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A somewhat different fundamental parameters approach to EDXRF quantification of solid environmental samples EDXRF固体环境样品定量的基本参数方法有些不同
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-05-18 DOI: 10.1002/xrs.3352
P. Kump
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引用次数: 0
Towards understanding the TiO 2 doping at the surface and bulk 理解TiO2在表面和体相的掺杂
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-05-12 DOI: 10.1002/xrs.3363
A. Wach, Xianshao Zou, K. Wojtaszek, Y. Kayser, C. Garlisi, Giovanni Palmisano, J. Sá, J. Szlachetko
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引用次数: 0
# EXSA2021 , EXSA first virtual conference in X‐ray Spectrometry # EXSA2021, EXSA首次X射线光谱虚拟会议
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-05-09 DOI: 10.1002/xrs.3356
D. Eichert, M. Kolbe
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引用次数: 0
A fast‐integrated x‐ray emission spectrometer dedicated to the investigation of Pt presence in gold Celtic coins (3rd–1st century BCE ) 用于调查凯尔特金币(公元前3 - 1世纪)中铂含量的快速集成x射线发射光谱仪
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-05-03 DOI: 10.1002/xrs.3354
A. Zymaková, V. Kantarelou, S. Stanček, Daniel Bursák, A. Danielisová, D. Anagnostopoulos, M. Greplova Zakova, W. Błachucki, J. Andreasson, D. Margarone
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引用次数: 2
A background correction method for energy‐dispersive x‐ray fluorescence spectra based on morphological operation 基于形态运算的能量色散x射线荧光光谱背景校正方法
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-05-03 DOI: 10.1002/xrs.3353
Wei Zhao, Xianyun Ai, Xiong Xiao, Wuyun Xiao, Sheng Qi, Jinglun Li, Jian-yu Zhang, Wenming Lei
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引用次数: 0
Analysis of Coronado State Historic Site artifacts using X‐rays 科罗纳多州历史遗址文物的X射线分析
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-04-16 DOI: 10.1002/xrs.3350
Steven G. Young, James Valdez, M. Espy, Alex Edgar, J. Brett, M. Pettes, Clay Mathers, Matthew Barbour, B. Patterson
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引用次数: 0
Calendar Article 日历的文章
4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-04-13 DOI: 10.1002/xrs.3347
Kenji Sakurai
Materials Research Society 2023 Spring Meeting San Francisco, California, USA https://www.mrs.org/meetings-events/spring-meetings-exhibits/2023-mrs-spring-meeting 2023 International Congress on Emerging Fields and Exploratory Research in Optics and Photonics (OPIC2023) Hybrid (PACIFICO Yokohama, Japan) https://opicon.jp/ 17th European Workshop on MODERN DEVELOPMENTS AND APPLICATIONS IN MICROBEAM ANALYSIS (EMAS 2023) Krakow, Poland https://www.microbeamanalysis.eu/events/event/60-emas-2023-17th-european-workshop-on-modern-developments-and-applications-in-microbeam-analysis International conference on analytical techniques in art and cultural heritage (TECHNART 2023) Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal https://technart2023.com/ TOPAS School “Structure Determination and Refinement” ICDD Headquarters, Newtown Square, PA, USA https://www.icdd.com/topas-school/ 17th Pharmaceutical Powder X-ray Diffraction Symposium (PPXRD-17) ICDD Headquarters, Newtown Square, PA, USA https://www.icdd.com/ppxrd/ Lehigh Microscopy School Lehigh University, Bethlehem, PA USA http://www.lehigh.edu/microscopy/ ICDD X-ray Diffraction Clinics-Session I-Fundamentals of X-ray Powder Diffraction ICDD Headquarters, Newtown Square, PA, USA http://www.icdd.com/xrd/ ICDD X-ray Diffraction Clinics-Session II-Advanced Methods in X-ray Powder Diffraction ICDD Headquarters, Newtown Square, PA, USA http://www.icdd.com/xrd/ 15th International Conference on Quasicrystals (ICQ15) Tel Aviv University, Israel https://www.icq15.sites.tau.ac.il/ 24th International Workshop on Radiation Imaging Detectors Oslo, Norway https://www.iworid.science/ International Workshop on the Characterisation and Quantification of Lithium, from the Micro- to the Nano-Scale, from Mining to Energy Paris, France https://cqlmns.sciencesconf.org/ Colloquium Spectroscopicum Internationale XLIII (CSI XLIII) Tokushima, Japan https://j-libs.org/CSI2023_ASLIBS2023/index.html High Precision X-Ray Measurements 2023 INFN Laboratories of Frascati, Italy https://hpxm2023.github.io/ Observing Complex Systems in Space and Time with Tailormade X-Rays from Next-Generation Sources (Gordon X-ray Science Conference) Stonehill College, Easton, MA, USA https://www.grc.org/x-ray-science-conference/2023/ 38th International Cosmic Ray Conference (ICRC2023) Nagoya University, Nagoya, Japan https://www.icrc2023.org/ 25th National School on Neutron and X-ray Scattering (NX School) Oak Ridge National Laboratory's Spallation Neutron Source and High Flux Isotope Reactor and virtual or hybrid experiments at Argonne's Advanced Photo Source, USA https://www.anl.gov/education/national-school-on-neutron-and-xray-scattering 72nd Annual Denver X-ray Conference (DXC 2023) The Westin Chicago Lombard, Lombard, Illinois, USA https://www.dxcicdd.com/ ACS Fall 2023 San Francisco, CA, USA https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html Q2XAFS 2023 (International Workshop on Improving Data Quali
第73届丹佛x射线会议(DXC 2024)美国科罗拉多州威斯敏斯特威斯汀酒店https://www.dxcicdd.com/第16届国际x射线显微镜会议(XRM 2024)瑞典隆德市斯塔斯塔尔隆德https://www.xrm2024.com/ ACS秋季会议2024美国科罗拉多州丹佛https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html第15届同步辐射仪器国际会议(SRI 2024)汉堡,德国https://www.sri2024.eu/第22届NKS挪威x射线会议挪威https://www.xraynorway.no/日本第60届x射线化学分析年会https://xbun.jsac.jp/conference.html材料研究学会2024秋季会议美国马萨诸塞州波士顿https://www.mrs.org/meetings-events/fall-meetings-exhibits 2025匹兹堡会议(PITTCON 2025)美国马萨诸塞州波士顿http://www.pittcon.org/美国材料研究学会2025年3月会议洛杉矶,CA,美国https://www.aps.org/meetings/meeting.cfm?name=MAR25 ACS春季2025美国圣地亚哥https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html材料研究学会2025春季会议美国西雅图,华盛顿https://www.mrs.org/meetings-events/spring-meetings-exhibits第74届丹佛x射线年会(DXC 2025)美国https://www.dxcicdd.com/ ACS秋季2025华盛顿特区美国https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html材料研究学会2025年秋季会议美国波士顿,MA, USA https://www.mrs.org/meetings-events/fall-meetings-exhibits 2026匹兹堡会议(PITTCON 2026)费城,PA, USA http://www.pittcon.org/美国材料研究学会2026年3月会议科罗拉多州丹佛美国https://www.aps.org/meetings/meeting.cfm?name=MAR26 ACS春季2026美国https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html材料研究学会2026春季会议美国https://www.mrs.org/meetings-events/spring-meetings-exhibits第75届丹佛x射线年会(DXC 2026)美国https://www.dxcicdd.com/第27届国际晶体学联合会大会(IUCr 2026)卡尔加里,阿尔伯塔,加拿大ACS 2026美国秋季会议https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html美国材料研究学会2026秋季会议https://www.mrs.org/meetings-events/fall-meetings-exhibits 2027匹兹堡会议(PITTCON 2027)圣地亚哥,CA, USA http://www.pittcon.org/美国材料研究学会2027年3月会议美国https://www.aps.org/meetings/meeting.cfm?name=MAR27 ACS 2027年春季美国https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html材料研究学会2027年春季https://www.mrs.org/meetings-events/spring-meetings-exhibits第76届美国丹佛x射线会议(DXC 2027)美国https://www.dxcicdd.com/ ACS 2027年秋季美国https://www.acs.org/content/acs/en/meetings/acs-meetings/about/future-meetings.html材料研究学会2027年秋季会议上美国https://www.mrs.org/meetings-events/fall-meetings-exhibits
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引用次数: 0
An analytical computed microtomography methodology for identification of microplastic fragments in aqueous media 用于鉴定水介质中微塑料碎片的分析计算机微断层扫描方法
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-04-13 DOI: 10.1002/xrs.3351
R. P. Funcke, O. D. de Araújo, A. Machado, D. Oliveira, R. Lopes
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引用次数: 0
News Article 新闻文章
4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-04-13 DOI: 10.1002/xrs.3346
Kenji Sakurai
Possible impacts of Large Language Models on X-ray spectroscopy (March 17, 2023). Recent announcement of releasing OpenAI's Generative Pretrained Transformer 4 (GPT-4) could mark the beginning of a new era of the practical application of artificial intelligence. Compared with the previous versions of OpenAI's Large Language Models (LLM), its function in handling the images even in the text-based chat system is surprising. In the presentation, which has been archived as a Youtube video (https://www.youtube.com/live/outcGtbnMuQ?feature=share), the chat system can handle a screenshot image of a handwriting note with some sketch, and can instantly transform it into an html code. Then one can create a new Web page. In addition, the reasoning ability has been upgraded considerably from the previous version, which had not been very good; previous ChatGPT seems to give the correct answer only to 26% of the junior high school level mathematics problems (see, for example, Simon Frieder et al., “Mathematical Capabilities of ChatGPT”, https://arxiv.org/abs/2301.13867). The new version seems to be much better and is now quite good at the tax calculation and the bar exam problem. Generally, the ability of text-based job has become further better than ever. The number of characters that can be handled has increased, and overall processing has become higher quality. One of the recent interesting discussions on the application of artificial intelligence to spectroscopy has been described in the article, by Jerome Workman, Jr., and Howard Mark, “Artificial Intelligence in Analytical Spectroscopy, Part I: Basic Concepts and Discussion”, Spectroscopy, 38, (2), 13–22 (2023). https://doi.org/10.56530/spectroscopy.og4284z8. Some of the related contents have been also discussed in the podcast, Analytically Speaking Podcast Episode 9, “Automating Advanced Chemometric Methods for Data Processing” (https://www.spectroscopyonline.com/view/ep-9-automating-advanced-chemometric-methods-for-data-processing). As the present artificial intelligence is more powerful in handling billions of images, for a while, image-based scientific applications could be preceding (see, for example, Lei Zhang and Shaofeng Shao, “Image-based machine learning for materials science”, Journal of Applied Physics 132, 100701 (2022). https://doi.org/10.1063/5.0087381; Samantha Phan and Christine K. Luscombe, “Recent trends in marine microplastic modeling and machine learning tools: Potential for long-term microplastic monitoring”, Journal of Applied Physics 133, 020701 (2023). https://doi.org/10.1063/5.0126358). On the same day of the announcement of GPT-4, Anthropic Inc, which is a rival company founded by former Open AI employees, released Claude. It has been tested in private systems on systems such as Notion, Quora, and DuckDuckGo, and has been very well received. The LLM and its application such as chatbots will be used more frequently than before. On the other hand, the system is like a black box,
大型语言模型对x射线光谱学的可能影响(2023年3月17日)。最近发布的OpenAI生成预训练变压器4 (GPT-4)可能标志着人工智能实际应用的新时代的开始。与之前版本的OpenAI的大型语言模型(LLM)相比,即使在基于文本的聊天系统中,它在处理图像方面的功能也令人惊讶。在这个已经存档为Youtube视频(https://www.youtube.com/live/outcGtbnMuQ?feature=share)的演示中,聊天系统可以处理带有草图的手写笔记的截图图像,并可以立即将其转换为html代码。然后可以创建一个新的Web页面。此外,推理能力也比之前的版本有了很大的提升,之前的版本不是很好;以前的ChatGPT似乎只给出了26%的初中数学问题的正确答案(例如,参见Simon Frieder等人的“ChatGPT的数学能力”,https://arxiv.org/abs/2301.13867)。新版本似乎要好得多,现在在税收计算和律师考试问题上相当出色。总的来说,基于文本的工作能力比以往任何时候都要好。可以处理的字符数量增加了,整体处理质量提高了。Jerome Workman, Jr.和Howard Mark在文章中描述了最近关于人工智能在光谱学中的应用的有趣讨论之一,“分析光谱学中的人工智能,第一部分:基本概念和讨论”,光谱学,38,(2),13-22(2023)。https://doi.org/10.56530/spectroscopy.og4284z8。一些相关的内容也在播客中讨论过,analytical Speaking播客第9集,“自动化先进的化学计量方法用于数据处理”(https://www.spectroscopyonline.com/view/ep-9-automating-advanced-chemometric-methods-for-data-processing)。由于目前的人工智能在处理数十亿张图像方面更加强大,因此在一段时间内,基于图像的科学应用可能会领先(例如,参见张磊和邵绍峰,“基于图像的机器学习用于材料科学”,Journal of Applied Physics 132, 100701(2022)。https://doi.org/10.1063/5.0087381;Samantha Phan和Christine K. Luscombe,“海洋微塑料建模和机器学习工具的最新趋势:长期微塑料监测的潜力”,应用物理学报133,020701(2023)。https://doi.org/10.1063/5.0126358)。GPT-4公布的同一天,由Open AI前员工创立的竞争公司Anthropic Inc也发布了Claude。它已经在诸如Notion、Quora和DuckDuckGo等系统上的私有系统中进行了测试,并且得到了很好的好评。法学硕士及其应用程序(如聊天机器人)将比以前使用得更频繁。另一方面,系统就像一个黑盒子,因此我们在考虑一些实际用途时需要小心(例如,参见Noah Giansiracusa,“三种简单的方法使AI聊天机器人更安全”,科学美国人,2023年3月17日,https://www.scientificamerican.com/article/three-easy-ways-to-make-ai-chatbots-safer/)。
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引用次数: 0
How to paint a bouquet: MA‐XRF analysis of 17th century Netherlandish flower still lifes from the Mauritshuis 如何画花束:MA‐XRF分析17世纪荷兰花静物从毛里茨韦
IF 1.2 4区 物理与天体物理 Q3 SPECTROSCOPY Pub Date : 2023-04-11 DOI: 10.1002/xrs.3348
M. Albrecht, S. Meloni, C. Pottasch, A. Vandivere, A. van Loon
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引用次数: 0
期刊
X-Ray Spectrometry
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