Matthew J. Patitz Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Associate Professor

University of Arkansas

Last publication 2026 Last refreshed 2026-05-22

faculty

22 h-index 140 pubs 1,585 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Matthew J. Patitz's research focuses on theoretical computer science, specifically algorithmic self-assembly and the abstract Tile Assembly Model (TAM).

His work investigates the fundamental principles governing how simple components can assemble into complex structures. This includes exploring the geometric constraints, dimensionality, and signaling mechanisms that influence self-assembly processes. Patitz has published on topics such as hierarchical self-assembly for reducing program-size complexity, geometric tiling, self-replication via tile assembly, and the need for seeds in abstract assembly models. He has also studied universal shape replication using signal-passing tiles and the impacts of dimensionality, diffusion, and directedness on cross-model simulation in tile-based self-assembly.

Patitz leads a research group at the University of Arkansas at Fayetteville and has a significant publication record, with 140 total publications and an h-index of 22, accumulating over 1,570 citations. He has served as PI on federal grants, including a $533,690 NSF grant for "Collaborative Research: FET: Small: Algorithmic Self-Assembly with Crisscross Slats." His collaborations include work with Daniel Hader, Andrew Alseth, Phillip Drake, and Tyler Tracy, all at the University of Arkansas at Fayetteville.

Metrics

h-index: 22
Publications: 140
Citations: 1,585

Selected Publications

Simulation of the abstract Tile Assembly Model using crisscross slats (extended version) (2026)

DOI OpenAlex
Synchronous Versus Asynchronous Tile-Based Self-Assembly (2025)

DOI OpenAlex
Self-assembly of patterns in the abstract tile assembly model (2025)

DOI OpenAlex
Simulation of programmable matter systems using active tile-based self-assembly (2025)

DOI OpenAlex
Self-assembly of Patterns in the Abstract Tile Assembly Model (2024)

2 citations DOI OpenAlex
Simulation of the Abstract Tile Assembly Model Using Crisscross Slats (2024)

DOI OpenAlex
Universal shape replication via self-assembly with signal-passing tiles (2024)

1 citation DOI OpenAlex
Self-replication via tile self-assembly (2024)

DOI OpenAlex
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2024)

DOI OpenAlex
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2023)

1 citation DOI OpenAlex
The Need for Seed (in the Abstract Tile Assembly Model) (2023)

DOI OpenAlex
Implementing a Theoretician’s Toolkit for Self-Assembly with DNA Components (2023)

DOI OpenAlex
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2023)

2 citations DOI OpenAlex
Fractal dimension of assemblies in the abstract tile assembly model (2023)

1 citation DOI OpenAlex
The Need for Seed (in the abstract Tile Assembly Model) (2023)

DOI OpenAlex