The phase diagrams of beryllium and magnesium oxide at megabar pressures
Wu, J., F. Gonzalez-Cataldo, F. Soubiran & B. Militzer (2022). The phase diagrams of beryllium and magnesium oxide at megabar pressures. Journal of Physics: Condensed Matter, 34(14), 144003. https://doi.org/10.1088/1361-648X/ac4b2a
Moons may yield clues to what makes planets habitable
February 1, 2022
In the search for Earth-like planets, University of Rochester scientist Miki Nakajima turns to computer simulations of moon formations.
“How to find a planet you can’t see”
January 27, 2022
Tiny wobbles and faint twinkles that have led astronomers to nearly 5,000 new worlds.
“What we found when we went looking for another Earth”
January 24, 2022
In the last few years, scientists have discovered thousands of exoplanets – and a lot of them are surprisingly weird.
Dynamic compression of water to conditions in ice giant interiors
Gleason, A. E., D. R. Rittman, C. A. Bolme, E. Galtier, H. J. Lee, E. Granados, S. Ali, A. Lazicki, D. Swift, P. Celliers, B. Militzer, S. Stanley, W.L. Mao…
Measuring the melting curve of iron at super-Earth core conditions
Kraus, R. G., R. J. Hemley, S. J. Ali, J. L. Belof, L. X. Benedict, J. Bernier, D. Braun, R. E. Cohen, G. W. Collins, F. Coppari, M. P. Desjarlais,…
Scale interactions and anisotropy in Rayleigh–Taylor turbulence
Zhao, D., R. Betti, R. & H. Aluie (2022). Scale interactions and anisotropy in Rayleigh–Taylor turbulence. Journal of Fluid Mechanics, 930, A29. https://doi.org/10.1017/jfm.2021.902
Hussein Aluie serving as 2022 Chair-Elect of the APS Topical GPC
January 1, 2022
Hussein Aluie, associate professor in the Department of Mechanical Engineering at the University of Rochester and staff scientist at the Laboratory for Laser Energetics, is the 2022 Chair-Elect of the APS Topical Group on the Physics of Climate.
Rochester scientists reveal the limits of machine learning for hydrogen models
December 15, 2021
Research from the Laboratory for Laser Energetics paves the way for more accurate computer models, which are needed to understand the interior of planets and the physical properties of nuclear fusion.
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On the liquid–liquid phase transition of dense hydrogen
December 15, 2021
Showing that the machine learning potential does not reproduce our still larger density functional theory molecular dynamics (DFT-MD) calculations as it should.