A computational approach to methanol oxidation catalyst design

Co-Author(s)

Hackler, Ryan A.; Rider, David A. (Materials scientist); Berger, Robert F.

Research Mentor(s)

Berger, Robert F.

Description

Methanol is an appealing alternative fuel, due to its high energy density and ease of storage and transport. In order for direct methanol fuel cells to become a more viable power source, there is a need for more efficient methanol oxidation catalysts. The prototypical methanol oxidation catalyst is platinum. However, due to its expense and its tendency to promote a reaction pathway that generates carbon monoxide (which proceeds to poison the catalyst) as an intermediate, a variety of alternative catalysts are currently being synthesized and tested. Using computation, we aim to guide this design of methanol oxidation catalysts. We have begun to develop an approach, based on plane-wave density functional theory (DFT), to relate the binding geometries and strengths of atoms and small molecules on catalyst surfaces to the rates of competing methanol oxidation pathways. Guided by recent literature, we have begun by mapping the binding sites and orientations of carbon monoxide and formic acid on the (111) surfaces of platinum and bimetallic alloys such as platinum-gold.

Document Type

Event

Start Date

14-5-2015 10:00 AM

End Date

14-5-2015 2:00 PM

Department

Chemistry

Genre/Form

student projects; posters

Subjects – Topical (LCSH)

Methanol as fuel

Type

Image

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this documentation for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.

Language

English

Format

application/pdf

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May 14th, 10:00 AM May 14th, 2:00 PM

A computational approach to methanol oxidation catalyst design

Methanol is an appealing alternative fuel, due to its high energy density and ease of storage and transport. In order for direct methanol fuel cells to become a more viable power source, there is a need for more efficient methanol oxidation catalysts. The prototypical methanol oxidation catalyst is platinum. However, due to its expense and its tendency to promote a reaction pathway that generates carbon monoxide (which proceeds to poison the catalyst) as an intermediate, a variety of alternative catalysts are currently being synthesized and tested. Using computation, we aim to guide this design of methanol oxidation catalysts. We have begun to develop an approach, based on plane-wave density functional theory (DFT), to relate the binding geometries and strengths of atoms and small molecules on catalyst surfaces to the rates of competing methanol oxidation pathways. Guided by recent literature, we have begun by mapping the binding sites and orientations of carbon monoxide and formic acid on the (111) surfaces of platinum and bimetallic alloys such as platinum-gold.