1 citations · 1 across the 10 of their papers we have counts for
11 papers
A Schema Bounded Language Model for Refining Robot Policies Without Destabilizing Local Learning
Chongwen Dong, Mithun Paul Saint-Germain, Pinjari Asif +1
This paper addresses navigation by composite heterogeneous robots in a decentralized system when policy reasoning and local control operate at different update levels. In a NetLogo…
Petri Net Description of Biological Neural Circuits for Fast Hardware Prototyping
Carlo daCunha, Rodrigo Pena, Marcos Turqueti
Current approaches to simulating biological neural circuits, whether on general-purpose hardware or dedicated neuromorphic platforms, remain constrained by fixed-timestep numerical…
Evolved Collectives Combine Complex Internal Representations with Simple Outputs
Guilherme S. Y. Giardini, John F. Hardy, Carlo daCunha
Collective intelligence emerges from local interactions among agents with limited information, yet how internal controller organization relates to emergent collective order remains…
Using Preformed Resistive Random Access Memory to Create a Strong Physically Unclonable Function
Jack Garrard, John F. Hardy, Carlo daCunha +1
Physically Unclonable Functions (PUFs) are a promising solution for identity verification and asymmetric encryption. In this paper, a new Resistive Random Access Memory (ReRAM) PUF…
Impact of Switching Layer Architecture on Power Consumption in RRAM
John F. Hardy, Jack A. Garrard, Guilherme S. Y. Giardini +1
This work demonstrates that porous helical WOx architectures enable a distinct low-power regime for planar ITO/WOx/ITO resistive random-access devices. While thin film and helical…
Thermodynamics of Innovation: A Statistical Mechanics Framework of Social Adoption
Guilherme S. Y. Giardini, Carlo R. daCunha
We develop a thermodynamic framework for modeling innovation adoption and abandonment dynamics using statistical mechanics. Starting from a mathematical model for an adoption distr…
Evolving Neural Networks Reveal Emergent Collective Behavior from Minimal Agent Interactions
Guilherme S. Y. Giardini, John F. Hardy, Carlo R. da Cunha
Understanding the mechanisms behind emergent behaviors in multi-agent systems is critical for advancing fields such as swarm robotics and artificial intelligence. In this study, we…
Optimizing the Optical Properties of Tin Oxide Aerogels through Defect Passivation
John F. Hardy, Madison King, Stephanie Hurst +1
Tin oxide aerogels were synthesized using an epoxide-assisted technique and characterized with Fourier transform infrared, X-ray diffraction, and UV-Vis to study the effects of pos…
Chain Reaction of Ideas: Can Radioactive Decay Predict Technological Innovation?
Guilherme S. Y. Giardini, Carlo R. da Cunha
This work demonstrates the application of a birth-death Markov process, inspired by radioactive decay, to capture the dynamics of innovation processes. Leveraging the Bass diffusio…
Velocities of Mesenchymal Cells May be Ill-Defined
Guilherme S. Y. Giardini, Gilberto L. Thomas, Carlo R. da Cunha +1
The dynamics of single cell migration on flat surfaces is usually modeled by a Langevin-like problem consisting of ballistic motion for short periods and random walk. for long peri…
Machine Learning Methods for Background Potential Estimation in 2DEGs
Carlo da Cunha, Nobuyuki Aoki, David Ferry +2
In the realm of quantum-effect devices and materials, two-dimensional electron gases (2DEGs) stand as fundamental structures that promise transformative technologies. However, the…