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Researcher
- Rama K Vasudevan
- Kyle Gluesenkamp
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Bo Shen
- Kyle Kelley
- Melanie Moses-DeBusk Debusk
- Anton Ievlev
- Arpan Biswas
- Dhruba Deka
- Gerd Duscher
- James Manley
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Navin Kumar
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Sai Mani Prudhvi Valleti
- Sreshtha Sinha Majumdar
- Stephen Jesse
- Sumner Harris
- Tugba Turnaoglu
- Utkarsh Pratiush
- Xiaobing Liu
- Yeonshil Park
- Yifeng Hu

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

The widespread use of inexpensive salt hydrate-based phase change materials, or PCMs, has been prevented by a key technical challenge: phase separation, also known as incongruency, which results in the significant degradation of the materials' ability to store thermal energy o