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Time-Domain Thermoreflectance (TDTR) characterization of FeRh throughout its first-order antiferromagnetic (AF) to ferromagnetic (FM) transition shows that the transient reflectance, $\Delta$R(t)/R, strongly depends on the magnetic order of…

Resistive RAM (RRAM) devices are candidates for neuromorphic computing devices in which the functionality lies in the formation and reversible rupture and gap-closing of conducting filaments in insulating layers. To explore the thermal…

Mesoscale and Nanoscale Physics · Physics 2025-01-31 Nele Harnack , Sophie Rodehutskors , Bernd Gotsmann

The electrochemical frequency modulation (EFM) technique can consider as a new tool for electrochemical corrosion monitoring. The calculation of corrosion rate with a non-destructive and rapid technique is a necessity to study corrosion…

Applied Physics · Physics 2018-11-06 Mahdi Mohajeri , Behrouz Haghgouyan , Homero Castaneda , Dimitris C. Lagoudas

High-resolution temperature monitoring is essential for many engineering and scientific applications, but conventional sensors are limited by insufficient resolution and susceptibility to electromagnetic interference. Fiber-optic…

Optics · Physics 2026-04-28 Jingwen Yang , Long Chen , Haoliang Yu , Xiaofeng Jin , Jianxiang Miao , Jia Kong

Accurate temperature measurement at the nanoscale is crucial for thermal management in next-generation microelectronic devices. Existing optical and scanning-probe thermometry techniques face limitations in spatial resolution, accuracy, or…

This paper introduces a thermal infrared detector utilizing a nano-optomechanical silicon nitride (SiN) resonator, equipped with a free-space impedance-matched (FSIM) absorber composed of a platinum (Pt) thin film, offering a broadband…

Instrumentation and Detectors · Physics 2025-05-12 Paolo Martini , Stefan Emminger , Kostas Kanellopulos , Niklas Luhmann , Markus Piller , Robert Greyson West , Silvan Schmid

The implementation and control of room temperature ferromagnetism (RTFM) by adding magnetic atoms to a semiconductor's lattice has been one of the most important problems in solid state state physics in the last decade. Herein we report for…

Strongly Correlated Electrons · Physics 2019-08-08 Brett Leedahl , Zahra Abooalizadeh , Kyle LeBlanc , Alexander Moewes

We present a theoretical study of the ultrafast electron dynamics in transition metals using ultrashort pulsed laser beams. The significant influence of the contribution of the dynamics of produced nonthermal electrons to electron…

Materials Science · Physics 2016-12-14 George D. Tsibidis

Many of the iron pnictides have strongly anisotropic normal-state characteristics, important for the exotic magnetic and superconducting behavior these materials exhibit. Yet, the origin of the observed anisotropy is unclear. Electronically…

We present an advanced thermal response model for micro- and nanomechanical systems in photothermal sensing, designed to balance speed and precision. Our model considers the two time constants of the nanomechanical element and the…

The effect of scattering of conduction electrons by dynamical spin fluctuations on the thermopower in metals near a thermal phase transition into an antiferromagnetic phase is considered. We are interested in a transition at room…

Mesoscale and Nanoscale Physics · Physics 2021-09-08 Peter Wölfle , Timothy Ziman

Electronic nematicity in iron pnictide materials is coupled to both the lattice and the conducting electrons, which allows both structural and transport observables to probe nematic fluctuations and the order parameter. Here we combine…

Strongly Correlated Electrons · Physics 2021-11-10 Joshua J Sanchez , Paul Malinowski , Joshua Mutch , Jian Liu , J-W. Kim , Philip J Ryan , Jiun-Haw Chu

Heat-Assisted Magnetic Recording (HAMR) has promise to allow for data writing in hard disks of beyond 1 Tb/in2 areal density, by temporarily heating the area of a single datum to its Curie temperature while simultaneously applying a…

Optics · Physics 2014-07-15 Samarth Bhargava , Eli Yablonovitch

In this work, we develop a numerical fitting routine to extract multiple thermal parameters using frequency-domain thermoreflectance (FDTR) for materials having non-standard, non-semi-infinite geometries. The numerical fitting routine is…

Studies of the copper-based superconductors demonstrate how their phase diagram becomes more complex as experimental probes improve, able to distinguish among subtly different electronic phases. One of those phases, nematicity, has become…

Superconductivity · Physics 2019-05-21 Marcin Matusiak , Michal Babij

Neural time-series analysis has traditionally focused on modeling data in the time domain, often with some approaches incorporating equivalent Fourier domain representations as auxiliary spectral features. In this work, we shift the main…

Machine Learning · Computer Science 2024-10-08 Minjung Kim , Yusuke Hioka , Michael Witbrock

We review the recent developments in electronic Raman scattering measurements of charge nematic fluctuations in iron-based superconductors. A simple theoretical framework of a $d$-wave Pomeranchuk transition is proposed in order to capture…

Superconductivity · Physics 2016-02-17 Yann Gallais , Indranil Paul

This paper describes the effects of electronic nonequilibrium in a simulation of ultrafast laser irradiation of materials. The simulation scheme based on tight-binding molecular dynamics, in which the electronic populations are traced with…

Materials Science · Physics 2023-12-29 Nikita Medvedev

The nuclear magnetic relaxation time $T_1$ in ferrimagnetic insulators is calculated by a Raman process of hyperfine interaction with a meanfield approximation. It is found that the 1/$T_1$ on one site rapidly increases near the…

Materials Science · Physics 2020-10-07 Michiyasu Mori

A machine-learning non-contact method to determine the temperature of a laser gain medium via its laser emission with a trained few-layer neural net model is presented. The training of the feed-forward Neural Network (NN) enables the…

Optics · Physics 2024-10-31 Jakob Mannstadt , Arash Rahimi-Iman
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