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Ionisation rate of helium as a function of peak laser intensity for a laser wavelength of 248.6 nm obtained through a time-dependent Schrödinger equation approach and a one-state approximation within the R-matrix-Floquet approach. Reproduced from Parker et al (2000). © IOP Publishing Ltd. All rights reserved.
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This review summarizes the path-breaking contributions of Philip George Burke (1932–2019) to atomic, molecular, and optical physics, in particular the computational treatment of electron and photon collisions with atoms, ions, and molecules.
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Citations
... In coal mining, gangue as the primary solid waste mixed with coal contributes to a reduction in the efficiency of coal production , thus an efficient separation of coal from gangue is necessary for the clean utilization of coal (O'Keefe et al., 2013;Wu and Chen, 2018); Traditional methods of coal/gangue separation include manual separation, wet separation, and dry separation (Jia et al., 2017;Li, H.L. et al., 2021); Manual separation is not only costly but also severely restricts the efficiency of mineral processing and could adversely affect workers' health (Lv et al., 2020;O'Connor); Wet separation must be carried out in liquid; however, gangue loosens and softens in liquid (Xia et al., 2020;Zhang, M.Q. et al., 2019), leading to numerous problems such as separation difficulty (Altun et al., 2021;Zhang et al., 2021); , an increase in separation cost (Yue et al., 2021;Zhu et al., 2020); . Photoelectric separation does not involve water consumption (Chen et al., 2012); moreover, it could also help improve separation efficiency (Liu et al., 2017) and reduce costs by considering dry coal cleaning Sun et al., 2015). ...
... But his legacy lives on, in the methods he developed, in the continuing work of many other scientists world-wide who are now using those methods and in the ongoing work of the journal CPC and the CCPs. A very recent and detailed account of Phil's contribution to AMO physics has been given by Bartschat et al. (2020). Ken Taylor, who worked with Phil for nearly 50 years, has written the following appreciation: ...
The development of theoretical and computational atomic and molecular physics in the second half of the twentieth century owes a great deal to Phil Burke. His knowledge and insight, his enthusiasm and encouragement, his vision and determination were essential characteristics for the success of his work and that of many others. He developed and used the R-matrix method in the study of the interaction between, on the one hand, atoms and molecules and their ions and, on the other, light or electrons. He published many original research papers and was author or editor of a number of books. Especially significant and far-reaching was his setting up of the journal Computer Physics Communications to enable an international field of scientists, initially to share computer codes, but subsequently also to discuss and develop methods in computational physics. While based at the Daresbury Laboratory, he established a number of Collaborative Computational Projects, thus providing a forum for scientists working in specific scientific disciplines to meet periodically to discuss current issues and in particular how the ever advancing cutting-edge of high-end computing could begin to address previously intractable problems. A consequence was his clarity of thinking about which new computer architectures were needed to make significant advances in each field of study, expertly guiding the UK's provision of high-end computers to academia for over 20 years. He was a clear and methodical teacher, at both graduate and undergraduate level, and was generous with the time he gave to his students. In short, he demonstrated a balanced level of excellence in all aspects of his career. He was a consummate academic and a fine role model for his colleagues.
For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law are presented. The results show that the gray value of single minerals and mixed minerals gradually decreases with the increase of their thickness and density. The greater the density of minerals, the smaller the gray value at the same thickness, and the same rule applies to different coal ranks. Via regression analysis methods, the values of the regression equation parameter a of pure minerals for graphite, quartz, kaolinite, and montmorillonite are 59.25, 65.69, 61.61, and 58.02 in the high-energy region, respectively. In the low-energy region, they are 174.95, 177.31, 186.95, and 161.81. For the regression equation parameter of mixed minerals in the form of two mixed minerals (graphite and quartz, kaolinite, or montmorillonite) and three kinds of mineral mixing (graphite–kaolinite and quartz; graphite–montmorillonite and quartz; graphite–kaolinite and montmorillonite), the gray values are 151.12, 156.00, 153.13,152.43, 152.98, and 151.98 in the high-energy region, respectively; in the low-energy region, they are 193.34, 201.34, 192.93, 191.26, 194.68, and 193.08. The phenomenon for the gray range of two kinds of single minerals locates in the range of mixed minerals that was formed from a single mineral observed after the regression equation of mixed mineral was verified by a single mineral, which agrees with the X-ray recognition pattern. In the end, as the density of coking coal, fat coal, and gas coal increases, the gray value decreases, which was in agreement with single- and mixed-mineral analyses.
