Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- User Facilities (27)
Researcher
- Rama K Vasudevan
- Rafal Wojda
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Prasad Kandula
- Kyle Kelley
- Vandana Rallabandi
- Alex Plotkowski
- Anton Ievlev
- Arpan Biswas
- Christopher Fancher
- Daniel Jacobson
- Gerd Duscher
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marcio Magri Kimpara
- Marti Checa Nualart
- Mostak Mohammad
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Omer Onar
- Praveen Kumar
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Subho Mukherjee
- Suman Debnath
- Sumner Harris
- Utkarsh Pratiush

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

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.

An ORNL invention proposes using 3D printing to make conductors with space-filling thin-wall cross sections. Space-filling thin-wall profiles will maximize the conductor volume while restricting the path for eddy currents induction.

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

The invention is related to the implementation of an bi-directional and isolated electric vehicle charger. The bidirectionality allows the electric vehicles to support the grid in case of disturbances thereby reducing the stress on the existing infrastructure.

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.