Visualizing Catalyst Materials with Multi-Material 3D Printing

Authors

DOI:

https://doi.org/10.18260/2-1-370.660-140137

Abstract

Understanding the 3D structures of materials is central to catalysis education. Here, we present a practical workflow with examples for generating 3D printable models of atomic catalyst structures using multi-material systems and open-source software to enable broad adoption. We demonstrate how printed models can represent features such as internal porosity, surface terminations, and alloying. The resulting models are valuable for both classroom instruction and research communication.

Author Biographies

Tristan Maxson, University of Alabama, United States

Tristan Maxson is a PhD Candidate in the Department of Chemical and Biochemical Engineering at the University of Alabama. His research focuses on computational methods for studying catalyst materials using machine learning interatomic potentials. He was also awarded the Outstanding Graduate Student in Teaching award at Ball State University while completing his Master’s in Chemistry. ORCID: 0000-0002-7668-8986.

Tibor Szilvási, University of Alabama, United States

Tibor Szilvási, PhD, is an Assistant Professor in the Department of Chemical and Biochemical Engineering at the University of Alabama. He has taught undergraduate and graduate level thermodynamics for five years and was awarded the Outstanding Professor Award for teaching excellence by the undergraduate student body of his department. His research group develops computational methods and protocols for material/catalyst design with a focus on machine learning interatomic potentials. ORCID: 0000-0002-4218-1570.

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Published

2026-08-25

Issue

Ahead of Print (Articles ASAP)

Section

Manuscripts