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X-ray photoelectron spectroscopy combined with Ar+ ion etching is a powerful concept to identify different chemical states of compounds in depth profiles, important for obtaining information underneath surfaces or at layer interfaces. The…

Chemical Physics · Physics 2014-02-11 Roland Steinberger , Jiri Duchoslav , Martin Arndt , David Stifter

We report an interpretation method for deep learning models that allows us to handle high-dimensional spectral data in materials science. The proposed method uses feature extraction and clustering analysis to categorize materials into…

Materials Science · Physics 2025-10-21 Akira Takahashi , Yu Kumagai , Arata Takamatsu , Fumiyasu Oba

This publication presents an investigation of the performance of different analytical electron ptychography methods for low-dose imaging. In particular, benchmarking is performed for two model-objects, monolayer MoS$_2$ and apoferritin, by…

Applied Physics · Physics 2025-05-20 Hoelen L. Lalandec Robert , Max Leo Leidl , Knut Müller-Caspary , Jo Verbeeck

Autonomous synthesis and characterization of inorganic materials requires the automatic and accurate analysis of X-ray diffraction spectra. For this task, we designed a probabilistic deep learning algorithm to identify complex multi-phase…

Materials Science · Physics 2021-05-27 Nathan J. Szymanski , Christopher J. Bartel , Yan Zeng , Qingsong Tu , Gerbrand Ceder

The removal of leaked radioactive iodine isotopes in humid environments holds significant importance in nuclear waste management and nuclear accident mitigation. In this study, high-throughput computational screening and machine learning…

Machine Learning · Computer Science 2025-04-29 Haoyi Tan , Yukun Teng , Guangcun Shan

Depth profiling of thin films by inert gas sputtering is one of the most important applications of Auger electron spectroscopy and X-ray photoelectron spectroscopy. Such an analysis monitors the elemental in-depth composition of the thin…

Materials Science · Physics 2021-01-05 Uwe Scheithauer

This paper reports on the fabrication and characterization of a high purity monocrystalline diamond detector with buried electrodes realized by the selective damage induced by a focused 6 MeV carbon ion beam scanned over a pattern defined…

Instrumentation and Detectors · Physics 2016-08-30 P. Olivero , J. Forneris , M. Jaksic , Z. Pastuovic , F. Picollo , N. Skukan , E. Vittone

Oxynitrides are used in a variety of applications including photocatalysts, high-k dielectrics or wear-resistant coatings and often show intriguing multi-functionality. To accelerate the co-optimization of the relevant material properties…

Linear polarization analysis of hard x-rays is employed to probe electronic anisotropies in metal-containing complexes with very high selectivity. We use the pronounced linear dichroism of nuclear resonant x-ray scattering to determine…

Transition metal ions play crucial roles in the structure and function of numerous proteins, contributing to essential biological processes such as catalysis, electron transfer, and oxygen binding. However, accurately modeling the…

Chemical Physics · Physics 2024-05-21 Frederik K. Jørgensen , Mickaël G. Delcey , Erik D. Hedegård

Compton scattering is one of the few spectroscopies which directly probes the ground state momentum density in materials. Recent progress in synchrotron light sources has brought a renewed interest in the technique as a tool for…

Materials Science · Physics 2007-05-23 A. Bansil , B. Barbiellini

Ion beam analysis techniques are among the most powerful tools for advanced material characterization. Despite their growing relevance in a widening number of fields, most ion beam analysis facilities still rely on the oldest accelerator…

Plasma Physics · Physics 2019-03-06 Matteo Passoni , Luca Fedeli , Francesco Mirani

SIMNRA is widely adopted by the scientific community of ion beam analysis for interpretation of nuclear scattering analysis. Taking advantage of its recognized reliability and quality of the simulations, we developed a computer program that…

Due to the high penetrating power of cosmic ray muons, they can be used to probe very thick and dense objects. As charged particles, they can be tracked by ionization detectors, determining the position and direction of the muons. With…

Image and Video Processing · Electrical Eng. & Systems 2024-10-11 Jesus J. Valencia , Adam A. Hecht , C. L. Morris , E. Guardincerri , D. Poulson , J. Bacon , J. M. Durham

Interpreting spectroscopy data is a critical bottleneck in automating chemical research and industrial characterization. Particularly within infrared (IR) spectroscopy, identifying compounds in complex, liquid-phase chemical mixtures…

Materials Science · Physics 2026-02-26 Yannah J. U. Melle , Thanh Nguyen , Jeffrey Lopez , Daniel Schwalbe-Koda

In this work recently produced and commercially available glazed ceramic object with metallic lustre decoration was studied by using a spectroscopic ellipsometer with rotating compensator. The thickness and metal content of the surface…

We propose a novel data-driven approach for analyzing synchrotron Laue X-ray microdiffraction scans based on machine learning algorithms. The basic architecture and major components of the method are formulated mathematically. We…

Materials Science · Physics 2020-10-12 Yintao Song , Nobumichi Tamura , Chenbo Zhang , Mostafa Karami , Xian Chen

We introduce a novel reflection-mode diffraction tomography technique that enables simultaneous recovery of forward and backward scattering information for high-resolution 3D refractive index reconstruction. Our technique works by imaging a…

Optics · Physics 2025-02-12 Tongyu Li , Jiabei Zhu , Yi Shen , Lei Tian

By adjusting the incidence angle of incoming X-ray near the critical angle of X-ray total reflection, the photoelectron intensity is strongly modulated due to the variation of X-ray penetration depth. Photoelectron spectroscopy (PES)…

Materials Science · Physics 2021-11-23 Julien E. Rault , Cheng-Tai Kuo , Henrique P. Martins , Giuseppina Conti , Slavomir Nemšák

The reconstruction of broad resonances is important for understanding the dynamics of heavy ion collisions. However, large combinatorial background makes this objective very challenging. In this work an innovative iterative method which…

Data Analysis, Statistics and Probability · Physics 2020-01-08 Georgy Kornakov , Tetyana Galatyuk
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