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URI: http://hdl.handle.net/2144/988

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  • Perceptual control with large feature and actuator networks 

    Baillieul, John (Institute of Electrical and Electronics Engineers, 2019-12-11)
    This paper discusses elements of a control theory of systems comprised of networks of simple agents that collectively achieve sensing and actuation goals despite having strictly limited capability when acting alone. The ...
  • A Bayesian experimental autonomous researcher for mechanical design 

    Gongora, Aldair; Xu, Bowen; Perry, Wyatt; Okoye, Chika; Riley, Patrick; Reyes, Kristofer; Morgan, Elise; Brown, Keith (2020-04-10)
    While additive manufacturing (AM) has facilitated the production of complex structures, it has also highlighted the immense challenge inherent in identifying the optimum AM structure for a given application. Numerical ...
  • Feasibility-guided learning for constrained optimal control problems 

    Xiao, Wei; Belta, Calin A.; Cassandras, Christos G. (IEEE, 2020-12-14)
    Optimal control problems with constraints ensuring safety can be mapped onto a sequence of real time optimization problems through the use of Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs). One of ...
  • Volumetric chemical imaging in vivo by a remote-focusing stimulated Raman scattering microscope 

    Lin, Peng; Ni, Hongli; Li, Huate; Vickers, Nicholas A.; Tan, Yuying; Gong, Ruyi; Bifano, Thomas; Cheng, Ji-Xin (The Optical Society, 2020-09-28)
    Operable under ambient light and providing chemical selectivity, stimulated Raman scattering (SRS) microscopy opens a new window for imaging molecular events on a human subject, such as filtration of topical drugs through ...
  • Reverberation microscopy systems and methods 

    Bifano, Thomas; Mertz, Jerome; Beaulieu, Devin (2020-06-09)
    A method for obtaining one or more images of a sample using a microscope includes dividing , using a reverberation cavity , a first one of a plurality of laser pulses into a plurality of sequential sub-pulses, each of ...
  • Forward and inverse design of kirigami via supervised autoencoder 

    Hanakata, Paul Z.; Cubuk, Ekin D.; Campbell, David K.; Park, Harold S. (American Physical Society (APS), 2020-10-12)
    Machine learning (ML) methods have recently been used as forward solvers to predict the mechanical properties of composite materials. Here, we use a supervised autoencoder (SAE) to perform the inverse design of graphene ...
  • Quantifying heart valve interstitial cell contractile state using highly tunable poly(ethylene glycol) hydrogels 

    Khang, Alex; Gonzalez Rodriguez, Andrea; Schroeder, Megan E.; Sansom, Jacob; Lejeune, Emma; Anseth, Kristi S.; Sacks, Michael S. (Elsevier BV, 2019-09)
    Valve interstitial cells (VIC) are the primary cell type residing within heart valve tissues. In many valve pathologies, VICs become activated and will subsequently profoundly remodel the valve tissue extracellular matrix ...
  • Minimum size for the top jet drop from a bursting bubble 

    Brasz, C. Frederik; Bartlett, Casey T.; Walls, Peter L. L.; Flynn, Elena G.; Yu, Yingxian Estella; Bird, James C. (American Physical Society, 2018-07-11)
    Jet drops ejected from bursting bubbles are ubiquitous, transporting aromatics from sparkling beverages, pathogens from contaminated water sources, and sea salts and organic species from the ocean surface to the atmosphere. ...
  • Threshold for discretely self-similar satellite drop formation from a retracting liquid cone 

    Brasz, C. Frederik; Berny, Alexis; Bird, James C. (American Physical Society, 2018-10-16)
    Predicting the size of droplets that pinch off from a liquid jet is important to applications ranging from bubble-initiated atmospheric aerosols to inkjet printing. These predictions are complicated by smaller satellite ...
  • Microstructural ordering of nanofibers in flow-directed assembly 

    Gao, EnLai; Wang, ShiJun; Duan, ChuanHua; Xu, ZhiPing (Springer Science and Business Media LLC, 2019-09)
    Fabrication of highly ordered and dense nanofibers assemblies is of key importance for high-performance and multi-functional material and device applications. In this work, we design an experimental approach in silico, ...

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