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X-ray reflectivity (XRR) is widely used for thin-film structure analysis, and XRR data analysis involves minimizing the difference between an XRR curve calculated from model parameters describing the thin-film structure. This analysis takes…

Disordered Systems and Neural Networks · Physics 2022-03-31 Kook Tae Kim , Dong Ryeol Lee

X-ray absorption spectroscopy of thin films is central to a broad range of scientific fields, and is typically detected using indirect techniques. X-ray excited optical luminescence (XEOL) from the sample's substrate is one such detection…

Applied Physics · Physics 2021-01-07 Cinthia Piamonteze , Yoav William Windsor , Sridhar R. V. Avula , Eugenie Kirk , Urs Staub

The integration of machine learning and robotics into thin film deposition is transforming material discovery and optimization. However, challenges remain in achieving a fully autonomous cycle of deposition, characterization, and…

Materials Science · Physics 2026-02-24 Yuanlong Zheng , Connor Blake , Layla Mravac , Fengxue Zhang , Yuxin Chen , Shuolong Yang

X-ray resonant magnetic reflectivity (XRMR) is a powerful method to determine the optical, structural and magnetic depth profiles of a variety of thin films. Here, we investigate samples of different complexity all measured at the Pt L$_3$…

In this paper, we develop a novel phase retrieval approach to reconstruct x-ray differential phase shift induced by an object. A primary advantage of our approach is a higher-order accuracy over that with the conventional linear…

Medical Physics · Physics 2010-03-18 Wenxiang Cong , Ge Wang

Determining crystal structures from X-ray diffraction data is fundamental across diverse scientific fields, yet remains a significant challenge when data is limited to low resolution. While recent deep learning models have made…

Materials Science · Physics 2025-10-22 Jiale Zhao , Cong Liu , Yuxuan Zhang , Chengyue Gong , Zhenyi Zhang , Shifeng Jin , Zhenyu Liu

An algorithm is developed for structure identification of amorphous carbonaceous nanomaterials with a joint x-ray and neutron diffraction data analysis, using the data on the chemical composition of the sample from other diagnostics. The…

Materials Science · Physics 2013-01-16 V. S. Neverov , V. V. Voloshinov , A. B. Kukushkin , A. S. Tarasov

Powder X-ray diffraction (XRD) is a foundational technique for characterizing crystalline materials. However, the reliable interpretation of XRD patterns, particularly in multiphase systems, remains a manual and expertise-demanding task. As…

Materials Science · Physics 2026-02-24 Yuxing Fei , Matthew J. McDermott , Christopher L. Rom , Shilong Wang , Gerbrand Ceder

The main objective of this study was to develop a novel method of characterizing nanomaterials based on the number of layers without the aid of state-of-the-art electron and force microscopes. While previous research groups have attempted…

Applied Physics · Physics 2018-12-11 Daniel Cui , Tom Goldstein , Jun Yan

Structural variants compose the majority of human genetic variation, but are difficult to assess using current genomic sequencing technologies. Optical mapping technologies, which measure the size of chromosomal fragments between labeled…

Quantitative Methods · Quantitative Biology 2019-10-10 Weiwei Li , Jan Hannig , Corbin Jones

Measuring thermal properties of materials is not only of fundamental importance in understanding the transport processes of energy carriers (electrons and phonons) but also of practical interest in developing novel materials with desired…

Materials Science · Physics 2018-11-14 Puqing Jiang , Xin Qian , Ronggui Yang

The appraisal of metallic materials requires application of advanced characterisation techniques. In this paper, the use has been made of Scanning Electron Microscopy, Transmission Electron Microscopy, X-ray diffraction (XRD) and Energy…

Materials Science · Physics 2016-10-27 David N. Githinji

Thin films of VO$_2$ on different substrates, Al$_2$O$_3$ and SiO$_2$/Si, have been prepared and characterized from room temperature up to 360 K. From the band structure in the rutile metallic phase and in the monoclinic insulating phase…

Strongly Correlated Electrons · Physics 2016-09-21 Tobias Peterseim , Martin Dressel , Marc Dietrich , Angelika Polity

Photochromic materials enable dynamic optical modulation through reversible transitions between distinct absorption states, with broad potential for smart windows, adaptive optics, and reconfigurable photonic devices. Micron-scale…

Computational Physics · Physics 2026-02-19 Bahrem Serhat Danis , Amin Tabatabaei Mohseni , Smagul Karazhanov , Esra Zayim

Thin film metallic glasses undergoing devitrification can form partially crystallized or fully crystallized materials with novel structural and magnetic properties. The development of desired and tunable properties of such systems drives…

Materials Science · Physics 2022-10-20 Debarati Bhattacharya , Nidhi Tiwari , P. S. R. Krishna , Dibyendu Bhattacharyya

Accurately determining the crystallographic structure of a material, organic or inorganic, is a critical primary step in material development and analysis. The most common practices involve analysis of diffraction patterns produced in…

The controlled fabrication and chiroptical characterization of microscale chiral structures remain central challenges in photonics, sensing, and metamaterial engineering. Here we demonstrate an accessible, low-cost platform that combines…

Optics · Physics 2026-05-07 Jing Xu , Rik Strobbe , Yovan de Coene , Renaud A. L. Vallée , Koen Clays

The values of the signal-to-noise ratio are determined, at which the method of processing X-ray diffraction data reveals reflections with intensity less than the noise component of the background. The possibilities of the method are…

Vanadium dioxide is a complex oxide material, which shows large resistivity and optical reflectance change while transitioning from the insulator to metal phase at ~68 {\deg}C. In this work, we use a modified atmospheric thermal oxidation…

Applied Physics · Physics 2021-05-24 P Ashok , Yogesh Singh Chauhan , Amit Verma

High entropy oxides (HEOs) are a class of materials with vast compositional space and tunable properties, making them attractive for applications in thermoelectrics, magnetism, ionic conduction, and beyond. However, their metastable nature…