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Oak Ridge National Laboratory bioinformatics researcher Dan Jacobson plugs AI, deep learning into biosystems.

Dan Jacobson is illuminating the workings of biological systems from the molecular scale up by leveraging Oak Ridge National Laboratory’s supercomputing resources to create machine- and deep-learning techniques more easily understood by humans

ORNL scientists estimated quantum computing energy usage from a detailed modeling technique. In a study, the team found that quantum computers could reduce energy usage by more than 20 orders of magnitude compared to conventional computers.
New research from Oak Ridge National Laboratory indicates that quantum computers will use dramatically less energy than current supercomputers, which could lead to cost savings for computing equipment manufacturers and data centers. “High-performance computers with thousands of pr...
Oak Ridge National Laboratory researcher Halil Tekinalp combines silanes and polylactic acid to create supertough renewable plastic.

A novel method developed at Oak Ridge National Laboratory creates supertough renewable plastic with improved manufacturability. Working with polylactic acid, a biobased plastic often used in packaging, textiles, biomedical implants and 3D printing, the research team added tiny amo...

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/Oak Ridge National Laboratory,

A new system being developed at Oak Ridge National Laboratory 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 ...

Yarom Polsky

Yarom Polsky’s diverse background in private and public-sector research has given him a knack for recognizing opportunities to advance the state-of-the-art, and he parlays that knowledge into successful innovation as an engineer, group leader, and 

Brian Post is building the future of large-scale additive manufacturing at the Manufacturing Demonstration Facility at ORNL.

Brian Post came to the Department of Energy's Oak Ridge National Laboratory looking for a way to combine his interests in controls engineering and robotics, and he found it at the Manufacturing Demonstration Facility (MDF), where he and his colleagues are revolutionizing 3D-printi...

A senior research scientist at Oak Ridge National Laboratory, Olufemi “Femi” Omitaomu is leveraging Big Data for urban resilience. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Jason Richards.

At the Department of Energy’s Oak Ridge National Laboratory, Olufemi “Femi” Omitaomu is leveraging Big Data for urban resilience, helping growing cities support future infrastructure and resource needs. A senior research scientist for ORNL’s Computational Sciences and Engineeri...

ORNL researcher Miaofang Chi refines her microscopy techniques toward understanding how and why materials have certain properties.

Material surfaces and interfaces may appear flat and void of texture to the naked eye, but a view from the nanoscale reveals an intricate tapestry of atomic patterns that control the reactions between the material and its environment. Electron microscopy allows researchers to probe...

BraundmeierA_SIU_ORNL
A new process to identify certain microbes in women could be used to diagnose endometriosis without invasive surgery, even before symptoms start. A collaborative research team including Oak Ridge National Laboratory analyzed bacteria from a small sample of premenopausal women undergoing laparoscopic surgery for suspected endometriosis.
An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy
For smarter data management and analysis, researchers have developed a low-power neuromorphic device based on spiking neural networks that can quickly and more efficiently analyze and classify data.