In this talk, the incipient plasticity in metals and domain switching behavior in ferroelectric materials will be discussed from an instability framework to demonstrate these differences in deformation characteristics. The discussion is based on experimental observations and molecular dynamics (MD) simulations. The complexity in the mathematical modeling of such systems will be highlighted. Possibility of changing the occurrence of the deformation events from ordered to random by introducing appropriate external conditions will also be discussed.
Bio: Dr. Ajit Achuthan is an Assistant Professor at Clarkson University in the Department of Mechanical and Aeronautical Engineering. Dr. Achuthan received his PhD from Purdue University. Prior to joining Clarkson University he worked at GE Research Center.
Prof. Paul J. G. Goulet
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Synthesis, Characterization, and Application of Noble Metal Nanoparticles
Nanoparticles of gold, silver, platinum, and palladium are central materials in nanoscience and nanotechnology, with applications in a large number of areas including sensing, electronics, labeling, catalysis, medical therapy, diagnostics, and drug delivery. Along with relatively high nobility, they display remarkable physical, chemical, optical, and electronic properties that arise specifically from their nano dimensions. These properties can be readily tailored through changes in the size, shape, composition, aggregation, and chemical functionalization of the particles.
The unique optical properties of Au and Ag nanomaterials are of particular interest. Au and Ag nanoparticles sustain strong localized surface plasmon resonances (LSPR) when excited with visible and near infrared light. These resonances are the result of the collective oscillation of conduction electrons in the particles, and are highly sensitive to changes in adsorption and particle aggregation, which, respectively, provide the bases for LSPR and colorimetric sensing. LSPR resonances also lead to intense, highly-localized heating of the particles (the basis for plasmonic phototherapy), and huge enhancements of electromagnetic fields near the surface of particles (the basis for surface-enhanced photoprocesses including surface-enhanced Raman scattering).In this talk, the results of several projects on the synthesis, characterization, and application of noble metal nanoparticles will be presented. Specific topics that will be discussed include: mechanistic studies of the synthesis of thiolate-protected noble metal nanoparticles; oxidation of Au and Pt nanoparticles; thermal decomposition of tetraalkylammonium metal complexes; nanoparticle phase-transfer; surface-enhanced spectroscopy, and the synthesis of hybrid plasmonic nanoparticles
Percolation Modeling of Self-Damaging of Composite Materials
We propose the concept of autonomous self-damaging in "smart" composite materials, controlled by activation of added nanosize "damaging" capsules. Percolation-type modeling approach earlier applied to the related concept of self-healing materials, is used to investigate the behavior of the initial material's fatigue. We aim at achieving a relatively sharp drop in the material's integrity after some initial limited fatigue develops in the course of the sample's usage.
Our theoretical study considers a two-dimensional lattice model and involves Monte Carlo simulations of the connectivity and conductance in the high-connectivity regime of percolation. We give several examples of local capsule-lattice and capsule-capsule activation rules and show that the desired self-damaging property can only be obtained with rather sophisticated "smart" material's response involving not just damaging but also healing capsules.
A Systems Biology Approach to Building a Skeletogenic Gene Regulatory Network (GRN)
Our research is in the novel area of Regenerative Medicine and Stem Cell Biology with a focus on the molecular mechanisms controlling vertebral column development and an emphasis on early embryogenesis and embryonic stem cell commitment to specific differentiation pathways, but from a novel Systems Biology point of view. We are commited to understanding how the vertebral column degenerates with aging, and how this process can be reversed using stem cell based approaches. In particular we are working on understanding the gene regulatory networks (GRNs) that govern normal embryonic development of the vertebral column and intervertebral disc (IVD). We are investigating the role of transcriptional regulators in the restriction of pluripotent embryonic stem cells into specific lineages that in turn comprise functional pre and postnatal vertebral elements with the goal of applying this knowledge in regenerative medicine using patient‐specific induced pluripotent stem (iPS) cells and adult mesenchymal stem cells.
Given a finite graph G with adjacency matrix A, a continuous-time quantum walk on G is given by the unitary matrix U(t) = exp(-itA), where t is a time parameter. We say that G has "pretty good state transfer" from vertex u to vertex v if the magnitude of the (u,v)-entry of U(t) can be made arbitrarily close to one. This notion is motivated by problems in quantum information. In this talk, we survey basic questions and recent results related to state transfer on graphs.
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Electro-Thermal Simulations of Semiconductor Integrated Circuit Structure
As the integrated circuit (IC) density in semiconductor chips increases aggressively in recent years, the power density in the chips is substantially enhanced. This results in temperature escalation and formation of hot spots in the chips and leads to severe performance and reliability degradation. Heating has therefore been recognized as one of the major obstacles in developing emerging semiconductor technologies, including 3D stacked IC’s. To understand and minimize the heating effects and to take into account these effects in IC design, capability of predicting thermal profiles and hot spots in semiconductor chips is essential. Capture of the hot spots in these structures however requires detailed numerical solution that is in general prohibitive for large IC structures.
In this talk, two different thermal modeling methods for different levels of IC design will be presented. These methods provide efficient approaches to capture hot spots accurately. The first model is based on the concept of characteristic thermal length to account for heat losses and thermal couplings for heat flow along wires and fins. This physics-based thermal model has been applied to different semiconductor device and circuit structures, including SOI MOSFETs and FinFETs. Electro-thermal simulations for some analog CMOS ICs will also be presented. The second model is based on a reduced order modeling technique using proper orthogonal decomposition (POD). The approach projects the problem onto a functional space in order to reduce the numerical degrees of freedom. The POD model has been applied to 3D metal-wire and FinFET structures subjected to power pulses initiated by digital signals. It has been demonstrated that the POD model offers accurate thermal solution as detailed as numerical simulation and is able to reduce numerical degrees of freedom by 5 to 6 orders of magnitude in 3D structure. Application of a block-based approach using the POD model for large IC structure will also be discussed.
Department of Physics
Department of Chemistry & Biomolecular Science
Time: 3:30 PM
Location: B.H. Snell 214
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Future Microsystems for Information Processing: Limits and Lessons from the Living Systems
The presentation will address the impact of the physics of extremely scaled information processing devices and systems, with a focus on energy minimization. The fundamental limiting factors for electronic information processors are: 1) the tunneling limit on the minimal size due to small mass of electrons, 2) excessive energy consumption in metal wires used for rigid interconnect systems, and 3) heat generation in a small volume. There are also proposals for alternative future information processing technologies based on information carriers other than electrons, however the potential for using them in future ICT systems remains unclear.
In the second part of the presentation, entirely new information processing concepts are discussed based on learning from examples in nature, specifically, the individual living cell will be considered in the context of information processing. In the paper, a bacterial cell, such as E.coli of about one cubic micrometer volume is shown to be a very efficient and powerful information processor, far surpassing conceivable performance in the same volume by an ultimately scaled semiconductor system. Advances in the science of synthetic biology are beginning to suggest possible pathways for future information processing technologies. It might be possible that some of the physical limits faced by semiconductor technology may in fact be overcome by borrowing from synthetic biology principles.
Friday, October 4th, 2013
Time: 3:30 PM
Location: B.H. Snell 177
Speaker: Prof. Jan Scrimgeour
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Probing Macromolecule Dynamics in Complex Biological Systems
Single molecule fluorescence microscopy, with the ability to track molecules and particles in space with 1 nm precision and millisecond time resolution, has significantly enhanced our understanding of the mechanics of biomolecule function. This has been particularly true in in vitro experiments where molecular complexes are well isolated and their environment is very well controlled. The goal of my research is to probe biomolecule interactions in their native, crowded and complex surroundings using "light-sheet" excitation techniques that allow high contrast fluorescence imaging in samples like tissue and small organisms. My talk will discuss the application of advanced optical microscopy for the visualization and characterization of nanostructured biological interfaces. Specifically the pericelluar coat, a nanostructured polymer brush performs many important functions at scales ranging from the single cell to whole tissues, by controlling access to the cell surface, acting as a filter and store for proteins, and plays an active role in controlling tissue-immune system interactions.
Friday, September 27, 2013
Time: 3:30 PM
Location: B.H. Snell 177
Speaker: Prof. Michael Ramsdell
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Using Pre-College Readiness Surveys as an Evidence-Base for Curriculum Modifications to Support Retention
To provide high level focus on curricular issues related to retention and academic success the First Year Council has used the Mathematics Readiness Survey (MRS), in conjunction with the Force Concepts Inventory (FCI), to develop a more precise predictor of STEM-readiness and likely persistence. An independent retention study done for Clarkson by consultants Noel-Levitz in 2011 determined that the strongest single predictor of persistence is the MRS while the best five parameter model included both the MRS and Math SAT scores, and our own studies demonstrate that the combined MRS-FCI data provides an excellent two-parameter predictor for success. Based on that analyses which highlighted the importance of foundational math and science skills, we made curriculum modifications to support our students in building that foundation. Preliminary analyses of the first two years results will be discussed in terms of students’ retention, persistence and academic performance.
Graduate programs in signature areas of strength enhance our primary mission and provide excellent opportunities for graduate students and undergraduate students to participate in faculty-mentored research and professional opportunities.