EAPSI: Developing Iridium-based Alloys as Effective Catalysts for Direct Ethanol Fuel Cells

燃料电池可以将不同的化学物质直接转化为电能，比传统的内燃机效率高得多。直接乙醇燃料电池（DEFC）使用乙醇作为燃料源。然而，defc商业化的一个限制是一种廉价、高效的催化剂来分解乙醇。铱合金（两种或两种以上材料的组合）是很有前途的催化剂，因为它们具有高催化活性，而且比传统的燃料电池催化剂铂便宜。用实验方法合成和测试所有可能的合金是不现实的。因此，该项目的目的是建立铱基合金的原子模型，以预测哪些合金可能是稳定的、良好的催化剂。使用高性能计算机进行模拟，可以快速、经济地预测潜在的合金，然后在实验室进行测试。因此，这项工作将加速新型DEFC催化剂的商业化，并将与日本京都大学著名金属合金建模专家Koretaka Yuge教授合作进行。开发高效的直接乙醇燃料电池（DEFCs）催化剂在催化和燃料电池领域具有重要意义。与其他类型的燃料电池相比，defc有几个优势，主要是因为它的原料乙醇具有高能量密度，比氢更安全，比甲醇毒性更小（氢和甲醇都是燃料电池的原料）。为了找到最佳的ir基合金，PI将使用密度泛函理论（DFT）和簇展开（CE）方法的结合。同时使用这两种技术，可以解决DFT方法由于计算能力有限所造成的局限性。这个项目将在京都大学进行，由Koretaka Yuge教授指导，他在DFT和CE方法的结合方面做了大量的研究。该奖项隶属于东亚和太平洋暑期研究所项目，由美国国家科学基金会和日本科学促进会共同资助，支持一名美国研究生进行暑期研究。

Fuel cells enable the conversion of different chemicals directly into electrical energy, and are much more efficient than conventional combustion engines. Direct ethanol fuel cells (DEFC) use ethanol as a fuel source. However, a limitation in commercialization of DEFCs is a cheap, efficient catalyst to break apart ethanol. Iridium alloys (a combination of two or more materials) are promising catalysts as they possess high catalytic activity and are cheaper than platinum, the traditional fuel cell catalyst. Synthesizing and testing all possible alloys experimentally is not realistic. The aim of this project is therefore to develop atomic models of Iridium-based alloys in order to predict which alloys may be stable, good catalysts. Simulations using high-performance computers allow fast, economical prediction of potential alloys, which may then be tested in the laboratory. This work thus will speed up commercialization of new DEFC catalysts and will be conducted in collaboration with Professor Koretaka Yuge, a noted expert in modeling metal alloys, at Kyoto University, Japan. Developing efficient catalysts for direct ethanol fuel cells (DEFCs) is of special importance in the catalysis and fuel cell communities. DEFCs have several advantages compared to other types of fuel cells mainly because of their feed, ethanol, which has high energy density, is safer than hydrogen and is less toxic than methanol (both hydrogen and methanol are fuel cell feeds). To find the best Ir-based alloys the PI will use a combination of density functional theory (DFT) and the cluster expansion (CE) method. By using these two techniques simultaneously, the limitation of DFT methods due to finite computation power will be resolved. This project will be conducted at Kyoto University under the mentorship of Professor Koretaka Yuge who has done tremendous research on combining the DFT and CE methods.This award under the East Asia and Pacific Summer Institutes program supports summer research by a U.S. graduate student and is funded jointly by NSF and the Japan Society for the Promotion of Science.