Conferences related to Shape-memory Polymers

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE 70th Electronic Components and Technology Conference (ECTC)

ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Shape-memory Polymers

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


Mechatronics, IEEE/ASME Transactions on

Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...


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Xplore Articles related to Shape-memory Polymers

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Smart cell culture substrates and smart resorbable orthopedic hardware: Shape memory polymers for basic and applied mechanobiology

2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC), 2015

In vitro studies have begun to elucidate the principles through which biophysical aspects of extracellular matrix (ECM) behavior support and regulate tissue development, disease, and healing. Engineered 2D and 3D substrates and scaffolds have provided increasingly powerful tools with which to investigate the relationships between cell mechanical behavior and ECM composition and organization. But substrates and scaffolds are often static ...


Reconfigurable antenna using shape memory polymers

2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016

This paper reports a novel reconfigurable antenna using Liquid Crystal Elastomers (LCEs), a distinctive type of Shape Memory Polymers (SMPs). The LCE can be used as an antenna substrate to uniformly change the physical structure of the radiating surfaces. Changing the physical parameters of the antenna through LCE allows for a reconfigurable bandwidth, operating frequency, radiation pattern and gain. The ...


Thickness and Uniformity Modeling of the Deposition of Shape Memory Polymers for Information Storage Applications

2008 IEEE/SEMI Advanced Semiconductor Manufacturing Conference, 2008

Shape memory polymers are of interest as high-capacity information storage media. This research seeks to understand the effects of processing conditions on the following candidate polymers: diethylene glycol dimethacrylate (DEGDMA), tertbutyl acrylate (tBA), and bisphenol. Full factorial experiments were performed using three input factors: spin speed, spin time, and nitrogen flow rate. A total of ten experiments were conducted. The ...


Bio-inspired 3D neural electrodes for the peripheral nerves stimulation using shape memory polymers

2018 IEEE International Electron Devices Meeting (IEDM), 2018

Peripheral nerves stimulation has been widely used in clinical practices, such as the vagus nerve stimulation (VNS) for heart failure, and motor nerve stimulation for controlling the prosthetics. However, the nerve injuries induced by the large mechanical and geometrical mismatch and complex surgical implantation process have restricted the further applications. Here, inspired by twining plants such as morning glories, we ...


Dynamic Micropattern Geometry atop Shape Memory Polymers

2013 39th Annual Northeast Bioengineering Conference, 2013

Substrates micropatterned with cell adhesion proteins have been used to investigate how protein density and geometry affect cell behaviors such as cell migration, growth, and differentiation. Existing technologies are limited in that they typically feature protein micropatterns that are static and unable to change while cells are attached. Here we micropatterned shape memory polymer (SMP) substrates that were capable of ...


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Educational Resources on Shape-memory Polymers

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IEEE.tv Videos

IBM Researcher Dr. Jamie Garcia Explores Sustainable Polymers at Rising Stars 2016
Perpendicular magnetic anisotropy: From ultralow power spintronics to cancer therapy
IEEE Future Networks Initiative - Academia and Industry Shaping and Evolving the Future
From Edge To Core: Memory-Driven Hardware and Software Co-Design - IEEE Rebooting Computing Industry Summit 2017
DROP: The Durable Reconnaissance and Observation Platform
Towards Logic-in-Memory circuits using 3D-integrated Nanomagnetic Logic - Fabrizio Riente: 2016 International Conference on Rebooting Computing
Ted Berger: Far Futures Panel - Technologies for Increasing Human Memory - TTM 2018
IMS 2011 Microapps - Memory Effects in RF Circuits: Definition, Manifestations and Fast, Accurate Simulation
Improved Deep Neural Network Hardware Accelerators Based on Non-Volatile-Memory: the Local Gains Technique: IEEE Rebooting Computing 2017
Ignite! Session: John Walz
Impact of Linearity and Write Noise of Analog Resistive Memory: IEEE Rebooting Computing 2017
Fast solution of linear systems with RRAM - Zhong Sun - ICRC San Mateo, 2019
Non-Volatile Memory Array Based Quantization - Wen Ma - ICRC San Mateo, 2019
2011 IEEE Honors Ceremony
What is the PSMA Power Technology Roadmap? APEC 2013 KeyTalk with Eric Persson
IEEE Brain: Nia Therapeutics: Building an Early-stage Medical Device Business
High-Bandwidth Memory Interface Design
Array storing and retrieval
Making 5G NR a Reality - Durga Malladi: Brooklyn 5G Summit 2017
Handling of a Single Object by Multiple Mobile Robots based on Caster-Like Dynamics

IEEE-USA E-Books

  • Smart cell culture substrates and smart resorbable orthopedic hardware: Shape memory polymers for basic and applied mechanobiology

    In vitro studies have begun to elucidate the principles through which biophysical aspects of extracellular matrix (ECM) behavior support and regulate tissue development, disease, and healing. Engineered 2D and 3D substrates and scaffolds have provided increasingly powerful tools with which to investigate the relationships between cell mechanical behavior and ECM composition and organization. But substrates and scaffolds are often static structures, unchanged over time, providing poor mimics of dynamic in vivo environments. As engineered in vitro environments become more accurate biochemical and biophysical tools for investigating and modeling in vivo environments, the critical next step for many areas of cell biomechanics and mechanobiology will be incorporation of increased programmable physical functionality into the environments. To this end, we have been investigating the use of shape memory polymers for the study and application of mechanobiology. Here we will present ongoing work on programmable cell culture substrates and scaffolds. The results demonstrate control of cell behavior through shape-memory-activated biophysical changes and introduce the use of such substrates and scaffolds for investigation of mechanotransduction, cell biomechanical function, and cell soft-matter physics and for application in tissue engineering and regenerative medicine. Future challenges in controlling and studying smart autonomous materials (mammalian cells) on and in shape- changing substrates and scaffolds will also be discussed.

  • Reconfigurable antenna using shape memory polymers

    This paper reports a novel reconfigurable antenna using Liquid Crystal Elastomers (LCEs), a distinctive type of Shape Memory Polymers (SMPs). The LCE can be used as an antenna substrate to uniformly change the physical structure of the radiating surfaces. Changing the physical parameters of the antenna through LCE allows for a reconfigurable bandwidth, operating frequency, radiation pattern and gain. The multifunctional antenna and the method used for changing the physical antenna parameters is temperature.

  • Thickness and Uniformity Modeling of the Deposition of Shape Memory Polymers for Information Storage Applications

    Shape memory polymers are of interest as high-capacity information storage media. This research seeks to understand the effects of processing conditions on the following candidate polymers: diethylene glycol dimethacrylate (DEGDMA), tertbutyl acrylate (tBA), and bisphenol. Full factorial experiments were performed using three input factors: spin speed, spin time, and nitrogen flow rate. A total of ten experiments were conducted. The measured responses were film thickness, uniformity, hardness and modulus of the materials. Analysis of variance revealed that all input parameters were significant with respect to the film thickness. The full factorial experiments were augmented to a central composite face (CCF) design to enable response surface modeling. Neural network models were developed to examine relationships between the spin speed and thickness of spin coated films. The average predictability of the model was better than 2% for training and less than 15% in testing. This research is expected to aid in understanding the use of these materials in information storage.

  • Bio-inspired 3D neural electrodes for the peripheral nerves stimulation using shape memory polymers

    Peripheral nerves stimulation has been widely used in clinical practices, such as the vagus nerve stimulation (VNS) for heart failure, and motor nerve stimulation for controlling the prosthetics. However, the nerve injuries induced by the large mechanical and geometrical mismatch and complex surgical implantation process have restricted the further applications. Here, inspired by twining plants such as morning glories, we developed a 3D neural electrode that integrates the nano-gold film on flexible shape memory polymer (SMP) substrate from 2D planar state. Upon the response to 50°C normal saline, the flattened neural electrodes can self-climb to the 3D peripheral nerves with the aid of the shape memory effect. Two in vivo animal experiments are used to demonstrate the clinical practicality, i.e., VNS for the control of the heart rate (HR) and sciatic nerve stimulation for the control of the leg's movements. This technology offers a paradigm that fabricating the 3D bioelectronics in 2D planar state to match the 3D biological tissues by utilizing smart materials, and shows great potentials in clinical practices.

  • Dynamic Micropattern Geometry atop Shape Memory Polymers

    Substrates micropatterned with cell adhesion proteins have been used to investigate how protein density and geometry affect cell behaviors such as cell migration, growth, and differentiation. Existing technologies are limited in that they typically feature protein micropatterns that are static and unable to change while cells are attached. Here we micropatterned shape memory polymer (SMP) substrates that were capable of transitioning from a stretched state to a contracted state to control the width of patterned lines presented to attached cells. We found that micropattern geometry changed as the SMP substrate transitioned to its unstretched shape. Cells attached to dynamic patterns balled up and contracted their nuclei. The results suggest that micropatterned SMP cell culture substrates can be used to study the temporal aspects of cell mechanobiology.

  • Modeling and Optimization of the Deposition of Shape Memory Polymers for Information Storage Applications

    Shape memory polymers are of interest as high-capacity information storage media. This paper seeks to understand the effects of processing conditions on diethylene glycol dimethacrylate (DEGDMA) and bisphenol A ethoxylate dimethacrylate. Full factorial experiments are performed to characterize the impact of the following parameters: spin speed, spin time, and nitrogen flow rate. A total of ten experiments are conducted. The measured responses are film thickness, uniformity, hardness and modulus. Analysis of variance reveals the above input parameters are significant with respect to the output responses. The full factorial experiment is augmented by a central composite face centered (CCF) design to facilitate process modeling. Neural network models are developed to examine relationships. The average predictability of the models is better than 2% for training and less than 15% in testing. Genetic algorithms are used in optimizing recipes for the two materials.

  • Flexible haptic display with 768 independently controllable shape memory polymers taxels

    We report the first high-resolution flexible haptic display with 768 (32x24) individually addressable taxels (tactile pixels) designed for wearables and virtual reality (VR) applications. The device integrates a thin Shape Memory Polymer (SMP) membrane with a matrix of compliant carbon-silicone composite heaters, a 4-layer flexible PCB and a flexible fluidic chamber. The actuator yield is 99 %, the taxel pitch is 4 mm and the average displacement is 275 μm with a 225 mN holding force, allowing easy discrimination using the sense of fine touch. One line can be reconfigured and latched in 2.5 s; the entire array can be refreshed in under 1 min 30 s with our current drive circuit. The bistable nature of SMPs enables selective and independent actuator motion by judiciously synchronizing their local Joule heating with a global external pressure supply.

  • Preliminary investigations of active disassembly using shape memory polymers

    This paper reports initial results in the application of shape memory polymer (SMP) technology to the active disassembly of electronic products. The smart material SMP of polyurethane (PU) composition was employed. Created for these experiments were novel SMP releasable fasteners, with which it is possible to effectively disassemble products at specific triggering temperatures at the end of their life (EoL). This disassembly technique is termed active disassembly using smart materials (ADSM), and has been successfully demonstrated on a variety of products using other smart materials. Whilst developed primarily as a universal disassembly technique, cost effectiveness is apparent. Heat sources of +70, +100 and +225/spl deg/C were employed to raise the releasable fasteners above their trigger temperatures: in the case of SMP this would be the glass transition temperature (Tg). The development of releasable fasteners and applications in electronic products is described.

  • Active disassembly using shape memory polymers for the mobile phone industry

    This paper reports results the application of shape memory polymer (SMP) technology to the active disassembly of modern mobile phones. The smart material SMP of polyurethane (PU) composition was employed. Two different types of SMP fasteners were created for these experiments. With these smart material devices, it is possible for products to disassemble themselves at specific triggering temperatures at EoL. The two designs were compared for disassembly effectiveness. The disassembly technique is termed active disassembly using smart materials (ADSM), and has been successfully demonstrated on a variety of mobile phones. Whilst developed primarily as a universal disassembly technique, cost effectiveness and time performance is apparent. Heat sources of +90, +100 and a range of +67 to +120/spl deg/C were employed to raise the releasable fasteners above their trigger temperatures: in the case of SMP this would be the glass transition temperature (Tg). The development of releasable fasteners and applications in electronic products is described.

  • Shape-memory polymers for microelectromechanical systems

    This paper investigates the use of shape-memory polymer thin films in microelectromechanical systems (MEMS). shape-memory polymers possess the capacity to recover large-strain deformations by the application of heat and are candidates for small-scale transduction. The key advantages of shape- memory polymers are their low material/fabrication cost coupled with their simplicity of integration/operation. In the present study, shape-memory polymers are spin coated onto a standard Si wafer and polymerized by thermal annealing. The thermomechanics of strain storage and recovery in the polymer films are studied using instrumented microindentation. The sharp microindents demonstrate full recovery at all load levels, establishing the feasibility of microscale actuation. The microindentation response of the polymer film is shown to depend on temperature and the cooling cycle during indentation. In turn, the subsequent recovery behavior of an indent depends on the thermal history during indentation. Indents performed at higher temperatures are larger in size, but have smaller stored strain energy compared to indents performed at low temperature. The larger stored strain energy in low temperature indents results in lower shape recovery temperatures. The effects of indentation temperature and load are systematically investigated to provide a framework for the use of shape-memory polymers in microsystems. Application of shape-memory polymers is demonstrated through the development of an active microfluidic reservoir. The reservoir was created by indentation at the end of a microfluidic channel and was activated by local heating. The collapse of the filled reservoir caused the motion of fluid down the microfluidic channel.



Standards related to Shape-memory Polymers

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