A5033453630- Advanced Sensor and Energy Harvesting Materials
- Advanced Materials and Mechanics
- Cellular and Composite Structures
- Acoustic Wave Phenomena Research
- Tactile and Sensory Interactions
- Modular Robots and Swarm Intelligence
- Topology Optimization in Engineering
- Structural Analysis and Optimization
- Additive Manufacturing and 3D Printing Technologies
- Dielectric materials and actuators
- Natural Fiber Reinforced Composites
- Advanced Antenna and Metasurface Technologies
- Sensor Technology and Measurement Systems
- Conducting polymers and applications
- Advanced MEMS and NEMS Technologies
- Railway Engineering and Dynamics
- Polydiacetylene-based materials and applications
- Automotive and Human Injury Biomechanics
- Manufacturing Process and Optimization
University of California, Berkeley
2023
University of California, Los Angeles
2020-2022
Virginia Tech
2019
Advances in additive manufacturing techniques have enabled the creation of stimuli-responsive materials with designed three-dimensional (3D) architectures. Unlike biological systems which functions such as sensing, actuation, and control are closely integrated, few architected comparable system complexity. We report a design route to create class robotic metamaterials capable motion multiple degrees freedom, amplification strain prescribed direction response an electric field (and vice...
Designing and printing metamaterials with customizable architectures enables the realization of unprecedented mechanical behaviors that transcend those their constituent materials. These are recorded in form response curves, stress-strain curves describing quasi-static footprint. However, existing inverse design approaches yet matured to capture full desired due challenges stemmed from multiple objectives, nonlinear behavior, process-dependent manufacturing errors. Here, we report a rapid...
Abstract The trade‐off between processability and functional responses presents significant challenges for incorporating piezoelectric materials as potential 3D printable feedstock. Structural compliance electromechanical coupling sensitivity have been tightly coupled: high responsiveness comes at the cost of low compliance. Here, formulation design strategy are presented a class printable, wearable nanocomposite that approaches upper bound charge constants while maintaining An effective...
Abstract Heat dissipation performance is critical to the design of high-end equipment, such as integrated chips and high-precision machine tools. Owing advantages artificial intelligence in solving complex tasks involving a large number variables, researchers have exploited deep learning expedite optimization material properties, heat solid isotropic materials with penalization (SIMP). However, because approach limited by discrete datasets labeled training forms, ensuring continuous...
Elastic metamaterials possess band gaps, or frequency ranges that are forbidden to wave propagation. Existing solutions for impeding three-dimensional (3D) propagation largely rest on high-volume fractions of mass inclusions induce and tailor negative effective density-based local resonances. This study introduces a class elastic achieve low-frequency gaps with volume fraction as low 3% (mass density $0.034\phantom{\rule{0.1em}{0ex}}\mathrm{g}/{\mathrm{cm}}^{3}$). The working the proposed...
Material responses to static and dynamic stimuli, represented as nonlinear curves, are design targets for engineering functionalities like structural support, impact protection, acoustic photonic bandgaps. Three-dimensional metamaterials offer significant tunability due their internal structure, yet existing methods struggle capture complex behavior-to-structure relationships. We present GraphMetaMat, a graph-based framework capable of designing three-dimensional with programmable arbitrary...