Marina Alexandra Lyshevski

Nano- and microoptoelectromechanical systems and nanoscale active optics

Significant progress has been made in nano- and microoptoelectromechanical systems (NOEMS and MOEMS) in last years. However, formidable challenges remain and novel design concepts are sought. The technologies has been developed to fabricate MOEMS that integrate nanostructures and nanodevices including mirrors, lenses, magnets, antennas, actuators, etc. We study MOEMS that integrate vertical cavity surface emitting laser (VCSEL), active optoelectromagnetic-active nanostructures (Bragg cells and optoelectromagnetic lenses), radiating energy nanodevices (antennas) and controlling/processing nanoscale integrated circuits (nanoICs). Ideally, this MOEMS should be designed and fabricated utilizing the Microsystem-on-Chip paradigm. This paper focuses on the fundamental problems in synthesis, system-level integration, high-fidelity modeling, heterogeneous simulation, data-intensive analysis and optimization. The results reported significantly contribute to newly emerging microoptosystems that can be used in wireless communication, laser scanners, optical interconnects, etc.

Neuronal Processing, Reconfigurable Neural Networks and Stochastic Computing

-This paper proposes and studies the premise of three-dimensional (3D) reconfigurable vector neural networks (3DVNNs). We research a neurocomputing paradigm to accomplish efficient computing. Our overall objective is to advance engineered (human-devised) processing and computing by developing and applying a theory of massive vector processing in a three-dimensional space. Our neurocomputing paradigm and theoretical advancements contribute to natural computing by enhancing the knowledge on processing in living systems. The proposed developments in the fundamental areas of theoretical computer engineering/science and neuroscience are inspired by natural processing and emerging molecular engineering. Our specific objectives are to: (1) Develop enabling design methods thereby advancing the theory of computing and neuroscience; (2) Establish sound and practical CAD-supported tools to design engineered molecular processing platforms (MPPs); (3) Foster preeminent technology-centric design algorithms. This will allow one to synthesize computing hardware (circuits, processing platforms, etc.) guarantying efficient computing and processing. Our goals are to advance models and principles of computation and to devise-develop-and-demonstrate a sound neurocomputing paradigm supported by a set of highly effective methods, algorithms and tools.

Carbon nanotubes analysis, classification and characterization

Different nanostructures, electronic nanodevices, nanoresonators, nanoswitches and other devices have been devised, designed and fabricated using carbon nanotubes. Carbon nanotubes are among the promising carbon-based solutions that have been attracted a significant attention in last years. This paper examines important problems in carbon nanotubes analysis, classification and characterization using experimental data. In particular, we classify carbon nanotubes as metallic, semimetallic and semiconducting. Using Raman spectroscopy results, carbon nanotubes are characterized. The computationally-efficient, user-friendly and interactive computer-aided design tools in computational nanotechnologies are under the development by microsystems and nanotechnologies company.

Brownian dynamics: molecular systems modeling and control

Control at molecular (nano) scale has been extensively studied emphasizing protein dynamics. Different electro-chemo-mechanical processes have been examined researching biological systems. This paper concentrates the attention on motion of molecular motors. We report the motion dynamics of nanoscale proteins (size in the range of 10 nm). The cornerstone principles of the energy conversion and dynamic motion are based on the multi-degree-of-freedom complementary electrochemomechanical bonding. We enhance the thermal ratchet probability-based concept. This bioinspired concept results in highly nonlinear equations of motion that describe temporal evolution. The studied molecular machines perform transport guaraneeing functionality of living cells. Thermal fluctuations are the major source of energy for these machines. They transport biological materials and ions, build proteins, attain motility of the cell, engaged in actuation and activation, etc. Fluctuation-driven transport is studied applying the Brownian ratchet principle. This concept provides the understanding of how electrochemical energy converted into mechanical energy. The importance of Brownian motion is its versatility in explaining a wide range of biological processes and examining the energy conversion at molecular scale. This paper proposes a realistic molecular control mechanism utilizing the multi-degree-of-freedom complementary electrochemomechanical bonding and considering multi-molecules interactive dynamics.

The Role and Application of Controlled Brownian Dynamics in Neurons and Synthetic Molecular Devices

The Brownian dynamics is examined within the scope of biomolecular electronics, molecular processing and fluidic molecular device physics. With the emphasis on biomimetics to discover novel paradigms, the role of Brownian motion in the cells and fluidic electronic devices is studied. We examine the motion of ions and biomolecules that exhibit directional propagation in stochastic fields. This fundamental concept is utilized to discover and synthesize synthetic molecular electronic devices/modules. The performed research is of a great significance in biomolecular and bio-inspired molecular electronics. In addition to basic results, heterogeneous simulation and data-intensive analysis are carried. We analyze the propagation of information carriers (molecules and ions) in the cells and synthetic molecular devices. The device/module performance is assessed from signal processing viewpoints. The basic theory is developed and verified.

Brownian ionic and neurotransmitter dynamics and its application in nanobioelectronics

This paper proposes to utilize Brownian dynamics in fluidic molecular nanobioelectronics. The analysis of Brownian dynamics is based on highly nonlinear equations of motion which describe a temporal-dynamic evolution. The studied molecules perform transport guaranteeing functionality of envisioned bioinspired electronic nanodevices and systems.

Optoelectromagnetic nanocrystals and microoptoelectromechanical systems

Recently, significant progress has been made in adaptive optics including design of high-performance microoptoelectromechanical systems (MOEMS) with optoelectromagnetically-active nanocrystals. Nanotechnology-enhanced MOEMS is a forefront fundamental technological paradigm for advanced microsystems. This technology promises to advance optics in informatics, communication, computing, imaging, microscopy, diagnostics, scattering, biometrics and other areas. Advanced developments are taking place in devising, fabrication and characterization of novel optoelectromagnetic nanocrystals. However, these nanocrystals must be integrated at the devise/system level fully utilizing systems capabilities. Considered MOEMS include radiating energy devices, light sources, integrated circuits (ICs), etc. Fundamental theory and advanced computing methods must be developed to coherently carry-out synthesis, design and analysis. There is a number of fundamental, applied and technological problems that must be addressed, examined and solved. In particular, formidable challenges remain in design and analysis of nanoscale devices and structures, high-yield affordable fabrication technologies, devising novel topologies, etc. Conventional solutions cannot be effectively applied, and this paper outlines the application of adaptive nonlinear optical nanocrystals integrated in functional optoelectromagnetic MOEMS designed as a nanotechnology-enhanced system-on-a-chip. The focused efforts are concentrated on the utilization of adaptive optoelectromagnetic nanocrystals that can ensure variable-geometry, variable refractive index, and/or variable diffraction grating. These nanocrystals are the most critical components of reconfigurable optical devices. Nanotechnology offers the possibility to make nanocrystals with unprecedented performance, functionality, integrity, reliability and control features leading to high-performance enhanced-functionality adaptive optical devices for MOEMS. However, these MOEMS must be controlled.

Molecular Fluidic Electronics

This paper focuses on high-performance, enhanced-functionality molecular fluidic electronics by developing three-dimensional (3D) synthetic molecular electronic devices/modules for neural circuits. We mimic 3D neurobiological topologies documenting that artificial signal processing platforms can be designed within 3D organization/architecture prototyping biological information processing platforms. Motivated by biological-centered hypothesis that neuron is a processing module which processes and stores information, we propose a synthetic molecular electronic device/module. This device mimics brain neurons and cultured neurons can be utilized to synthesize 3D signal processing platforms.

Control of stochastic systems and molecular fluidic electronic devices

We formulate and solve the control problem for stochastic nonlinear systems. The Lyapunov stability theory is applied to study the stability of closed-loop systems. The stabilizing controllers are designed using the information-theoretic approach. The results reported are applied to design control laws for an envisioned fluidic molecular electronic devices. By mimicking the brain neuron, we study the controlled propagation of Brownian particles (molecules) under the thermal, hydrodynamic, electrostatic and electromagnetic forces. The molecules are the information carriers in the fluidic gap junctions (cavity) of the considered molecular electronic devices. The molecule motion (evolution) and dynamics, which is described by the nonlinear stochastic differential equations, are controlled. The fundamental, analytical and numerical results are reported

Analysis of DNA electronic nanodevices

We examine DNA-centered transistors (DNA/sup T/ ) as electronic nanodevices. In particular, the channel is formed using guanine DNA derivative. With the ultimate goal to design and analyze functional high-performance electronic nanobiodevices, in this paper, we comprehend basic phenomena and effects in bioelectronic devices. Though our motivation is to utilize biomolecules as electronic devices, the examined DNA/sup T/ serves a proving platform for possible implementation of nitrogenous bases in molecular electronics. Electronic behavior and l-V characteristics of DNA/sup T/ are studied.