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Room temperature ferromagnetism has been one of the most sought after topics in today's emerging field of spintronics. It is strongly believed that defect- and inhomogeneity- free sample growth should be the optimal route for achieving…

Materials Science · Physics 2012-01-24 Akash Chakraborty , Richard Bouzerar , Stefan Kettemann , Georges Bouzerar

This study was undertaken to develop a system for heat transfer simulation for optimization and treatment planning of magnetic hyperthermia treatment (MHT) using magnetic particle imaging (MPI). First, we performed phantom experiments to…

Medical Physics · Physics 2016-05-27 Natsuo Banura , Atsushi Mimura , Kohei Nishimoto , Kenya Murase

Nanostructured materials, critical for thermal management in semiconductor devices, exhibit a strong size dependence in thermal transport. Studying thermal resistance variation across grain boundaries is critical for designing effective…

Instrumentation and Detectors · Physics 2026-03-12 Ram Munde , Heng-Ray Chuang , Raisul Islam

We present a comprehensive investigation of self-heating in gallium nitride (GaN) high-electron-mobility transistors (HEMTs) through technology computer-aided design (TCAD) simulations and phonon Monte Carlo (MC) simulations. With…

Applied Physics · Physics 2024-01-25 Yang Shen , Bing-Yang Cao

Near-field radiative heat transfer (NFRHT) is strongly related with many applications such as near-field imaging, thermos-photovoltaics and thermal circuit devices. The active control of NFRHT is of great interest since it provides a degree…

Mesoscale and Nanoscale Physics · Physics 2019-07-17 Lixin Ge , Ke Gong , Yuping Cang , Yongsong Luo , Xi Shi , Ying Wu

Transformers have attained superior performance in natural language processing and computer vision. Their self-attention and feedforward layers are overparameterized, limiting inference speed and energy efficiency. Tensor decomposition is a…

Machine Learning · Computer Science 2022-12-01 Jiaqi Gu , Ben Keller , Jean Kossaifi , Anima Anandkumar , Brucek Khailany , David Z. Pan

Understanding microstructural evolution under extreme thermal conditions is essential for advancing metal additive manufacturing (AM). This work demonstrates the feasibility of employing micro-electro-mechanical system (MEMS) heating…

Materials Science · Physics 2026-01-12 C. Koenig , P. Mayr , J. R. Jinschek , A. Bastos Fanta

Thermal relaxation of nanoscale magnetic islands, mimicking Ising macrospins, is indispensable for studies of geometrically frustrated artificial spin systems and low-energy nanomagnetic computation. Currently-used heating schemes based on…

Mesoscale and Nanoscale Physics · Physics 2019-04-24 Matteo Pancaldi , Naëmi Leo , Paolo Vavassori

The design and fabrication of room-temperature ferrotoroidic materials and magnetic semiconductors are recognized worldwide as a great challenge, and of both theoretical and practical importance in the field of condensed matter physics and…

Materials Science · Physics 2026-02-09 Jianyuan Qi , Shijie Xiong , Beining Ma , Xinghai Shen

We present a study of using machine learning to enhance hohlraum design for opacity measurement experiments. For opacity experiments we desire a hohlraum that, when its interior walls are illuminated by theNational Ignition Facility (NIF)…

Instrumentation and Detectors · Physics 2021-03-17 Ryan G. McClarren , I. L. Tregillis , Todd J. Urbatsch , E. S. Dodd

Kapton HN films, adopted worldwide due to their superior thermal durability (up to 400 {\deg}C), allow the high temperature sintering of nanoparticle based metal inks. By carefully selecting inks and Kapton substrates, outstanding thermal…

Nanophotonic engineering of light-matter interaction at subwavelength scale allows thermal radiation that is fundamentally different from that of traditional thermal emitters and provides exciting opportunities for various thermal-photonic…

Metamaterials possess artificial bulk and surface electromagnetic states. Tamed dispersion properties of surface waves allow one to achieve controllable super-Planckian radiative heat transfer (RHT) process between two closely spaced…

Optics · Physics 2016-09-28 Jin Dai , Sergey A. Dyakov , Sergey I. Bozhevolnyi , Min Yan

Ferroelectric domain wall devices offer a promising route to low-voltage, reconfigurable nanoelectronics by confining currents to nanoscale conducting interfaces within an insulating bulk. However, the potential for resistive heating and…

High storage density and high data rate are two of the most desired properties of modern hard disk drives. Heat-assisted magnetic recording (HAMR) is believed to achieve both. Recording media, consisting of exchange coupled grains with a…

Computational Physics · Physics 2017-11-15 Christoph Vogler , Claas Abert , Florian Bruckner , Dieter Suess

The nonlinear Fourier transform (NFT) decomposes waveforms propagating through optical fiber into nonlinear degrees of freedom, which are preserved during transmission. By encoding information on the nonlinear spectrum, a transmission…

Signal Processing · Electrical Eng. & Systems 2020-12-24 Jan-Willem Goossens , Hartmut Hafermann , Yves Jaouën

We predict a huge anisotropic thermal magnetoresistance (ATMR) in the near-field radiative heat transfer between magneto-optical particles when the direction of an external magnetic field is changed with respect to the heat current…

The nonlinear Fourier transform has the potential to overcome limits on performance and achievable data rates which arise in modern optical fiber communication systems when nonlinear interference is treated as noise. The periodic nonlinear…

Signal Processing · Electrical Eng. & Systems 2020-12-24 Jan-Willem Goossens , Hartmut Hafermann , Yves Jaouën

Hyperbolic metamaterials (HMMs) support propagating waves with arbitrarily large wavevectors over broad spectral ranges, and are uniquely valuable for engineering radiative thermal transport in the near field. Here, by employing a rational…

Optics · Physics 2022-02-04 Qizhang Li , Haiyu He , Qun Chen , Bai Song

Heat transfer in semiconductor devices is dominated by chip and substrate assemblies, where heat generated within a finite chip layer dissipates into a semi-infinite substrate with much higher thermophysical properties. This mismatch…

Machine Learning · Computer Science 2025-12-03 Wenhao Sha , Tienchong Chang