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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Ali Riza Ekti
- Kyle Kelley
- Raymond Borges Hink
- Soydan Ozcan
- Xianhui Zhao
- Aaron Werth
- Aaron Wilson
- Alex Roschli
- Anton Ievlev
- Arpan Biswas
- Burak Ozpineci
- Dali Wang
- Elizabeth Piersall
- Emilio Piesciorovsky
- Emrullah Aydin
- Erin Webb
- Evin Carter
- Gary Hahn
- Gerd Duscher
- Halil Tekinalp
- Isaac Sikkema
- Isabelle Snyder
- Jeremy Malmstead
- Jian Chen
- Joseph Olatt
- Kitty K Mccracken
- Kunal Mondal
- Liam Collins
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mengdawn Cheng
- Mingyan Li
- Mostak Mohammad
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Omer Onar
- Oscar Martinez
- Ozgur Alaca
- Paula Cable-Dunlap
- Peter L Fuhr
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Sanjita Wasti
- Stephen Jesse
- Sumner Harris
- Tyler Smith
- Utkarsh Pratiush
- Wei Zhang
- Yarom Polsky
- 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.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

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 invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.