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Ongoing advances in scanning probe microscopy techniques are continually expanding the possibilities for nanoscale characterization and correlated studies of functional materials. Here, we demonstrate how a recent extension of piezoresponse…

Materials Science · Physics 2026-01-21 Ruben Dragland , Jan Schultheiß , Ivan N. Ushakov , Roger Proksch , Dennis Meier

We describe MIFS, a second generation integral-field spectrograph for the VLT, operating in the visible wavelength range. It combines a 1'x1' field of view with the improved spatial resolution provided by multi-conjugate adaptive optics and…

In this paper we present a new machine learning workflow with unsupervised learning techniques to identify domains within atomic force microscopy images obtained from polymer films. The goal of the workflow is to identify the spatial…

Image and Video Processing · Electrical Eng. & Systems 2024-09-23 Aanish Paruchuri , Yunfei Wang , Xiaodan Gu , Arthi Jayaraman

We present polynomial force reconstruction from experimental intermodulation atomic force microscopy (ImAFM) data. We study the tip-surface force during a slow surface approach and compare the results with amplitude-dependence force…

Mesoscale and Nanoscale Physics · Physics 2013-02-08 Daniel Platz , Daniel Forchheimer , Erik A. Tholen , David B. Haviland

The presence of electrostatic forces and associated artifacts complicates the interpretation of piezoresponse force microscopy (PFM) and electrochemical strain microscopy (ESM). Eliminating these artifacts provides an opportunity for…

Mesoscale and Nanoscale Physics · Physics 2021-12-20 Jason P. Killgore , Larry Robins , Liam Collins

Kelvin Probe Force Microscopy (KPFM) is widely used to measure the surface potential on samples, from which electrostatic patch force can be calculated. However, since the KPFM measurements represent a weighted average of local potentials…

Mesoscale and Nanoscale Physics · Physics 2025-01-22 Kun Shi , Pengshun Luo , Jinquan Liu , Hang Yin , Zebing Zhou

We have characterized a new Magnetic Force Microscopy (MFM) probe based on an iron filled carbon nanotube (FeCNT) using MFM imaging on permalloy (Py) disks saturated in a high magnetic field perpendicular to the disk plane. The experimental…

We investigate the magnetization dynamics through the magnetoimpedance effect in ferromagnetic NiFe/Cu/Co films. We observe that the magnetoimpedance response is dependent on the thickness of the non-magnetic Cu spacer material, a fact…

Materials Science · Physics 2015-06-22 E. F. Silva , M. Gamino , A. M. H. de Andrade , M. A. Corrêa , M. Vázquez , F. Bohn

Magnetic particle imaging (MPI) offers exceptional contrast for magnetic nanoparticles (MNP) at high spatio-temporal resolution. A common procedure in MPI starts with a calibration scan to measure the system matrix (SM), which is then used…

Image and Video Processing · Electrical Eng. & Systems 2022-11-04 Alper Güngör , Baris Askin , Damla Alptekin Soydan , Emine Ulku Saritas , Can Barış Top , Tolga Çukur

Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to infer estimates of local tissue magnetism (magnetic susceptibility), which has been shown useful to provide novel image contrast and as biomarkers of abnormal tissue.…

Medical Physics · Physics 2019-04-16 Juan Liu , Kevin M. Koch

We investigate the simultaneous estimation of the intensity and the orientation of a magnetic field by the multi-parameter quantum Fisher information matrix. A general expression is achieved for the simultaneous estimation precision of the…

Quantum Physics · Physics 2019-08-13 Dong Xie , Chunling Xu

Dynamic properties of NiFe thin films on PMN-PT piezoelectric substrate are investigated using the spin-diode method. Ferromagnetic resonance (FMR) spectra of microstrips with varying width are measured as a function of magnetic field and…

Atomic force microscopy (AFM) enables high-resolution imaging and quantitative force measurement, which is critical for understanding nanoscale mechanical, chemical, and biological interactions. In dynamic AFM modes, however, interaction…

Instrumentation and Detectors · Physics 2025-06-10 Simon Laflamme , Bugrahan Guner , Omur E. Dagdeviren

Shape effects in magnetic particles are widely studied, because of the ability of the shape and the size to control the parameters of a sample during its production. Experiments with nano-sized samples show that the shape can affect also…

Mesoscale and Nanoscale Physics · Physics 2013-06-19 Svitlana V. Kondovych , Helen V. Gomonay , Vadim M. Loktev

Quantitative magnetic resonance imaging (qMRI) is concerned with estimating (in physical units) values of magnetic and tissue parameters e.g., relaxation times $T_1$, $T_2$, or proton density $\rho$. Recently in [Ma et al., Nature, 2013],…

Optimization and Control · Mathematics 2019-03-29 Guozhi Dong , Michael Hintermüller , Kostas Papafitsoros

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses significant modeling challenges. Conventional…

Modelling complex line emission in the interstellar medium (ISM) is a degenerate, high-dimensional problem. Here, we present McFine, a tool for automated multi-component fitting of emission lines with complex hyperfine structure, in a fully…

Astrophysics of Galaxies · Physics 2024-09-11 Thomas G. Williams , Elizabeth J. Watkins

Multimode fibers (MMFs) can transmit multiple guided modes simultaneously, making them a promising platform for high-resolution biomedical imaging, endoscopy and high-bandwidth optical communication. However, their complex modal behavior,…

Optics · Physics 2026-05-28 Dvir Marsh , Lior Fridman , Stav Lotan , Amit Kam , Shie Mannor , Guy Bartal

We present technical details on an experimental setup that allows to measure magnetic losses in electrical steel sheets and the movement of magnetic domains on the sample surface simultaneously. The setup is suitable to investigate grain…

Quantization-aware training (QAT) is typically performed for a single target numeric format, while practical deployments often need to choose numerical precision at inference time based on hardware support or runtime constraints. We study…

Machine Learning · Computer Science 2026-04-02 Zifei Xu , Sayeh Sharify , Hesham Mostafa