Faculty

Institution

Unit

Venue

Matthew Patitz

Associate Professor

University of Arkansas

Affiliations

College of Engineering

Computer Science and Computer Engineering

Matthew Patitz is currently serving as a College Of Engineering Associate Professor at University of Arkansas.

Honors

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Experiences

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Education

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Matthew Patitz

University of Arkansas

Associate Professor

You can click a keyword to filter the displayed items

computer science self-assembly applied mathematics natural computing systems engineering computer engineering theoretical computer science theory of computation modeling and simulation machine learning computability theory signal-passing tiles tile assembly model hierarchical self-assembly tile self-assembly computational geometry logic in computer science turing machine intrinsic universality geometric tiles tile assembly system self-assembling polygonal tiles continuous space simulation powers arbitrary shapes ubiquitous computing cooperation numerical simulations complexity theory computational learning theory theoretical analysis large-scale simulations foldable structure self-organization domain-specific languages equivalence checking complexity reduction supramolecular assemblies protein assembly rna biology system identification next generation computing constant factors single universal tile fuel efficient computation efficient assembly asynchronous signal passing technology computational theory dna computing bio-inspired computation design computational paradigm self-assembling systems computational complexity computational science system science cellular automaton molecular programming self-organizing systems design automation

Notable Scholarly Works

Notable Federal Grants

Collaborators

Self-Replication via Tile Self-Assembly. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computingtile self-assemblymaterials science

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

Daniel HaderMatthew J. Patitz

tile-based self-assemblyself-assemblycomputational mechanicsintrinsic cross-model simulationengineeringmodeling and simulationapplied physicsmaterials science

Universal Shape Replication via Self-Assembly With Signal-Passing Tiles. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinguniversal shape replicationsignal-passing tiles

Fractal Dimension of Assemblies in the Abstract Tile Assembly Model. Natural Computing (2023)

Daniel HaderMatthew J. PatitzScott M. Summers

computer sciencefractal dimensionnatural computingnatural language processingapplied mathematics

The Need for Seed (in the Abstract Tile Assembly Model). Algorithmica (2023)

Andrew AlsethMatthew J. Patitz

applied mathematics

Replication of Arbitrary Hole-Free Shapes via Self-Assembly With Signal-Passing Tiles. New Generation Computing (2022)

Andrew AlsethJacob HendricksMatthew J. PatitzTrent A. Rogers

computer scienceself-assemblyarbitrary hole-free shapesreplicationsignal-passing tilesnext generation computing

Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly. Natural Computing (2021)

Daniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinggeometric tilesgeometric hindrance

On the Effects of Hierarchical Self-Assembly for Reducing Program-Size Complexity. Theoretical Computer Science (2021)

Sarah CannonErik D. DemaineMartin L. DemaineSarah EisenstatDavid FurcyMatthew J. PatitzRobert SchwellerScott M. SummersAndrew Winslow

computer sciencesystems engineeringprogram-size complexitycomplexity reductiontheoretical computer sciencehierarchical self-assembly

Self-Replication via Tile Self-Assembly (Extended Abstract). arXiv (Cornell University) (2021)

Andrew AlsethDaniel HaderMatthew J. Patitz

self-assemblyapplied mathematicsmaterials science

Machine Learning to Identify Variables in Thermodynamically Small Systems. Computers & Chemical Engineering (2020)

David M. FordAditya DendukuriGülce KalyoncuKhoa LuuMatthew J. Patitz

computer sciencesystems engineeringchemical engineeringthermodynamicssystem identificationmachine learning

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Matthew Patitz

Associate Professor

University of Arkansas

Affiliations

College of Engineering

Computer Science and Computer Engineering

Matthew Patitz is currently serving as a College Of Engineering Associate Professor at University of Arkansas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Matthew Patitz

University of Arkansas

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Self-Replication via Tile Self-Assembly. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computingtile self-assemblymaterials science

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

Daniel HaderMatthew J. Patitz

tile-based self-assemblyself-assemblycomputational mechanicsintrinsic cross-model simulationengineeringmodeling and simulationapplied physicsmaterials science

Universal Shape Replication via Self-Assembly With Signal-Passing Tiles. Natural Computing (2024)

Andrew AlsethDaniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinguniversal shape replicationsignal-passing tiles

Fractal Dimension of Assemblies in the Abstract Tile Assembly Model. Natural Computing (2023)

Daniel HaderMatthew J. PatitzScott M. Summers

computer sciencefractal dimensionnatural computingnatural language processingapplied mathematics

The Need for Seed (in the Abstract Tile Assembly Model). Algorithmica (2023)

Andrew AlsethMatthew J. Patitz

applied mathematics

Replication of Arbitrary Hole-Free Shapes via Self-Assembly With Signal-Passing Tiles. New Generation Computing (2022)

Andrew AlsethJacob HendricksMatthew J. PatitzTrent A. Rogers

computer scienceself-assemblyarbitrary hole-free shapesreplicationsignal-passing tilesnext generation computing

Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly. Natural Computing (2021)

Daniel HaderMatthew J. Patitz

computer scienceself-assemblynatural computinggeometric tilesgeometric hindrance

On the Effects of Hierarchical Self-Assembly for Reducing Program-Size Complexity. Theoretical Computer Science (2021)

Sarah CannonErik D. DemaineMartin L. DemaineSarah EisenstatDavid FurcyMatthew J. PatitzRobert SchwellerScott M. SummersAndrew Winslow

computer sciencesystems engineeringprogram-size complexitycomplexity reductiontheoretical computer sciencehierarchical self-assembly

Self-Replication via Tile Self-Assembly (Extended Abstract). arXiv (Cornell University) (2021)

Andrew AlsethDaniel HaderMatthew J. Patitz

self-assemblyapplied mathematicsmaterials science

Machine Learning to Identify Variables in Thermodynamically Small Systems. Computers & Chemical Engineering (2020)

David M. FordAditya DendukuriGülce KalyoncuKhoa LuuMatthew J. Patitz

computer sciencesystems engineeringchemical engineeringthermodynamicssystem identificationmachine learning

1
2
3
4
5
6
10 / page

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Similar Faculty Members

Pat Parkerson

Institution

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design automation

complex system

David Doty

Institution

University of California, Davis

nanotechnology

dna computing

Ivan Sudborough

Institution

University of Texas at Dallas

automaton network

information security

Oscar H. Ibarra

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network science

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Danny Ziyi Chen

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radiology

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Fernando Lima

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scientific computing

geometric modeling

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