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ML-Enhanced Synthesis of 2D Materials by Ashok Manna is a document available to read on EtoBox.
What is ML-Enhanced Synthesis of 2D Materials about?
The article discusses the use of machine learning (ML) to assist in the synthesis of two-dimensional (2D) materials, specifically focusing on MoS2 synthesized via chemical vapor deposition (CVD). Four ML algorithms were evaluated, with XGBoost performing the best, achieving over 88% accuracy and highlighting the significant impact of parameters like reaction temperature on synthesis outcomes. The study demonstrates that ML can effectively reduce trial-and-error time in material synthesis, providing a framew
- Author
- Ashok Manna
- Language
- EN