Author: Orlando E

New technology from Prof. Thanh Nguyen published in Science

The latest issue of Science features a new technology invented and developed by our very own assistant professor Dr. Thanh D. Nguyen. Prof. Nguyen’s brainchild, developed during his postdoc with Prof. Robert Langer at MIT, offers the latest advance in 3D manufacturing for microstructures of biomaterials: StampEd Assembly of polymer Layers, or SEAL for short. The reliance of current 3D printing techniques on potentially toxic impurities (e.g. UV-curing agents) for formulating printable inks poses clear problems for bio and medical applications. SEAL, on the other hand, can create nearly any 3D micro-objects of pure biopolymers (e.g. polymers used for surgical sutures) with complex geometries and at high resolution. Such enhanced biocompatibility of fabricated 3D microstructures for medical applications enables a broad scope of exciting new possibilities. For example, Prof. Nguyen along with other researchers at MIT used SEAL to create 3D core-shell micro-particles containing biological cargos (e.g. vaccines), which can be programed to sequentially release at different times or even at specific locations within the body. The compelling implications of this technique include the potential for a new set of single-injection vaccines/drugs, which could avoid the repetitive, painful, expensive, and inconvenient injections often required to administer vaccines and drug therapies like insulin or growth hormone. To view the article, click here

 

Microengineering Approaches for Tissue Engineering and Developmental Biology

Abstract: Early stages of human neural development include neural induction, shaping, folding, and closure of neural tubes. Current understanding of early neural development relies on animal studies. However, insights in human neural development mechanism are very limited, largely due to the inaccessibility of human embryo, lack of in vitro models, and ethical concerns. In this talk, I will first discuss our recent experimental and computational works using a series of microengineered tools to model the neural induction, polarization, and bending of neural tubes. Our results demonstrate that biomechanical cues, in addition to morphogen gradient, also play functional roles during multiple stages of neurulation. Direct measurement of cell shape and contractile forces depicted their important roles in regulating the cell fate decision during neural induction. By dynamically changing the shape of cells using an expandable membrane, we further confirm the possibility to tune the cell fate by solely modulating cell shape. In the second part of the talk, I will discuss how mechanical cues regulate the differentiation of human pluripotent stem cells, including their neural differentiation and anterior-posterior patterning. Together, we provide a novel mechano-chemical model of neural development, which provides novel insights in the biomechanics of embryogenesis and morphogenesis.

Biographical Sketch: Yubing Sun is an assistant professor for the Department of Mechanical and Industrial Engineering at the University of Massachusetts, Amherst. He is also a faculty member of Molecular & Cellular Biology Graduate Program and Institute for Applied Life Sciences at UMass. He received his Ph.D. degree from the Department of Mechanical Engineering at the University of Michigan, Ann Arbor in 2015, and his B.S. degree in Materials Science and Engineering from the University of Science and Technology of China. His Ph.D. work with Professor Jianping Fu established the Hippo/YAP-dependent mechanosensitivity of human pluripotent stem cells. His current research interests include mechanotransduction, stem cell biology, microfabrication, developmental biomechanics, lab-on-chip, biosensing, and ultrasound technologies.

 

 

New Device for Testing Heart Health

George LykotrafitisDr. George Lykotrafitis and his student Kostyantyn Partola have been featured for their development of a device that tests blood viscosity – an important indicator of heart health.  Kostyantyn has had support from the Accelerate UConn program as well as the Connecticut Center for Entrepreneurship and Innovation Fellowship program to support the commercialization of the technology.  More information on their work can be found at UConn Today: http://today.uconn.edu/2017/09/new-device-testing-heart-health/

 

Atomistic Modeling at Experimental Strain Rates and Time Scales

Abstract: I will present a new computational approach that couples a recently  developed potential energy surface exploration technique with applied mechanical loading to study the deformation of atomistic systems at strain rates that are much slower, i.e. experimentally-relevant, as compared to classical molecular dynamics simulations, and at time scales on the order of seconds or longer.  I will highlight the capabilities of the new approach via multiple examples, including:  (1) Providing new insights into the plasticity of amorphous solids, with a particular emphasis on how the shear transformation zone characteristics, which are the amorphous analog to dislocations in crystalline solids, undergo a transition that is strain-rate and temperature-dependent; (2) Demonstrating new, strain-rate-dependent yield mechanisms and phenomena in bicrystalline metal nanowires; (3) Demonstrating new mechanical force-induced unfolding pathways for the protein ubiquitin.

Biographical Sketch: Harold Park is a Professor of Mechanical Engineering at Boston University. He received his BS, MS and PhD in Mechanical Engineering from Northwestern University in 1999, 2001 and 2004, respectively.  He was a postdoctoral researcher at Sandia Labs (California) from 2004-2005.  He held tenure-track positions at Vanderbilt University (2005-2007) and the University of Colorado (2007-2009) before moving to Boston University in 2010.  His research has generally focused on the mechanics of nanostructures, coupled physics phenomena at nano and continuum length scales, and the mechanics of soft, active materials.

 

Mechanics of Blood Clots and Fluctuating Lipid Bilayers

Abstract: Blood clots are required to stem bleeding and are subject to a variety of stresses, but they can also block blood vessels and cause heart attacks and strokes. We measured the compressive response of human platelet-poor plasma (PPP) clots, platelet-rich plasma (PRP) clots and whole blood clots and correlated these measurements with confocal and scanning electron microscopy to track changes in clot structure. Stress-strain curves revealed four characteristic regions, for compression-decompression: 1) linear elastic region; 2) upper plateau or softening region; 3) non-linear elastic region or re-stretching of the network; 4) lower plateau in which dissociation of some newly made connections occurs. Our experiments revealed that compression proceeds by the passage of a phase boundary through the clot separating rarefied and densified phases. This observation motivates a model of fibrin mechanics based on the continuum theory of phase transitions, which accounts for the pre-stress caused by platelets, the adhesion of fibrin fibers in the densified phase, the compression of red blood cells (RBCs), and the pumping of liquids through the clot during compression/decompression. Our experiments and theory provide insights into the mechanical behavior of blood clots that could have implications clinically and in the design of fibrin-based biomaterials. As a second topic we will consider thermal fluctuations of lipid bilayer membranes. Typically, membrane fluctuations are analyzed by decomposing into normal modes or by molecular simulations. We propose a new approach to calculate the partition function of a membrane. We view the membrane as a fluctuating elastic plate and discretize it into triangular elements. We express its energy as a function of nodal displacements, and then compute the partition function and covariance matrix using Gaussian integrals. We recover well-known results for the dependence of the projected area of the membrane on the applied tension and recent simulation results on the dependence of membrane free energy on geometry, spontaneous curvature and tension. As new applications, we compute elastic and entropic interactions of inclusions in membranes.

Biographical Sketch: Prashant Purohit is currently Associate Professor in the Department of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania. He got his PhD at Caltech in 2002 studying martensitic phase transitions in solids. His current interest is in problems at the intersection of mechanics, physics and biology. Of particular interest are problems in which thermal fluctuations, or entropy, plays a significant role in the mechanics. Examples of such problems include DNA phase transitions, fluctuating filaments and networks and the mechanics of lipid bilayers. Prashant has also worked on nanomechanics of flexoelectric solids and carbon nanotube foams.

Particle-Resolved Simulations of Complex Multi-Phase Flows

Abstract: Multiphase flows are ubiquitous in a wide range of natural processes and engineering applications. Although efforts to compute multiphase flows started as early as the beginning of the computational fluid dynamics (CFD), the progress was rather slow mainly due to the existence of interfaces that continuously evolve in time and often undergo large deformations leading to topological changes such as breakup and coalescence. In the case of confinement, the fluid-fluid interface strongly interacts with the complex channel wall and usually involve small features such as thin liquid films that are difficult to resolve computationally. Multi-physics effects such as soluble surfactant, phase change, chemical reactions, moving contact line and viscoelasticity make the problem even more complicated and challenging for computational simulations. In this talk, I will discuss our work towards addressing these challenges. I will first describe a front-tracking method developed for particle-resolved simulations of multiphase flows, where all relevant continuum length and time scales are fully resolved in all phases. Special emphasis will be placed on treatment of soluble surfactants, viscoelasticity and phase change (droplet evaporation and burning). Sample results will be presented for various multiphase flows encountered or inspired by bio/microfluidic applications. The microfluidic applications generally involve highly laminar low Reynolds number flows but the numerical method is not restricted to low Reynolds numbers and can be directly applied to turbulent multiphase flows at moderate and even high Reynolds numbers depending on available computational resources. Sample results will also be presented about effects of soluble surfactant on weakly turbulent bubbly flows at moderate Reynolds numbers. The talk will conclude with future directions and applications of presented method to large multi-scale and multi-physics problems of practical interest.

 

Biography: Dr. Muradoglu is a professor of Mechanical Engineering at Koc University. He received his BS degree in Aeronautical Engineering from Istanbul Technical University (ITU) in 1992, and MS and PhD degrees both from Cornell University in 1997 and 2000, respectively. He also worked as a postdoc at Cornell for about 18 months before joining the Koc University faculty in 2001 as an assistant professor where he became an associate professor in 2007 and a full professor in 2016. He has had visiting positions at Harvard, Notre Dame and Princeton Universities, and is currently visiting the University of Michigan, Ann Arbor. Dr. Muradoglu’s work has been recognized by multiple awards including the Turkish Academy of Sciences outstanding young scientist award (TUBA-GEBIP) (2009), Middle East Technical University encouragement award (2009) and the Scientific and Technological Research Council of Turkey (TUBITAK) encouragement award (2010). He has been an associate member of Turkish Academy of Sciences since 2012.

Prof. Thanh Nguyen garners the NIH R21 Trailblazer Award for his work on “Bionic Self-stimulated Cartilage.”

Dr. Nguyen received a NIH R21 trailblazer young investigator award for a project entitled “bionic self-stimulated cartilage”, in collaboration with Dr. Cato Laurencin at UConn Health, school of medicine. This highly-interdisciplinary project aims to integrate a new biopolymer, developed in Nguyen Lab, with a chondrocyte tissue graft to create an exciting hybrid artificial cartilage. The PIs hope this bionic cartilage in implantation will be able to adapt to mechanical joint-force for obtaining an optimal cartilage growth and regeneration. Results from this research will have a great impact for an effective treatment of cartilage diseases such as osteoarthritis. The research is a collaborative work between Nguyen lab (UConn Storrs) in materials processing, device fabrication, tissue integration, and in vitro study, and Laurencin Lab (UConn Health) in animal study and in vivo assessment.

Emeritus Prof. Lee Langston goes to Italy with the ASME History & Heritage Committee

Professor Emeritus Lee Langston, a member of the ASME History & Heritage Committee, recently traveled to Palermo, Italy, to represent UConn and ASME at the ceremony recognizing the engine collection housed within the University of Palermo’s Museum of Engines and Mechanisms.

From left to right: Giuseppe Genchi, Terry Reynolds, and Lee Langston. Photo by ASME/Wil Haywood.

More details can be found on the ASME website.

Since the invention of the wheel, mechanical innovation has critically influenced the development of civilization and industry as well as public welfare, safety and comfort. Through its History and Heritage program, ASME encourages public understanding of mechanical engineering, fosters the preservation of this heritage and helps engineers become more involved in all aspects of history.

Professor Emeritus Lee Langston is actively involved in the committee’s ASME Landmark program. Historic Mechanical Engineering Landmarks are existing artifacts or systems representing a significant mechanical engineering technology. They generally are the oldest extant, last surviving examples typical of a period, or they are machines with some unusual distinction. Over 270 Landmarks have been designated.

 

Battery Aging and Lifetime: What Can We Learn From Ecological Approaches?

Prof. Lucia Gauchia

Assistant Professor, Michigan Technological University

Thursday, May 25, 2017

10:30AM – 11:30 AM

PWEB 476

ABSTRACT

Battery technologies are increasingly being deployed across diverse applications, from portable devices to transportation and residential and grid applications. Consequently, these applications require batteries that can sustain demanding life cycle requirements since batteries can be an asset for multiple services within the same application. In addition, batteries are relied upon for resiliency, and thus, aging is a factor that needs to be considered, especially as battery aging is context-dependent on variations in environmental factors and application demands. In this seminar we will discuss the challenges of battery aging, its multiple scales –cell, module, pack- implications and how we can learn from successful data-enabled approaches applied to ecological systems to better adapt batteries to its application and improve lifetime.

BIOGRAPHY

Lucia Gauchia received her Ph.D. degree in Electrical Engineering from the University Carlos III of Madrid, Spain in 2009. Since September 2013 she is the Richard and Elizabeth Henes Assistant Professor of Energy Storage Systems at the Electrical and Computer Engineering Department and Mechanical Engineering-Engineering Mechanics Department at Michigan Technological University (USA). During 2012 she was a Postdoctoral Research Associate with McMaster University (Canada), working for the Canada Excellence Research Chair in Hybrid Powertrain and the Green Auto Powertrain Program. From 2008 to 2012 she worked at the Electrical Engineering Department at the University Carlos III of Madrid (Spain). Her research interests include the testing, modeling and energy management of energy storages systems. She received the NSF CAREER award in 2017.