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Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

Contributions of the radonorm project to European and international radiation protection research. [PDF]

open access: yesRadiat Environ Biophys
John W   +9 more
europepmc   +1 more source

The Newton-X platform for mixed quantum-classical dynamics.

open access: yesPhys Chem Chem Phys
Barbatti M   +30 more
europepmc   +1 more source
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Uniqueness in Nuclear Norm Minimization: Flatness of the Nuclear Norm Sphere and Simultaneous Polarization

Journal of Optimization Theory and Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tim Hoheisel, Elliot Paquette
openaire   +2 more sources

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