Data augmentation using GANN in the quantitative LIBS analysis of scarce samples: a case study on polymetallic nodules from 5000 m ocean depth

作者：Jie Ren, Suming Jiang, Chen Sun, Zhenggang Li, Y. Dong, Ling Chen, Xibin Han, Jin Yu, Wenjun Wu · 发表于：Journal of Analytical Atomic Spectrometry · 年份：2025 · DOI：10.1039/d4ja00412d · 被引用次数：10 · 研究领域：Laser-induced spectroscopy and plasma、Analytical chemistry methods development、Mercury impact and mitigation studies

Generative Adversarial Neural Network (GANN) augmented spectral databases for quantitative LIBS analysis of Ni, Co, and Li in scarce polymetallic nodule samples from 5000 m ocean depth.