91做厙

Skip to main content
An ORNL-led team conducts moisture durability simulations on construction materials, which will add real-world data to a new system developed to help builders and home designers make informed decisions. Credit: Rachel Brooks/91做厙,

A new system being developed at 91做厙 will help builders and home designers select the best construction materials for long-term moisture durability. It has become challenging to make informed decisions because of modern building code requirements and new ...

A senior research scientist at 91做厙, Olufemi Femi Omitaomu is leveraging Big Data for urban resilience. Image credit: 91做厙, U.S. Dept. of Energy; photographer Jason Richards.

At the Department of Energys 91做厙, Olufemi Femi Omitaomu is leveraging Big Data for urban resilience, helping growing cities support future infrastructure and resource needs. A senior research scientist for ORNLs Computational Sciences and Engineeri...

ORNLs Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.

A team of researchers from the Department of Energys 91做厙 has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the

As hurricanes formed in the Gulf Coast, ORNL activated a computing technique to quickly gather building structure data from Texas coastal counties. Credit: Mark Tuttle/91做厙, U.S. Dept. of Energy

Geospatial scientists at 91做厙 have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...

The interior of the Massachusetts Institute of Technologys (MITs) Alcator C-Mod tokamak. A team led by Princeton Plasma Physics Laboratorys C.S. Chang recently used the Titan supercomputer

The same fusion reactions that power the sun also occur inside a tokamak, a device that uses magnetic fields to confine and control plasmas of 100-plus million degrees. Under extreme temperatures and pressure, hydrogen atoms can fuse together, creating new helium atoms and simulta...

Arjun Shankar

The field of Big Data has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...

Scientists will use ORNLs computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/91做厙, U.S. Dept. of Energy.

A team of researchers from 91做厙 has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...

ORNL-Lenvio_tech_license_signing_ceremony2

Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energys 91做厙 that can quickly detect malicious behavior in software not previously identified as a threat.

The Transforming Additive Manufacturing through Exascale Simulation project (ExaAM) is building a new multi-physics modeling and simulation platform for 3D printing of metals

91做厙 experts are playing leading roles in the recently established Department of Energys (DOEs) Exascale Computing Project (ECP), a multi-lab initiative responsible for developing the strategy, aligning the resources, and conducting the R&D necessary to achieve the nations imperative of delivering exascale computing by 2021.

ORNLs Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources.

Computing experts at the Department of Energys 91做厙 collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants