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Researcher
- Yong Chae Lim
- Brian Post
- Rangasayee Kannan
- Zhili Feng
- Adam Stevens
- Alex Roschli
- Bryan Lim
- Cameron Adkins
- Debangshu Mukherjee
- Diana E Hun
- Gina Accawi
- Gurneesh Jatana
- Isha Bhandari
- Jian Chen
- Jiheon Jun
- Josh Michener
- Liam White
- Liangyu Qian
- Mark M Root
- Md Inzamam Ul Haque
- Michael Borish
- Olga S Ovchinnikova
- Peeyush Nandwana
- Philip Boudreaux
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Serena Chen
- Sudarsanam Babu
- Tomas Grejtak
- Venkatakrishnan Singanallur Vaidyanathan
- Wei Zhang
- William Peter
- Yiyu Wang
- Yukinori Yamamoto

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.

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.

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