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The standard method to determine the transition temperature (Tg) of glass transition is the jump in the specific heat. Despite this importance, standard theory for this jump is lacking. The difficulties encompass from lack of proper…

Disordered Systems and Neural Networks · Physics 2022-07-27 Koun Shirai , Kota Watanabe , Hiroyoshi Momida

Using a distinguishable-particle lattice model based on void-induced dynamics, we successfully reproduce the well-known linear relation between heat capacity and temperature at very low temperatures. The heat capacity is dominated by…

Soft Condensed Matter · Physics 2022-12-14 Xin-Yuan Gao , Hai-Yao Deng , Chun-Shing Lee , J. Q. You , Chi-Hang Lam

We present the design and implementation of a new, modular gas target suitable for high-order harmonic generation using high average power lasers. To ensure thermal stability in this high heat load environment, we implement an appropriate…

The room temperature liquid metal is quickly emerging as an important functional material in a variety of areas like chip cooling, 3D printing or printed electronics etc. With diverse capabilities in electrical, thermal and flowing…

Soft Condensed Matter · Physics 2014-02-10 Lei Sheng , Jie Zhang , Jing Liu

Fully exploiting the silicon photonics platform requires a fundamentally new approach to realize high-performance laser sources that can be integrated directly using wafer-scale fabrication methods. Direct band gap III-V semiconductors…

A new method called `Configurational Temperature' is introduced in the context of dusty plasma, where the temperature of the dust particles, submerged in the plasma, can be measured directly from the positional information of the individual…

Plasma Physics · Physics 2020-06-24 Rupak Mukherjee , Surabhi Jaiswal , Manish K Shukla , Ammar Hakim , Edward Thomas

Machine learning (ML) methods provide advanced means for understanding inherent patterns within large and complex datasets. Here, we employ the principal component analysis (PCA) and the diffusion map (DM) techniques to evaluate the glass…

Soft Condensed Matter · Physics 2024-07-01 Artem Glova , Mikko Karttunen

Temperature sensing and control systems are widely used in the closed-loop control of critical processes such as maintaining the thermal stability of patients, or in alarm systems for detecting temperature-related hazards. However, the…

Cryptography and Security · Computer Science 2019-09-25 Yazhou Tu , Sara Rampazzi , Bin Hao , Angel Rodriguez , Kevin Fu , Xiali Hei

We have considered the dynamical evolution of cellular patterns controlled by a stochastic Glauber process determined by the deviations of local cell topology from that of a crystalline structure. Above a critical temperature evolution is…

Disordered Systems and Neural Networks · Physics 2009-10-31 Tomaso Aste , David Sherrington

We review some recent results on finite dimensional spin glasses by studying recent numerical simulations and their relationship with experiments. In particular we will show results obtained at zero and non zero temperature, focusing in the…

Condensed Matter · Physics 2009-09-29 J. J. Ruiz-Lorenzo

The regulation of temperature at the macro and microscale is a major energy-consuming process of humankind. Modern cooling systems account for 15% of the global energy consumption and are responsible for 10% of greenhouse gas emissions. Due…

Dirac-Frenkel variational method with Davydov D2 trial wavefunction is extended by introducing a thermalization algorithm and applied to simulate dynamics of a general open quantum system. The algorithm allows to control temperature…

Quantum Physics · Physics 2021-03-04 Mantas Jakučionis , Darius Abramavičius

Laser cooled atoms have proven transformative for precision metrology, playing a pivotal role in state-of-the-art clocks and interferometers, and having the potential to provide a step-change in our modern technological capabilities. To…

Atomic Physics · Physics 2022-10-12 J. P. McGilligan , K. Gallacher , P. F. Griffin , D. J. Paul , A. S. Arnold , E. Riis

Digital twins (DT) of industrial processes have become increasingly important. They aim to digitally represent the physical world to help evaluate, optimize, and predict physical processes and behaviors. Therefore, DT is a vital tool to…

Software Engineering · Computer Science 2023-02-28 Yunpeng Ma , Khalil Younis , Bestoun S. Ahmed , Andreas Kassler , Pavel Krakhmalev , Andreas Thore , Hans Lindback

We propose a synthesis method for the design of digital twins applicable to various systems (pneumatic, hydraulic, electrical/electronic circuits). The methodology allows representing the operation of these systems through an active digital…

Systems and Control · Electrical Eng. & Systems 2024-10-01 Veyis Gunes

To stabilize the working temperature of an equipment, a solid-state thermal resistor is usually a requisite, which could adjust its heat conductance continuously according to the temperature. In this work, the thermal conductivity and the…

Mesoscale and Nanoscale Physics · Physics 2025-01-14 Congliang Huang , Changkang Du , Qiangqiang Huang , Xiaodong Wang

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

The glass transition temperature $T_{\rm g}$ and the temperature $T_{\alpha}$ corresponding to the peak in the dielectric loss due to the $\alpha$-process have been simultaneously determined as functions of film thickness d through…

Soft Condensed Matter · Physics 2009-10-31 Koji Fukao , Yoshihisa Miyamoto

Cold metals are a class of metals with an intrinsic energy gap located close to the Fermi level, which enables cold-carrier injection for steep-slope transistors and is therefore promising for low-power electronic applications.…

Materials Science · Physics 2026-03-17 Kedeng Wu , Yucheng Zhu , Yan Chen , Bizhu Zhang , Shuyu Liu , Xiaobin Deng , Yabei Wu , Liangliang Zhu , Hang Xiao

The observation of coherent quantum transport phenomena in metals and semiconductors is limited by the eventual loss of phase coherence of the conducting electrons. We use the weak localization effect to measure the low-temperature…

Mesoscale and Nanoscale Physics · Physics 2010-08-27 M. Eshkol , E. Eisenberg , M. Karpovski , A. Palevski
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