George Mason University – TechConnect Briefs

Monte Carlo simulation of the energetics and thermodynamics of polypyrrole in condensed phases

Helmick G., Abere Y., Blaisten-Barojas E., George Mason University, US

Polypyrrole (PPy) is a conducting polymer with a wide range of applications such as supercapacitors, sensors, batteries, actuators, and neural prosthetics. PPy is a popular polymer in experimentation not so easily accessed in computational modeling [...]

Distinctive thermoresponsive behavior of smart polymers solvated in glycerol from Molecular Dynamics

Hopkins S.D., Blaisten-Barojas E., George Mason University, US

Thermoresponsive polymers have been utilized in a broad range of medical and industrial applications as smart materials, including controlled drug delivery, and water treatment and desalination. While the behavior of such polymers has been modeled [...]

Magnetization of hydrogel particles: a novel urine tuberculosis antigen test

Paris L., Cox A., Petricoin E., Liotta L., Luchini A., George Mason University, US

This study aims at developing a nanotechnology-based screening test that would reliably detect early stage tuberculosis (TB) infection and discriminate active from latent infections. The use of urine in TB testing has been hampered by [...]

Applications of Memristor Crossbars for Pattern Recognition and Robotics

Mouttet B., George Mason University, US

The presentation will cover applications that I am developing for nanoscale hysteretic resistance materials (i.e. memristors) in pattern recognition circuitry as well as potential applications in robotics and artificial intelligence. Topics will include discussion of [...]

Logicless Computational Architectures with Nanoscale Crossbar Arrays

Mouttet B., George Mason University, US

Modern computational architectures are reliant on basic logic circuits carrying out Boolean operations such as AND, OR, XOR, etc. Recently efforts have been made to replicate the functions of such logic circuits using various nanoelectronic [...]

Structural Optimization of Nanoclusters with Adaptive Tempering Monte Carlo Method

Dong X., Blaisten-Barojas E., George Mason University, US

The Adaptive Tempering Monte Carlo (ATMC) method was proposed for the optimization of nanosystems. In the simulation, tempering is applied such that the temperature of the system is changed adaptively such that a multitude of [...]