Superseed – Defects in 3D Topological Photonic and Acoustic Materials: Challenges Across Length Scales
Funding Period: September 1, 2020 – August 31, 2021
Principal Investigators
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Randall Goldsmith Associate Professor, Chemistry |
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Chu Ma Professor, Biomedical Engineering |
Co-Investigators
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Paul Capagnola Professor, Biomedical Engineering and Medical Physics |
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Amalio Fernández-Pacheco Associate Professor, University of Glasgow, School of Physics & Astronomy |
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Tim Osswald Professor, Mechanical Engineering |
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Zongfu Yu Associate Professor, Electrical and Computer Engineering |
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Students & Postdocs
| Brandon Hacha | Boyuan Liu |  |
Michael Mattei | ||||
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Gerardo Mazzei Capote | Camila Montoya Ospina |  |
Alec Redmann | |||
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Emily Shelton |  |
Luka Skoric |  |
Michael Wang |
Superseed – Validation of Soft Composite Characterization via Microcavitation and Correlation with Macroscopic Mechanical Behavior
Funding Period: September 1, 2020 – August 31, 2021
Principal Investigators
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Andrew Boydston Associate Professor, Chemistry |
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Padma Gopalan Professor, Materials Science and Engineering |
Co-Investigators
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Stephan Rudykh Assistant Professor, Mechanical Engineering |
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Ramathasan Thevamaran Assistant Professor, Engineering Physics |
Students & Postdocs
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Jizhe Cai |  |
Yuhai Xiang |
Seed – Characterization of Materials in Extreme Environments Using Quantum Probes
Funding Period: September 1, 2020 – August 31, 2021
Principal Investigators
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Jennifer Choy Assistant Professor, Engineering Physics |
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Adrien Couet Assistant Professor, Engineering Physics and Materials Science and Engineering |
Students
- TBD
Seed Highlights
(2020) Energy Transfer Inside of a Topological Photonic Materials
The Wisconsin MRSEC has shown that molecules inside in a type of topological photonic material called a Weyl crystal can exchange energy over much larger distances. The intricate twisting structure of the material uses light to connect one molecule to others much farther away. Developing photonic Weyl crystals may contribute to more efficient LEDs and solar cells and improve molecular sensors.
February 22, 2021
(2020) Machine Learning Algorithms
The Wisconsin MRSEC has developed machine learning techniques that enable the design of new toxin sensors using liquid crystal droplets that respond to the presence of different bacterial toxins and at extremely low concentrations by changing shape and appearance. Machine learning enables computers to automatically analyze the droplet responses to measure toxin concentration and type automatically at high accuracy. More generally, these results demonstrate that the machine learning approach can quickly extract valuable information from complex datasets.
June 17, 2020Newly Awarded Superseed and Seed Projects Will Forge Research Paths for MRSEC
Two Superseed projects and one Seed project have been awarded funding to pursue research as part of the Wisconsin Materials Research Science and Education Center (MRSEC). The collaborative Superseed and Seed projects will enhance the ongoing materials research of the Center and support the exploration of transformative new directions.
June 15, 2020
Calls for Seed and Superseed Proposals Funded by MRSEC
The Wisconsin Materials Research Science and Engineering Center (MRSEC) seeks proposals for interdisciplinary, collaborative Superseed and Seed projects.
October 21, 2019
(2019) Design Rules for Soft Materials with Integrated Natural and Synthetic Building Blocks
Bacteria communicate via molecular signals that they produce in high concentrations. Bacterial communication promotes the formation of biofilms that can be harmful to humans and costly to industry. We have shown that collections of individual bacterial signaling molecules interact in water to form soft materials (“self-assemble”) with spherical, layered, or cylindrical structures. Simulation images showing the formation of a spherical structure (“micelle”) are shown with corresponding experimental images.
June 27, 2019- More Seed posts