Matthew J. Patitz Source Confirmed

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

Federal Grant PI High Impact

Associate Professor

University of Arkansas at Fayetteville

faculty

22 h-index 139 pubs 1,570 cited

Research Areas

Algorithmic Self-Assembly Tile Assembly Model Self-Replication Fractal Geometry Computational Complexity Computer Science Theory Nanoparticles: synthesis and applications

Links

ORCID Research Group

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OverviewAI-generated summary

Matthew J. Patitz's research centers on the principles and applications of algorithmic self-assembly, particularly within the abstract Tile Assembly Model. His work investigates how hierarchical self-assembly can reduce program-size complexity and explores the capabilities and limitations of geometric hindrance in self-assembly processes. Patitz has published on topics including self-replication via tile self-assembly, the strict self-assembly of discrete self-similar fractals, and the assembly of patterns in abstract tile systems.

His research also examines the influence of dimensionality, diffusion, and directedness on intrinsic cross-model simulation in tile-based self-assembly. Patitz has received federal funding for his investigations into algorithmic self-assembly, including a significant grant from the National Science Foundation (NSF) for collaborative research on "Algorithmic Self-Assembly with Crisscross Slats." He leads a research group at the University of Arkansas at Fayetteville and collaborates with colleagues including Daniel Hader, Andrew Alseth, Phillip Drake, and Tyler Tracy, with whom he has co-authored multiple publications.

Patitz's scholarly contributions are reflected in his h-index of 22 and over 1,570 total citations across his more than 130 publications. He is recognized as a high-impact, highly cited researcher and a principal investigator on federal grants.

Metrics

h-index: 22
Publications: 139
Citations: 1,570

Selected Publications

Simulation of the abstract Tile Assembly Model using crisscross slats (extended version) (2026) DOI
Synchronous Versus Asynchronous Tile-Based Self-Assembly (2025) DOI
Self-assembly of patterns in the abstract tile assembly model (2025) DOI
Simulation of programmable matter systems using active tile-based self-assembly (2025) DOI
Self-assembly of Patterns in the Abstract Tile Assembly Model (2024) DOI
Simulation of the Abstract Tile Assembly Model Using Crisscross Slats (2024) DOI
Universal shape replication via self-assembly with signal-passing tiles (2024) DOI
Self-replication via tile self-assembly (2024) DOI
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2024) DOI
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2023) DOI
The Need for Seed (in the Abstract Tile Assembly Model) (2023) DOI
Implementing a Theoretician’s Toolkit for Self-Assembly with DNA Components (2023) DOI
The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2023) DOI
Fractal dimension of assemblies in the abstract tile assembly model (2023) DOI
The Need for Seed (in the abstract Tile Assembly Model) (2023) DOI

Federal Grants 1 $533,690 total

NSF PI

Collaborative Research: FET: Small: Algorithmic Self-Assembly with Crisscross Slats

FET-Fndtns of Emerging Tech, EPSCoR Co-Funding $533,690

Collaborators

Researchers in the database who share publications

Daniel Hader University of Arkansas at Fayetteville 17 shared publications Andrew Alseth University of Arkansas at Fayetteville 12 shared publications Phillip Drake University of Arkansas at Fayetteville 6 shared publications Tyler Tracy University of Arkansas at Fayetteville 3 shared publications Trent A. Rogers University of Arkansas at Fayetteville 2 shared publications John Calvin Alumbaugh University of Arkansas at Fayetteville 1 shared publication