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
Amplifying performance, combustion, and emission characteristics of a CRDI engine using diesel-WCO methyl ester-dyglyme ternary fuel blends with carbon nanotubes. [PDF]
Jajimoggala S +8 more
europepmc +1 more source
Using internal air injection for fuel mixing enhancement of annular hydrogen jet behind an inclined strut in a supersonic combustor: computational study. [PDF]
Bouazzi Y +7 more
europepmc +1 more source
Performance and emission optimization of a CRDI engine in RCCI mode using hydrogen enriched biodiesel through grey relational analysis approach. [PDF]
Shinil Kumar AD, Hebballi VV, Panda JK.
europepmc +1 more source
Particle Number Emissions From Compression Ignition Engines: A Critical Review of Current Understandings. [PDF]
Fu Z +5 more
europepmc +1 more source
Investigation of hydrogen influence on compression ignition engine fuelled with pyrolysis blends using experimental and RSM methods. [PDF]
Kumar KS +5 more
europepmc +1 more source
Trajectory optimization for auxiliary power unit operation of an extender range electric vehicle. [PDF]
Yang Y, Tian J, Jia B.
europepmc +1 more source
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