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Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Slowing planetary rotation influences ocean nutrient cycling and oxygenation. [PDF]
Capirala A, Olson SL.
europepmc +1 more source
Exo-Geoscience Perspectives Beyond Habitability. [PDF]
Spohn T +7 more
europepmc +1 more source
A mantle assist for the early geodynamo and planetary shielding. [PDF]
Tarduno JA.
europepmc +1 more source
The Climate Health Curriculum Tool (CHCT): an assessment framework for integrating climate health education in U.S. undergraduate medical curricula. [PDF]
Rosen L +13 more
europepmc +1 more source
Planetary health and non-communicable diseases-A converging global crisis. [PDF]
Kakaraparthi VN +5 more
europepmc +1 more source
Improvement of merging processes in N-body simulations in circumstellar disks
Zimmermann M, Pilat-Lohinger E.
europepmc +1 more source
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Science, 1999
Several millennia ago, the Greeks coined the word “planet,” or wanderer, to describe the five roving objects they saw chaotically traversing the sky. Today, our knowledge of these other worlds has accelerated beyond the solar system: The first extrasolar planet was reported in 1995, 20 more ...
Elizabeth Culotta, Linda Rowan
openaire +1 more source
Several millennia ago, the Greeks coined the word “planet,” or wanderer, to describe the five roving objects they saw chaotically traversing the sky. Today, our knowledge of these other worlds has accelerated beyond the solar system: The first extrasolar planet was reported in 1995, 20 more ...
Elizabeth Culotta, Linda Rowan
openaire +1 more source

