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Analysis method and computational solutions for thermo-and electrostatics effects of slender bodies often using multi-scale modeling, molecular dynamic simulation and data visualization technique. In the present work, we conduct a review of applying analytical methods such as BEM and FEM and molecular dynamics and computational methodologies to model the thermal and electrostatics effects on the slender...
A faculty team from Electrical and Computer Engineering, Biology and Physics have developed three 300-level general education lecture courses in nanotechnology and a 400/500-level supporting laboratory with NSF support. This paper focuses on one of these courses: ECE/SCI 383U Nanotechnology: Simulation and Design. The course is open to science/engineering majors and students from non-technical fields...
With the increasing interest in high-performance computing, mobile/wearable computing, bio-electronics, energy harvesting, a wide range of new devices are being developed and integrated with traditional CMOS devices. To validate the circuit/system performance and variability, compact models and variability analysis techniques are highly demanded. This session presents four papers describing compact...
Memristor being a fourth fundamental passive electrical circuit element in nanoscale technology has gained a great interest in the new era of semiconductor technology. The memristor with its special property of nonvolatility, low power consumption, small size and improved scalability has captured interest in many applications from digital logic circuits to neuromorphic computing. This paper will discuss...
Cytomimetic circuits represent a novel, ultra low-power, continuous-time, continuous-value class of circuits, capable of mapping on silicon cellular and molecular dynamics modelled by means of nonlinear ordinary differential equations (ODEs). Such monolithic circuits are in principle able to emulate on chip, single or multiple cell operations in a highly parallel fashion. Cytomimetic topologies can...
Ontologies are core elements of numerous applications that are based on computer-processable expert knowledge. They can be used to estimate the Information Content (IC) of the key concepts of a domain: a central notion on which depend various ontology-driven analyses, e.g. semantic measures. This paper proposes new IC models based on the belief functions theoretical framework. These models overcome...
A SystemC Multi-Domain Virtual Prototype (MDVP) framework provides multi-domain system integration of multi-electrode neural interface and a fast validation time, offering more efficient design process. In this paper, we propose efficient neuron cell, neuron tissue, and multi-channel neural interface front-end models implemented in a SystemC MDVP framework, which supports chemical, biological, and...
We recently demonstrated that it is possible to model and to simulate biological functions using hardware description languages (and associated simulators) traditionally used for micro-electronics. The main drawback of these languages is that they do not support partial differential equations. However, for several applications in biology, space-dependent quantities are unavoidable. This paper deals...
The accuracy of high-frequency models of passive RF devices, e.g., inductors or transformers, presents one of the most challenging problems for RF integrated circuits. Accuracy limitations lead RF designers to time-consuming iterations with electromagnetic simulators. This paper will explore and compare two advanced modeling techniques. The first one is based on the segmented model approach, in which...
In magnetic tunnel junctions specifically designed to be super-paramagnetic (S-MTJs), thermal noise induces stochastic switching between the parallel and anti-parallel states (Figure 1) [1]. As a consequence, they behave like stochastic oscillators, oscillating with non-constant period but with a well-defined average frequency. Although such junctions cannot be used for conventional memory applications,...
Intro: Computer network defense has models for attacks and incidents comprised of multiple attacks after the fact. However, we lack an evidence-based model the likelihood and intensity of attacks and incidents. Purpose: We propose a model of global capability advancement, the adversarial capability chain (ACC), to fit this need. The model enables cyber risk analysis to better understand the costs...
This paper describes the development of molecular computing in an historical setting. Based on the idea that basic biochemical property of deoxyribonucleic acid (DNA) molecule can be employed to solve Nondeterministic Polynomial Time (NP) problem, several remarkable models and algorithms are proposed for solving complex combinatorial problems. The development is not limited to that; it extends up...
In Photo-Voltaic (PV) systems to increase the conversion efficiency, efficient converters and efficient PWM switching circuits are required. To design efficient converters and PWM switching circuits mathematical models are necessary. In the proposed study, the mathematical model for photovoltaic cell and for buck-boost converter is developed. In the mathematical model, the parasitic elements of switch,...
In this work some basic characteristics of electrical distribution feeders such as its architecture, model, advantage and mainly the problem presented by induced over-voltages on overhead lines due to indirect lightning, is presented. As relevant data, two ways of modeling a distribution feeder JMarti and Pi models are described. Which allow analyzing and obtaining values approximate a real distribution...
This paper presents an event-driven method for the simulation of the tempotron spiking neuron. We propose an efficient dummy-spike-based approach to deal with the two-exponential decay postsynaptic potential kernel. Experimental results show that event-driven simulation runs much faster than conventional time-driven simulation. We also propose a simple but efficient method to solve a same-timestamp...
The applications of infection models like the Linear Threshold or the Domingos-Richardson model requires a graph weighted with infection probabilities. In many real-life applications these probabilities are unknown; therefore a systematic method for the estimation of these probabilities is required. One of the methods proposed to solve this problem, the Inverse Infection Model, was originally formulated...
We report on our development of a Silicon Carbide Power System Computer Aided Design Tool to address the need for improved methodologies for developing next generation high efficiency power electronics using Silicon Carbide power devices. The first major achievement is to develop compact models for SiC power MOSFETs and to input these models into CoolCAD's SPICE-type simulator, CoolSPICE (the student...
Mitogen activated protein kinase (MAPK) signaling pathways are frequently deregulated in human cancers with potential involvement in most if not all cellular processes leading to tumorigenesis. Mathematical/computational models of MAPK signaling are indispensable to the study of pathway deregulation dynamics and their nonlinear effects on cell fate and carcinogenesis. A finite state machine model...
Dexterous arm reaching movements are a critical feature that allow human interactions with tools, the environment, and socially with others. Thus the development of a neural architecture providing unified mechanisms for actual, mental, observed and imitated actions could enhance robot performance, enhance human-robot social interactions, and inform specific human brain processes. Here we present a...
Within the context of the electrical circuit modeling of batteries, this paper proposes an improvement of the most common electric equivalent circuit used for Lithium cells. The main improvement is based on the modeling of the so-called charge redistribution phenomenon that characterizes the dynamic voltage during charging/discharging and relaxation phases. In particular, the aim of the paper is to...
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