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Updated: Mar 1, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
Corrección sistemática de espectros de pérdida de núcleo mediante aprendizaje automático: tendiendo un puente entre
Yinan Wang1, Yu Fujikata2, Louis Wong1
1Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro, Tokyo 153-8505, Japan.
Un nuevo modelo de aprendizaje automático corrige errores en simulaciones de ciencia de materiales computacional. Esta herramienta predice con precisión espectros experimentales, acelerando el descubrimiento y análisis de materiales.
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