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We propose a systematic methodology to identify the topological phase transition through a self-supervised machine learning model, which is trained to correlate system parameters to the non-local observables in time-of-flight experiments of…

Quantum Gases · Physics 2021-09-01 Chi-Ting Ho , Daw-Wei Wang

Single atomic sites often determine the functionality and performance of materials, such as catalysts, semi-conductors or enzymes. Computing and understanding the properties of such sites is therefore a crucial component of the rational…

We have designed and implemented a straightforward method to deterministically measure the temperature of the selected segment of a cold atom ensemble, and we have also developed an upgrade in the form of nondestructive thermometry. The…

Atomic Physics · Physics 2020-08-19 Xin Wang , Yuan Sun , Hua-Dong Cheng , Jin-Yin Wan , Yan-Ling Meng , Ling Xiao , Liang Liu

Associated Particle Imaging (API) is a nuclear technique that allows for the nondestructive determination of 3D isotopic distributions. The technique is based on the detection of the alpha particles associated with the neutron emitted in…

Instrumentation and Detectors · Physics 2018-11-22 Mauricio Ayllon Unzueta , Will Mixter , Zachary Croft , John Joseph , Bernhard Ludewigt , Arun Persaud

Hotspot detection using thermal imaging has recently become essential in several industrial applications, such as security applications, health applications, and equipment monitoring applications. Hotspot detection is of utmost importance…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Shreyas Goyal , Jagath C. Rajapakse

We report on a new algorithm for detection of crystallographic information in 3D, as retained in Atom Probe Tomography (APT), with improved robustness and signal detection performance. The algorithm is underpinned by 1D distribution…

Materials Science · Physics 2019-05-22 Daniel Haley , Paul A. J. Bagot , Michael P. Moody

Repeatable and reliable site-specific preparation of specimens for atom probe tomography (APT) at cryogenic temperatures has proven challenging. A generalized workflow is required for cryogenic-specimen preparation including lift-out via…

A home made DSP-controlled scanning probe microscope (SPM) system has been developed and its utilization as a tool for lithography on nanometer scale is reported. User-friendly graphic interface allows to directly perform nanolithography…

Materials Science · Physics 2007-05-23 Pasqualantonio Pingue , Paolo Baschieri , Cesare Ascoli , Michel Dayez

The Probe-Particle Model combine theories designed for the simulation of scanning probe microscopy experiments, employing non-reactive, flexible tip apices to achieve sub-molecular resolution. In the article we present the latest version of…

Mesoscale and Nanoscale Physics · Physics 2024-07-02 Niko Oinonen , Aliaksandr V. Yakutovich , Aurelio Gallardo , Martin Ondracek , Prokop Hapala , Ondrej Krejci

Atomic level qubits in silicon are attractive candidates for large-scale quantum computing, however, their quantum properties and controllability are sensitive to details such as the number of donor atoms comprising a qubit and their…

Mesoscale and Nanoscale Physics · Physics 2020-03-17 Muhammad Usman , Yi Z. Wong , Charles D. Hill , Lloyd C. L. Hollenberg

Single atoms provide an ideal system for utilizing fundamental quantum functions. Their electrons have well-defined energy levels and spin properties. Even more importantly, for a given isotope -- say, $^{12}$C -- all the atoms are…

Mesoscale and Nanoscale Physics · Physics 2022-09-23 Saban M. Hus , An-Ping Li

Scanning transmission electron microscopy (STEM) has advanced rapidly in the last decade thanks to the ability to correct the major aberrations of the probe forming lens. Now atomic-sized beams are routine, even at accelerating voltages as…

Quantum computers based on cold-atom arrays offer long-lived qubits with programmable connectivity, yet their progress toward fault-tolerant operation is limited by the relatively low fidelity of site-selective local control. We introduce…

Quantum Physics · Physics 2025-11-18 Sanghyo Park , Seuk Lee , Keunyoung Lee , Minhyeok Kim , Donggyu Kim

Amorphous silicon (a-Si) is a widely studied non-crystalline material, and yet the subtle details of its atomistic structure are still unclear. Here, we show that accurate structural models of a-Si can be obtained by harnessing the power of…

Automatic visual inspection using machine learning plays a key role in achieving zero-defect policies in industry. Research on anomaly detection is constrained by the availability of datasets that capture complex defect appearances and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Paul J. Krassnig , Dieter P. Gruber

Workflows have been developed in the past decade to enable atom probe tomography analysis at cryogenic temperatures. The inability to control the local deposition of the metallic precursor from the gas-injection system (GIS) at cryogenic…

Materials Science · Physics 2023-06-21 James O. Douglas , Michele Conroy , Finn Giuliani , Baptiste Gault

Atomic probe tomography (APT), based on the work of Erwin Mueller, is able to generate three-dimensional chemical maps in atomic resolution. The required instruments for APT have evolved over the last 20 years from an experimental to an…

Scanning tunneling microscopes (STM) are used extensively for studying and manipulating matter at the atomic scale. In spite of the critical role of the STM tip, the control of the atomic-scale shape of STM tips remains a poorly solved…

Mesoscale and Nanoscale Physics · Physics 2017-12-11 Sumit Tewari , Koen M. Bastiaans , Milan P. Allan , Jan M. van Ruitenbeek

Metals are traditionally considered hard matter. However, it is well known that their atomic lattices may become dynamic and undergo reconfigurations even well-below the melting temperature. The innate atomic dynamics of metals is directly…

Early diagnosis of critical diseases can significantly improve patient survival and reduce treatment costs. However, existing diagnostic techniques are often costly, invasive, and inaccessible in low-resource regions. This paper presents a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Manisha More , Kavya Bhand , Kaustubh Mukdam , Kavya Sharma , Manas Kawtikwar , Hridayansh Kaware , Prajwal Kavhar
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