Identification of an Unreported Structure Type in GdNiSn4 and Its Implications for Materials Prediction

TL;DR

This paper reports the discovery of a new crystal structure type in GdNiSn4 through traditional methods, analyzes its features, tests AI prediction capabilities, and discusses implications for materials discovery and magnetic properties.

Contribution

It introduces a previously unreported structure type in GdNiSn4, evaluates AI prediction failures, and proposes strategies to enhance AI-guided materials discovery.

Findings

New structure type identified in GdNiSn4

AI models failed to predict the structure correctly

GdNiSn4 exhibits complex magnetic properties

Abstract

Crystal structures define how matter is organized at the atomic level. In the realm of crystalline inorganic materials, new structure types are rarely found, and most experimentally-realized structural motifs were established decades ago. Considerable efforts are underway to discover new crystalline inorganic compounds, often aided by artificial intelligence (AI). However, thus far, these methods have not yielded convincing new structure types, but rather substitutional variations of existing compounds. Here we introduce a new structure type adopted by the compound GdNiSn4, discovered the old-fashioned way. We test whether current state-of-the-art AI-based material generation models can predict this material in its correct structure and find that they fail to do so. We carefully analyze the new structure and argue that it can be viewed as a stack of two known structure types. We explore electronic and steric factors underlying its stability and propose strategies to improve future AI-guided materials discovery. Furthermore, we report complex magnetic properties in GdNiSn4, highlighting its potential interest for future studies of unconventional magnetism.