Qionghua Xie, Yifan Hao, Guocheng Yao, Cong Wang and Liangshi Wang
Green Chem., 2026,28, 6970-6982
Abstract
The SO42− ionic atmosphere and thermal-field phase reconstruction enable the green and efficient recovery of both rare earth and fluorine resources.
Raven L. Buckman and Alexander Gundlach-Graham
Anal. Methods, 2024,16, 5802-5811
Abstract
We use Monte Carlo methods to simulate spICP-TOFMS signals and explore the influence of particle and instrument parameters on recorded data.
Haiyue Xue, Guozhi Lv, Long Wang, Jiawei Ren, Xinxin Zhao and Ting-an Zhang
React. Chem. Eng., 2025,10, 2960-2971
Abstract
To address the environmental risks associated with the smelting process of mixed rare earth ores, this study proposes an alumina-based fluorine-fixation carbochlorination collaborative metallurgical technology.
Raven L. Buckman and Alexander Gundlach-Graham
J. Anal. At. Spectrom., 2023,38, 1244-1252
From themed collection:
Fast Transient Signals – Getting the most out of Multidimensional Data
Abstract
A two-stage semi-supervised machine learning approach was developed as a robust method to classify cerium-rich engineered, incidental, and natural nanoparticles measured by spICP-TOFMS.
Alex Gundlach-Graham, Stasia Harycki, Sarah E. Szakas, Tristen L. Taylor, Hark Karkee, Raven L. Buckman, Shahnaz Mukta, Rui Hu and Woolin Lee
J. Anal. At. Spectrom., 2024,39, 704-711
From themed collection:
Fast Transient Signals – Getting the most out of Multidimensional Data
Abstract
TOF-SPI is software for accurate, robust, and high-throughput analysis of single-particle ICP-TOFMS data.