![The Eclipse Integrated Computational Environment (ICE) is a scientific workbench and workflow environment developed to improve the user experience for computational scientists. The Eclipse Integrated Computational Environment (ICE) is a scientific workbench and workflow environment developed to improve the user experience for computational scientists.](/sites/default/files/styles/list_page_thumbnail/public/Softwarerelease_image1_0.jpg?itok=lN_EawKa)
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![The Eclipse Integrated Computational Environment (ICE) is a scientific workbench and workflow environment developed to improve the user experience for computational scientists. The Eclipse Integrated Computational Environment (ICE) is a scientific workbench and workflow environment developed to improve the user experience for computational scientists.](/sites/default/files/styles/list_page_thumbnail/public/Softwarerelease_image1_0.jpg?itok=lN_EawKa)
![From left, Oak Ridge National Laboratory’s Gaute Hagen, Thomas Papenbrock and Gustav Jansen used the Titan supercomputer at the Oak Ridge Leadership Computing Facility to calculate the structure of doubly magic nickel-78 and its neighbors. From left, Oak Ridge National Laboratory’s Gaute Hagen, Thomas Papenbrock and Gustav Jansen used the Titan supercomputer at the Oak Ridge Leadership Computing Facility to calculate the structure of doubly magic nickel-78 and its neighbors.](/sites/default/files/styles/list_page_thumbnail/public/Image1%40Titan_2016-P06515_0.jpg?itok=clQ-vbHa)
![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.
![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’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.
![ORNL’s new climate change methodology helps predict energy efficiency impacts in rapidly growing areas like greater Chicago. This tool can be applied to any U.S. or global region. ORNL’s new climate change methodology helps predict energy efficiency impacts in rapidly growing areas like greater Chicago. This tool can be applied to any U.S. or global region.](/sites/default/files/styles/list_page_thumbnail/public/news/images/06%20climate%20tip.jpg?itok=xLN0Rl7s)
![A new ORNL-developed method pinpoints electrical service areas across the southern United States most vulnerable to climate change and predicted population growth, which could inform decision makers about future substation needs. A new ORNL-developed method pinpoints electrical service areas across the southern United States most vulnerable to climate change and predicted population growth, which could inform decision makers about future substation needs.](/sites/default/files/styles/list_page_thumbnail/public/news/images/Substation.jpg?itok=yEbRk0_i)
Climate and energy scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to pinpoint which electrical service areas will be most vulnerable as populations grow and temperatures rise.