High-Throughput Computational-Experimental Screening Protocol for the Discovery of Bimetallic Catalysts
Byung Chul Yeo, Hyunji Nam, Hyobin Nam, Min-Cheol Kim, Hong Woo Lee,, Donghun Kim, Kwan-Young Lee, Seung Yong Lee, and Sang Soo Han

TL;DR
This study introduces a novel high-throughput screening method using full DOS pattern similarity as a descriptor to discover bimetallic catalysts, successfully identifying new catalysts with comparable or superior performance to palladium for H2O2 synthesis.
Contribution
The paper presents the first use of full DOS patterns as descriptors in combined computational-experimental catalyst discovery, enabling efficient identification of promising bimetallic catalysts.
Findings
Identified 4 bimetallic catalysts with performance comparable to Pd.
Discovered a novel Ni-Pt catalyst with superior productivity.
Validated the effectiveness of DOS pattern similarity in catalyst screening.
Abstract
For decades of catalysis research, the d-band center theory that correlates the d-band center and the adsorbate binding energy has successfully enabled the accelerated discovery of novel catalyst materials. Recent studies indicate that, on top of the d-band center value, the full consideration of the d-band shapes describing higher moments of the d-band as well as sp-band properties can help better capturing surface reactivity. However, the density-of-states (DOS) patterns themselves have never been used as a descriptor in combined computational-experimental studies. Here, we propose the full DOS patterns as a key descriptor in high-throughput screening protocols, and prove its effectiveness. For the hydrogen peroxide (H2O2) synthesis as our demo catalytic reaction, the present study focuses on discovering bimetallic catalysts that can replace the prototypic palladium (Pd) one. Through…
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