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![Sensors_Quantum_leap Sensors_Quantum_leap](/sites/default/files/styles/list_page_thumbnail/public/sensor.jpeg?itok=2TlTAgGT)
![A graphic representation of how deep learning is used to extract information from text-based cancer pathology reports. A graphic representation of how deep learning is used to extract information from text-based cancer pathology reports.](/sites/default/files/styles/list_page_thumbnail/public/news/images/01%20-%20MEDICINE_Deep_Learning_for_Cancer_Research_1.jpg?itok=LU8AkUne)
The development and maturation of automated data tools for cancer research, part of the objectives outlined in the White House’s Cancer Moonshot initiative, could give medical researchers and policymakers an unprecedented view of the U.S.
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/10.%20Urban%20CAT%20Screen%20Shot%202015-06-04%20at%201.40.08%20PM.png?itok=aBp00u-I)
Two ORNL institutes, the Climate Change Science Institute (CCSI) and the Urban Dynamics Institute (UDI), have joined forces to address one of the most pressing problems facing mid-size cities today: how best to allocate scarce resources to deal with cli
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/Clayton2_b.jpg?itok=y6scPcig)
ORNL mathematician Clayton Webster picked up an Early Career Research Program award from DOE’s Office of Science this year. His job is to find the important information in mountains of data.
![Melissa Allen’s work at Oak Ridge National Laboratory is focused on urban infrastructure and atmospheric transport, creating models to determine the effects of temperature and climate changes on human activity. Melissa Allen’s work at Oak Ridge National Laboratory is focused on urban infrastructure and atmospheric transport, creating models to determine the effects of temperature and climate changes on human activity.](/sites/default/files/styles/list_page_thumbnail/public/allen16-P04600_0.jpg?itok=46CM_3W6)
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/travis2_b.jpg?itok=NUw9aRW9)
ORNL early-career award-winner Travis Humble promotes quantum computing at the lab.
![ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources. ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2016-P05087.jpg?itok=mSLI1AgK)
ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.
![Paul Kent of Oak Ridge National Laboratory directs the Center for Predictive Simulation of Functional Materials. Paul Kent of Oak Ridge National Laboratory directs the Center for Predictive Simulation of Functional Materials.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2016-P04277.jpg?itok=jOJBdTf5)
The US Department of Energy announced today that it will invest $16 million over the next four years to accelerate the design of new materials through use of supercomputers.