Matthew J. Patitz
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Also affiliated: U.S. National Science Foundation (2025); Iowa State University (2008–2011); The University of Texas Rio Grande Valley (2014); Rio Grande Bible Institute (2014); J. B. Hunt Transport Services (United States) (2015); Texas A&M University (2011–2019); University of Sheffield (2017)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Matthew J. Patitz's research focuses on theoretical computer science, specifically the abstract tile assembly model and algorithmic self-assembly. His work investigates the fundamental principles of self-assembly, including how hierarchical structures emerge, the role of geometric constraints, and the conditions necessary for self-replication.
Patitz has explored the limitations and powers of geometric hindrance in self-assembly and has published on the strict self-assembly of discrete, self-similar fractals. His research also examines the impact of factors such as dimensionality, diffusion, and directedness on cross-model simulation within tile-based self-assembly systems. He has also studied the necessity of a 'seed' in initiating self-assembly processes and has investigated universal shape replication through self-assembly mechanisms involving signal-passing tiles.
He is a recipient of federal grant funding from the National Science Foundation (NSF), including support for trainee travel to the International Conference on DNA Computing and Molecular Programming and a collaborative research grant focused on algorithmic self-assembly. Patitz has an h-index of 22 and has authored over 140 publications. He collaborates with several researchers at the University of Arkansas at Fayetteville, including Daniel Hader, Andrew Alseth, Phillip Drake, and Tyler Tracy.
Metrics
- h-index: 23
- Publications: 135
- Citations: 1,617
Selected Publications
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Powers and Limitations of Synchronous Self-Assembly: Non-cooperative Assemblies and Limited Synchronization (2026)
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Simulation of the abstract Tile Assembly Model using crisscross slats (extended version) (2026)
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Strict Self-Assembly of Discrete Self-Similar Fractals in the Abstract Tile Assembly Model (2026)
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Synchronous Versus Asynchronous Tile-Based Self-Assembly (2025)
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Self-assembly of patterns in the abstract tile assembly model (2025)
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Simulation of programmable matter systems using active tile-based self-assembly (2025)
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Self-assembly of Patterns in the Abstract Tile Assembly Model (2024)
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Simulation of the Abstract Tile Assembly Model Using Crisscross Slats (2024)
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Universal shape replication via self-assembly with signal-passing tiles (2024)
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Self-replication via tile self-assembly (2024)
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The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2024)
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The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2023)
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The Need for Seed (in the Abstract Tile Assembly Model) (2023)
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Implementing a Theoretician’s Toolkit for Self-Assembly with DNA Components (2023)
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The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly (2023)
Federal Grants 2 $553,690 total
Collaborative Research: FET: Small: Algorithmic Self-Assembly with Crisscross Slats
Collaboration Network
Top Collaborators
- Geometric tiles and powers and limitations of geometric hindrance in self-assembly
- Self-Replication via Tile Self-Assembly
- Fractal Dimension of Assemblies in the Abstract Tile Assembly Model
- Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles
- The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly
Showing 5 of 14 shared publications
- Self-Replication via Tile Self-Assembly
- Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles
- Universal shape replication via self-assembly with signal-passing tiles
- Self-Replication via Tile Self-Assembly (Extended Abstract)
- Replication of Arbitrary Hole-Free Shapes via Self-assembly with Signal-Passing Tiles
Showing 5 of 9 shared publications
- On the effects of hierarchical self-assembly for reducing program-size complexity
- Fractal Dimension of Assemblies in the Abstract Tile Assembly Model
- Self-assembly of Patterns in the Abstract Tile Assembly Model
- Fractal dimension of assemblies in the abstract tile assembly model
- Self-assembly of patterns in the abstract tile assembly model
- Self-assembly of Patterns in the Abstract Tile Assembly Model
- Simulation of the Abstract Tile Assembly Model Using Crisscross Slats
- Self-assembly of patterns in the abstract tile assembly model
- Synchronous Versus Asynchronous Tile-Based Self-Assembly
- Simulation of the abstract Tile Assembly Model using crisscross slats (extended version)
- On the effects of hierarchical self-assembly for reducing program-size complexity
- Simulation of programmable matter systems using active tile-based self-assembly
- Replication of Arbitrary Hole-Free Shapes via Self-assembly with Signal-Passing Tiles
- Synchronous Versus Asynchronous Tile-Based Self-Assembly
- Self-assembly of Patterns in the Abstract Tile Assembly Model
- Self-assembly of patterns in the abstract tile assembly model
- Simulation of programmable matter systems using active tile-based self-assembly
- Simulation of programmable matter systems using active tile-based self-assembly
- Simulation of programmable matter systems using active tile-based self-assembly
- On the effects of hierarchical self-assembly for reducing program-size complexity
- On the effects of hierarchical self-assembly for reducing program-size complexity
- On the effects of hierarchical self-assembly for reducing program-size complexity
- On the effects of hierarchical self-assembly for reducing program-size complexity
- On the effects of hierarchical self-assembly for reducing program-size complexity
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