PNNL researchers developed an innovative capability to rapidly separate, monitor, and tightly control specific uranium and plutonium ratios in real-time—an important achievement in efficiently controlling the resulting product and safeguarding nuclear material.
To operate successfully, ITER and future fusion energy reactors cannot allow melting of the walls of the divertor plates that remove excess heat from the plasma in a reactor. These walls are especially at risk of melting when heat is applied to narrow areas. Now, however, an extreme-scale computing analysis indicates that turbulence will reduce that risk.
To operate successfully, ITER and future fusion energy reactors cannot allow melting of the walls of the divertor plates that remove excess heat from the plasma in a reactor. These walls are especially at risk of melting when heat is applied to narrow areas. Now, however, an extreme-scale computing analysis indicates that turbulence will reduce that risk.
To understand the effects of expanding biofuel production, scientists must accurately represent biofuel crops in land surface models. Using observations from biofuel plants in the Midwestern United States, researchers simulated two biofuel perennial plants, miscanthus and switchgrass. The simulations indicate these high-yield perennial crops have several advantages over traditional annual bioenergy crops—they assimilate more carbon dioxide, and they require fewer nutrients and less water.
To understand the effects of expanding biofuel production, scientists must accurately represent biofuel crops in land surface models. Using observations from biofuel plants in the Midwestern United States, researchers simulated two biofuel perennial plants, miscanthus and switchgrass. The simulations indicate these high-yield perennial crops have several advantages over traditional annual bioenergy crops—they assimilate more carbon dioxide, and they require fewer nutrients and less water.
A new class of bio-inspired two-dimensional (2D) hybrid nanomaterials mimic the ability of photosynthetic plants and bacteria.
Discretization is the process of converting continuous models and variables, such as wind speed, into discrete versions to make equations that are compatible with computer analysis. Energy consistent discretization ensures that the method does not have any inaccurate sources of energy that can lead to unstable and unrealistic simulations. In this research, scientists provided a discretization for equations used by global models of the Earth’s atmosphere.
Discretization is the process of converting continuous models and variables, such as wind speed, into discrete versions to make equations that are compatible with computer analysis. Energy consistent discretization ensures that the method does not have any inaccurate sources of energy that can lead to unstable and unrealistic simulations. In this research, scientists provided a discretization for equations used by global models of the Earth’s atmosphere.
Nina Balke is a senior research scientist at the Center for Nanophase Materials Sciences, studying Li-ion batteries to eliminate performance bottlenecks, understand performance fade, and design better batteries from the bottom up.
Nina Balke is a senior research scientist at the Center for Nanophase Materials Sciences, studying Li-ion batteries to eliminate performance bottlenecks, understand performance fade, and design better batteries from the bottom up.
PNNL researchers developed an innovative capability to rapidly separate, monitor, and tightly control specific uranium and plutonium ratios in real-time—an important achievement in efficiently controlling the resulting product and safeguarding nuclear material.
To operate successfully, ITER and future fusion energy reactors cannot allow melting of the walls of the divertor plates that remove excess heat from the plasma in a reactor. These walls are especially at risk of melting when heat is applied to narrow areas. Now, however, an extreme-scale computing analysis indicates that turbulence will reduce that risk.
To operate successfully, ITER and future fusion energy reactors cannot allow melting of the walls of the divertor plates that remove excess heat from the plasma in a reactor. These walls are especially at risk of melting when heat is applied to narrow areas. Now, however, an extreme-scale computing analysis indicates that turbulence will reduce that risk.
To understand the effects of expanding biofuel production, scientists must accurately represent biofuel crops in land surface models. Using observations from biofuel plants in the Midwestern United States, researchers simulated two biofuel perennial plants, miscanthus and switchgrass. The simulations indicate these high-yield perennial crops have several advantages over traditional annual bioenergy crops—they assimilate more carbon dioxide, and they require fewer nutrients and less water.
To understand the effects of expanding biofuel production, scientists must accurately represent biofuel crops in land surface models. Using observations from biofuel plants in the Midwestern United States, researchers simulated two biofuel perennial plants, miscanthus and switchgrass. The simulations indicate these high-yield perennial crops have several advantages over traditional annual bioenergy crops—they assimilate more carbon dioxide, and they require fewer nutrients and less water.
A new class of bio-inspired two-dimensional (2D) hybrid nanomaterials mimic the ability of photosynthetic plants and bacteria.
Discretization is the process of converting continuous models and variables, such as wind speed, into discrete versions to make equations that are compatible with computer analysis. Energy consistent discretization ensures that the method does not have any inaccurate sources of energy that can lead to unstable and unrealistic simulations. In this research, scientists provided a discretization for equations used by global models of the Earth’s atmosphere.
Discretization is the process of converting continuous models and variables, such as wind speed, into discrete versions to make equations that are compatible with computer analysis. Energy consistent discretization ensures that the method does not have any inaccurate sources of energy that can lead to unstable and unrealistic simulations. In this research, scientists provided a discretization for equations used by global models of the Earth’s atmosphere.
Nina Balke is a senior research scientist at the Center for Nanophase Materials Sciences, studying Li-ion batteries to eliminate performance bottlenecks, understand performance fade, and design better batteries from the bottom up.
Nina Balke is a senior research scientist at the Center for Nanophase Materials Sciences, studying Li-ion batteries to eliminate performance bottlenecks, understand performance fade, and design better batteries from the bottom up.
PNNL researchers developed an innovative capability to rapidly separate, monitor, and tightly control specific uranium and plutonium ratios in real-time—an important achievement in efficiently controlling the resulting product and safeguarding nuclear material.
To operate successfully, ITER and future fusion energy reactors cannot allow melting of the walls of the divertor plates that remove excess heat from the plasma in a reactor. These walls are especially at risk of melting when heat is applied to narrow areas. Now, however, an extreme-scale computing analysis indicates that turbulence will reduce that risk.
To operate successfully, ITER and future fusion energy reactors cannot allow melting of the walls of the divertor plates that remove excess heat from the plasma in a reactor. These walls are especially at risk of melting when heat is applied to narrow areas. Now, however, an extreme-scale computing analysis indicates that turbulence will reduce that risk.
To understand the effects of expanding biofuel production, scientists must accurately represent biofuel crops in land surface models. Using observations from biofuel plants in the Midwestern United States, researchers simulated two biofuel perennial plants, miscanthus and switchgrass. The simulations indicate these high-yield perennial crops have several advantages over traditional annual bioenergy crops—they assimilate more carbon dioxide, and they require fewer nutrients and less water.
To understand the effects of expanding biofuel production, scientists must accurately represent biofuel crops in land surface models. Using observations from biofuel plants in the Midwestern United States, researchers simulated two biofuel perennial plants, miscanthus and switchgrass. The simulations indicate these high-yield perennial crops have several advantages over traditional annual bioenergy crops—they assimilate more carbon dioxide, and they require fewer nutrients and less water.
A new class of bio-inspired two-dimensional (2D) hybrid nanomaterials mimic the ability of photosynthetic plants and bacteria.
Discretization is the process of converting continuous models and variables, such as wind speed, into discrete versions to make equations that are compatible with computer analysis. Energy consistent discretization ensures that the method does not have any inaccurate sources of energy that can lead to unstable and unrealistic simulations. In this research, scientists provided a discretization for equations used by global models of the Earth’s atmosphere.
Discretization is the process of converting continuous models and variables, such as wind speed, into discrete versions to make equations that are compatible with computer analysis. Energy consistent discretization ensures that the method does not have any inaccurate sources of energy that can lead to unstable and unrealistic simulations. In this research, scientists provided a discretization for equations used by global models of the Earth’s atmosphere.
Nina Balke is a senior research scientist at the Center for Nanophase Materials Sciences, studying Li-ion batteries to eliminate performance bottlenecks, understand performance fade, and design better batteries from the bottom up.
Nina Balke is a senior research scientist at the Center for Nanophase Materials Sciences, studying Li-ion batteries to eliminate performance bottlenecks, understand performance fade, and design better batteries from the bottom up.
Princeton Plasma Physics Laboratory
Princeton Plasma Physics Laboratory
Brookhaven National Laboratory
Princeton Plasma Physics Laboratory
Princeton Plasma Physics Laboratory
Argonne National Laboratory
Princeton Plasma Physics Laboratory
Argonne National Laboratory
Brookhaven National Laboratory
Princeton Plasma Physics Laboratory
Brookhaven National Laboratory
Princeton Plasma Physics Laboratory
Thomas Jefferson National Accelerator Facility
Argonne National Laboratory
Brookhaven National Laboratory
Department of Energy, Office of Science
Department of Energy, Office of Science
Princeton Plasma Physics Laboratory
Argonne National Laboratory
SLAC National Accelerator Laboratory
Argonne National Laboratory
Argonne National Laboratory
Rensselaer Polytechnic Institute (RPI)
Oregon State University, College of Engineering
University of Alabama at Birmingham
Argonne National Laboratory
Brookhaven National Laboratory
Princeton Plasma Physics Laboratory
California State University (CSU) Chancellor's Office
Brookhaven National Laboratory
Argonne National Laboratory
Princeton Plasma Physics Laboratory
SLAC National Accelerator Laboratory
Brookhaven National Laboratory
California State University, Monterey Bay
Brookhaven National Laboratory
Rensselaer Polytechnic Institute (RPI)
Rensselaer Polytechnic Institute (RPI)
Brookhaven National Laboratory
Brookhaven National Laboratory
Argonne National Laboratory
University of Washington
Illinois Mathematics and Science Academy (IMSA)
Rensselaer Polytechnic Institute (RPI)
Argonne National Laboratory
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