Obstructed surface states as the origin of catalytic activity in inorganic heterogeneous catalysts

TL;DR

This paper introduces a novel symmetry-based computational method to identify new catalytic materials by detecting obstructed surface states in crystalline insulators, leading to the discovery of promising low-cost catalysts.

Contribution

The study develops a high-throughput approach using symmetry and topological theory to find new catalysts among topologically trivial insulators, validated on several materials and applied to a large database.

Findings

Identified 465 potential high-quality catalysts from a database of 34013 insulators.

Verified catalytic activity predictions on MoTe2 and NiPS3, confirming the theory.

Provided specific surface indices and active site locations for promising catalysts.

Abstract

The discovery of new catalysts that are efficient, sustainable, and low-cost is a major research endeavor for many industrial chemical processes. This requires an understanding and determination of the catalytic origins for the given catalysts, which still remains a challenge. Here we describe a novel method to identify new catalysts based on searching for crystalline symmetry-protected obstructed atomic insulators (OAIs) that have metallic surface states on otherwise semiconducting or insulating compounds. The Wannier charge centers in OAIs are pinned by symmetries at some empty Wyckoff positions so that surfaces that accommodate these sites are guaranteed to have metallic obstructed surface states (OSSs). Beyond the well-studied 2H-MoS2, we further verified our theory on the catalysts, 2H-MoTe2, and 1T'-MoTe2, whose catalytic active sites are consistent with our calculations of obstructed Wannier charge centers (OWCCs) and OSSs. In addition, we have predicted the location of catalytic active sites and confirmed these predictions by exploring the hydrogen evolution reaction on NiPS3 bulk single crystals, which we find to be one of the most promising new catalysts with high activity and, moreover, of low cost. Most importantly, we successfully identified several high-efficient catalysts just by considering the number of OWCCs and the crystal symmetry of the OAIs. Using the real space invariant theory and high-throughput computational methods applied to a database of 34013 topologically trivial insulators, we have identified 1788 unique OAIs (3383 ICSDs), of which 465 are potential high-quality catalysts for heterogeneous reactions. The Miller indices of the active surfaces are also obtained. Our new methodology will facilitate and accelerate the discovery of new catalysts for a wide range of heterogeneous redox reactions, where sustainability, toxicity, and cost must be considered.