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Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Water electrolysis enhanced by super gravity field for hydrogen production

open access: yesInternational Journal of Hydrogen Energy, 2010
Water electrolysis was carried out galvanostatically under a super gravity field. The relationships of cell voltage, ohmic voltage drop reduction and overpotential reduction with gravity coefficient (G) and current densities were studied.
Mingyong Wang
exaly   +2 more sources

Mean-field quantum gravity

Physical Review D, 1992
We describe a new approach to quantum gravity, based on a kind of mean-field approximation. The action, which we choose to be quadratic in curvature and torsion, is made polynomial by replacing the inverse vierbein by its mean value. This action is used to compute the effective action for the vierbein and hence its vacuum expectation value.
FLOREANINI R, Percacci, Roberto
openaire   +3 more sources

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