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Researcher
- Soydan Ozcan
- Xianhui Zhao
- Yaosuo Xue
- Alex Roschli
- Dali Wang
- Debangshu Mukherjee
- Erin Webb
- Evin Carter
- Fei Wang
- Halil Tekinalp
- Jeremy Malmstead
- Jian Chen
- Josh Michener
- Kitty K Mccracken
- Liangyu Qian
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paula Cable-Dunlap
- Phani Ratna Vanamali Marthi
- Rafal Wojda
- Sanjita Wasti
- Serena Chen
- Sreenivasa Jaldanki
- Suman Debnath
- Sunil Subedi
- Tyler Smith
- Wei Zhang
- Yonghao Gui
- Zhili Feng

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.

Multi-terminal DC (MTdc) systems based on high-voltage DC (HVDC) transmission technology is an upcoming concept. In such systems, either asymmetric monopole or bi-pole systems are generally employed. Such systems are not suitable for easy expansion.

Stability performance of interconnected power grids plays crucial roles on their secure operation to prevent cascading failure and blackout.

Technologies directed to a multi-port autonomous reconfigurable solar power plant are described.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.