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Researcher
- Andrzej Nycz
- Chris Masuo
- Rama K Vasudevan
- Peter Wang
- Sergei V Kalinin
- Yongtao Liu
- Alex Walters
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Brian Gibson
- Hongbin Sun
- Joshua Vaughan
- Kyle Kelley
- Luke Meyer
- Prashant Jain
- Udaya C Kalluri
- William Carter
- Akash Jag Prasad
- Amit Shyam
- Anton Ievlev
- Arpan Biswas
- Calen Kimmell
- Chelo Chavez
- Christopher Fancher
- Chris Tyler
- Clay Leach
- Gerd Duscher
- Gordon Robertson
- Ian Greenquist
- Ilias Belharouak
- J.R. R Matheson
- Jaydeep Karandikar
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- John Potter
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nate See
- Neus Domingo Marimon
- Nithin Panicker
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Riley Wallace
- Ritin Mathews
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vincent Paquit
- Vishaldeep Sharma
- Vittorio Badalassi
- Vladimir Orlyanchik
- Xiaohan Yang

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

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.