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Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth

open access: yesAdvanced Theory and Simulations, Volume 9, Issue 2, February 2026.
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira   +3 more
wiley   +1 more source

City-level GDP estimates for China under alternative pathways from 2020 to 2100. [PDF]

open access: yesSci Data
Sun J   +8 more
europepmc   +1 more source

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