Showing 6 results for Researcher: Srikanth Allu
August 24, 2026
6 MIN READ
ORNL researchers have developed a hybrid manufacturing method that combines 3D printing and electroforming to create leak-free HIP cans for advanced nuclear reactor components. The approach could simplify production of complex metal parts, reduce costs and reliance on overseas manufacturing, and strengthen U.S. supply chains for nuclear energy and defense applications.
July 7, 2026
5 MIN READ
Researchers at ORNL developed a high-performance computing and physics-based modeling framework that predicts how large-scale lithium-ion battery systems age under different grid operating conditions. The tool helps optimize battery design and operation to extend system lifespan, reduce costs, and improve the performance of grid-scale energy storage before deployment.
May 28, 2026
5 MIN READ
DOE's ROVI initiative, led in part by ORNL, successfully demonstrated the ROVI DataHub, a secure platform that unifies energy storage data across national labs and field projects to accelerate validation and deployment of long-duration energy storage technologies. The system supports real-time analytics, AI workflows and standardized reporting for next-generation battery technologies.
February 2, 2023
2 MIN READ
We developed a novel uncertainty-aware framework MatPhase to predict material phases of electrodes from low contrast SEM images.
November 1, 2021
1 MIN READ
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
January 4, 2017
3 MIN READ
Researchers at the US Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have developed a way to better track the movement and amount of lithium during battery cycling using computational modeling, neutron imaging, and neutron diffraction—all part of an effort to develop more efficien...