Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (26)
- Computing and Computational Sciences Directorate (38)
- Energy Science and Technology Directorate (223)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate
(20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (135)
- User Facilities (27)
Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Aaron Werth
- Ali Passian
- Andrew F May
- Annetta Burger
- Anton Ievlev
- Arpan Biswas
- Ben Garrison
- Brad Johnson
- Carter Christopher
- Chance C Brown
- Charlie Cook
- Christopher Hershey
- Craig Blue
- Daniel Rasmussen
- Debraj De
- Emilio Piesciorovsky
- Gary Hahn
- Gautam Malviya Thakur
- Gerd Duscher
- Harper Jordan
- Hsin Wang
- James Gaboardi
- James Klett
- Jason Jarnagin
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- John Lindahl
- Kevin Sparks
- Liam Collins
- Liz McBride
- Mahshid Ahmadi-Kalinina
- Mark Provo II
- Marti Checa Nualart
- Mike Zach
- Nance Ericson
- Nedim Cinbiz
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Raymond Borges Hink
- Rob Root
- Sai Mani Prudhvi Valleti
- Srikanth Yoginath
- Stephen Jesse
- Sumner Harris
- Todd Thomas
- Tony Beard
- Utkarsh Pratiush
- Varisara Tansakul
- Xiuling Nie
- Yarom Polsky

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

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.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.