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Researcher
- Brian Post
- Peter Wang
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Sudarsanam Babu
- Thomas Feldhausen
- Ahmed Hassen
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- Kyle Kelley
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- Peeyush Nandwana
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- Adam Stevens
- Alex Roschli
- Amit Shyam
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- Liam Collins
- Liam White
- Luke Meyer
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Michael Borish
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Paul Abraham
- Rangasayee Kannan
- Ritin Mathews
- Roger G Miller
- Ryan Dehoff
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Scott Smith
- Stephen Jesse
- Steven Guzorek
- Sumner Harris
- Utkarsh Pratiush
- Vilmos Kertesz
- Vlastimil Kunc
- William Carter
- William Peter
- Xiaohan Yang
- Yang Liu
- Yukinori Yamamoto

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 manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

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.

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

A valve solution that prevents cross contamination while allowing for blocking multiple channels at once using only one actuator.

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

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

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.