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We characterize molecular magnet heterojunctions in which sublimated CoPc films as thin as 5 nm are sandwiched between transparent conducting bottom-layer indium tin oxide and top-layer soft-landing eutectic GaIn (EGaIn) electrodes. The…

We demonstrate the use of the magnetic-field-dependence of highly spatially confined, GHz-frequency ferromagnetic resonances in a ferromagnetic nanostructure for the detection of adsorbed magnetic nanoparticles. This is achieved in a large…

This study presents a comprehensive methodology for determining the thermal conductivity (TC) of materials with high reliability. The methodology addresses issues such as surface topographical variations and substrate interference by…

Materials Science · Physics 2025-05-19 Mohsen Dehbashi , Anna Kazmierczak-Balata , Jerzy Bodzenta

Thin films of La0.7Sr0.3MnO3 on MgO show a metal insulator transition and colossal magnetoresistance. The shape of this transition can be explained by intrinsic spatial inhomogeneities, which give rise to a domain structure of conducting…

Strongly Correlated Electrons · Physics 2009-11-07 T. Becker , C. Streng , Y. Luo , V. Moshnyaga , B. Damaschke , Nic Shannon , K. Samwer

The measurement of time-harmonic perturbed field data, at a range of frequencies, is beneficial for practical metal detection where the goal is to locate and identify hidden targets. In particular, these benefits are realised when frequency…

Analysis of PDEs · Mathematics 2020-01-08 P. D. Ledger , W. R. B. Lionheart

We study magnetic-field-dependent nonresonant microwave absorption and dispersion in thin La$_{0.7}$Sr$_{0.3}$MnO$_{3}$ films and show that it originates from the colossal magnetoresistance. We develop the model for magnetoresistance of a…

Strongly Correlated Electrons · Physics 2009-11-13 M. Golosovsky , P. Monod , P. K. Muduli , R. C. Budhani , L. Mechin , P. Perna

Susceptibility measurements of patterned thin films at sub-K temperatures were carried out using a scanning SQUID microscope that can resolve signals corresponding to a few hundred Bohr magnetons. Several metallic and insulating thin films,…

Mesoscale and Nanoscale Physics · Physics 2009-07-28 Hendrik Bluhm , Julie A. Bert , Nicholas C. Koshnick , Martin E. Huber , Kathryn A. Moler

Portable low-cost MRI systems have the potential to enable point-of-care and timely MRI diagnosis, and to make this imaging modality available to routine scans and to underdeveloped areas. With simplicity, no maintenance, no power…

Medical Physics · Physics 2018-12-31 Shao Ying Huang , Zhi Hua Ren , Sergei Obruchkov , Jia Gong , Robin Dykstra , Wenwei Yu

The magnetic properties of La0.7Ca0.3MnO3 (LCMO) manganite thin films were studied with magnetometry and ferromagnetic resonance as a function of film thickness. They maintain the colossal magnetoresistance behavior with a pronounced…

We report that the finite thickness of three-dimensional topological insulator (TI) thin films produces an observable magnetoresistance (MR) in phase coherent transport in parallel magnetic fields. The MR data of Bi2Se3 and (Bi,Sb)2Te3 thin…

Mesoscale and Nanoscale Physics · Physics 2013-07-30 C. J. Lin , X. Y. He , J. Liao , X. X. Wang , V. Sacksteder , W. M. Yang , T. Guan , Q. M. Zhang , L. Gu , G. Y. Zhang , C. G. Zeng , X. Dai , K. H. Wu , Y. Q. Li

The design and fabrication of materials that exhibit both semiconducting and magnetic properties for spintronics and quantum computing has proven difficult. Important starting points are high-purity thin films as well as fundamental…

We have developed a unique micromechanical method to extract extremely thin graphite samples. Graphite crystallites with thicknesses ranging from 10 - 100 nm and lateral size $\sim$ 2 $\mu$m are extracted from bulk. Mesoscopic graphite…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 Yuanbo Zhang , Joshua P. Small , William V. Pontius , Philip Kim

The fabrication of high-quality thin superconducting films is essential for single-photon detectors. Their device performance is crucially affected by their material parameters, thus requiring reliable and nondestructive characterization…

We present a general framework for modeling power magnetic materials characteristics using deep neural networks. Magnetic materials represented by multidimensional characteristics (that mimic measurements) are used to train the neural…

Materials Science · Physics 2025-10-10 Paweł Leszczyński , Kamil Kutorasiński , Marcin Szewczyk , Jarosław Pawłowski

We investigate magnetoresistance phenomena associated with the magnetization hard-axis collapse in polycrystalline Co thin films. Transport measurements reveal that, for specific orientations of the applied magnetic field, the system…

Other Condensed Matter · Physics 2026-05-27 Y. Fernandes , J. Geshev , A. M. H. de Andrade , A. D. C. Viegas

Magnetic phases are commonly identified through macroscopic magnetization, yet many ordered states, including antiferromagnets and altermagnets, possess a vanishing net moment despite distinct local spin structure. We show that such an…

Mesoscale and Nanoscale Physics · Physics 2026-01-14 Rishith Reddy , Parveen Kumar , Ankur Das

Thin film oxides are a source of endless fascination for the materials scientist. These materials are highly flexible, can be integrated into almost limitless combinations, and exhibit many useful functionalities for device applications.…

Materials Science · Physics 2025-06-17 Steven R. Spurgeon

Solid state theory, density functional theory and its generalizations for correlated systems together with numerical simulations on supercomputers allow nowadays to model magnetic systems realistically and in detail and can be even used to…

Materials Science · Physics 2023-10-16 Vladislav Borisov

Perpendicular magnetic anisotropy was found to be highly sensitive to the nominal thickness and morphology of laterally heterogeneous CoPd films in the vicinity of the metal insulator transition. We used the effect to tune the anisotropy by…

Materials Science · Physics 2022-05-04 Gregory Kopnov , Alexander Gerber

Implicit neural representations (INRs) are increasingly being used as tools to map coordinates to signals, encompassing applications from neural fields to texture compression, shape representations, and beyond. Most INR methods are based on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Guillaume Perez , Janarbek Matai , Takahiro Harada
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