables theoretical high-throughput screening for materials design. In this manuscript, we review the successful applications of combinatorial computational chemistry to deNOx catalysts, Fischer-Tropsch catalysts, lanthanoid complex catalysts, and cathodes of the lithium ion secondary battery.
|Number of pages||12|
|Journal||Combinatorial Chemistry and High Throughput Screening|
|Publication status||Published - Feb 1 2007|
All Science Journal Classification (ASJC) codes
- Drug Discovery
- Computer Science Applications
- Organic Chemistry