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Structural system identification in the presence of thermal loads is challenging, as unmeasured or poorly modeled thermal effects can mask or mimic damage, leading to unreliable conclusions. This work presents an optimization-driven,…

Optimization and Control · Mathematics 2026-03-11 Talhah Shamshad Ali Ansari , Suneth Warnakulasuriya , Ihar Antonau , Harbir Antil , Rainald Löhner , Roland Wüchner

In context of laser powder bed fusion (L-PBF), it is known that the properties of the final fabricated product highly depend on the temperature distribution and its gradient over the manufacturing plate. In this paper, we propose a novel…

Artificial Intelligence · Computer Science 2023-01-31 Ashkan Mansouri Yarahmadi , Michael Breuß , Carsten Hartmann

The precise measurement of low temperatures is significant for both the fundamental understanding of physical processes and technological applications. In this work, we present a method for low-temperature measurement that improves thermal…

Quantum Physics · Physics 2024-04-23 Asghar Ullah , M. Tahir Naseem , Özgür E. Müstecaplıoğlu

Recent embedded systems are designed with high-performance System-on-Chips (SoCs) to satisfy the computational needs of complex applications widely used in real life, such as airplane controllers, autonomous driving automobiles, medical…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-01 Seyed Mehdi Hosseini Motlagh

We present the application of a fast quasi-adiabatic continuous method to the measurement of specific heat at 4He temperatures, which can be used for the study of a wide range of materials. The technique can be performed in the same…

Materials Science · Physics 2013-06-12 T. Pérez-Castañeda , J. Azpeitia , J. Hanko , A. Fente , H. Suderow , M. A. Ramos

Temperature sensors with micro- and nanoscale spatial resolution have long been explored for their potential to investigate the details of physical systems at an unprecedented scale. In particular, the rapid miniaturization of transistor…

In this paper we focus on analyzing the thermal modality of tactile sensing for material recognition using a large materials database. Many factors affect thermal recognition performance, including sensor noise, the initial temperatures of…

Robotics · Computer Science 2022-11-02 Haoping Bai , Haofeng Chen , Elizabeth Healy , Charles C. Kemp , Tapomayukh Bhattacharjee

We consider a far infrared (terahertz), room-temperature detector based on a microcantilever sensor of the radiation pressure. This system has a significantly higher sensitivity than existing uncooled detectors in the far infrared…

Instrumentation and Detectors · Physics 2007-05-23 Gennady P. Berman , Boris M. Chernobrod , Alan R. Bishop , Vyacheslav N. Gorshkov

The temperature measurement of material inside of an object is one of the key technologies for control of dynamical processes. For this purpose, various techniques such as laser-based thermography and phase-contrast imaging thermography…

Cryogenic CMOS technology (cryo-CMOS) offers a scalable solution for quantum device interface fabrication. Several previous works have studied the characterization of CMOS technology at cryogenic temperatures for various process nodes.…

Applied Physics · Physics 2019-02-20 Chao Luo , Zhen Li , TengTeng Lu , Jun Xu , GuoPing Guo

By combining Three Dimensional Integrated Circuits with the Network-on-Chip infrastructure to obtain 3D Networks-on-Chip (3D-NoCs), the new on-chip communication paradigm brings several advantages on lower power, smaller footprint and lower…

Hardware Architecture · Computer Science 2020-03-20 Khanh N. Dang , Akram Ben Ahmed , Abderazek Ben Abdallah , Xuan-Tu Tran

This paper presents and evaluates a novel method for generating power losses on transistors avoiding high currents. These could heat up the circuit tracks, affecting the accurate thermal modeling of the system. The proposed procedure is…

Systems and Control · Electrical Eng. & Systems 2023-09-05 Jose Miguel Sanz-Alcaine , Francisco Jose Perez-Cebolla , Carlos Bernal-Ruiz , Asier Arruti , Iosu Aizpuru , Juan Sanchez

The thermal sensitive electrical parameter (TSEP) method is crucial for enhancing the reliability of power devices through junction temperature monitoring. The TSEP method comprises three key processes: calibration, regression, and…

Machine Learning · Computer Science 2025-01-10 Qinghao Zhang , Wenrui Li , Pinjia Zhang

The emerging field of phase-coherent caloritronics (from the Latin word "calor", i.e., heat) is based on the possibility to control heat currents using the phase difference of the superconducting order parameter. The goal is to design and…

Mesoscale and Nanoscale Physics · Physics 2017-10-09 Antonio Fornieri , Francesco Giazotto

An in-house Seebeck coefficient measurement system has been developed which can measure the thermoemf (Seebeck coefficient) of the sample, under large temperature difference, in the temperature range 300-600 K. Unlike majority of reported…

Instrumentation and Detectors · Physics 2019-08-16 Soumya Biswas , Aditya S Dutt , Nirmal Sabastian , Vinayak B Kamble

In small satellites there is less room for heat control equipment, scientific instruments, and electronic components. Furthermore, the near proximity of electronic components makes power dissipation difficult, with the risk of not being…

Machine Learning · Computer Science 2025-07-03 Alejandro D. Mousist

A contactless technique for direct time-resolved measurements of the full dynamics of the adiabatic temperature change in electrocaloric materials is introduced. The infrared radiation emitted by the electrocaloric sample is sensitively…

Recent publications have described a method for stand-off optical detection of explosives using resonant infra-red photothermal imaging. This technique uses tuned lasers to selectively heat small particles of explosive lying on a substrate…

Materials Science · Physics 2011-02-18 Philip Cassady

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

We present a precise thermometry system to monitor room-temperature components of a telescope for radio-astronomy such as cosmic microwave background (CMB) observation. The system realizes precision of 1 mK${\rm \sqrt{s}}$ on a timescale of…

Instrumentation and Methods for Astrophysics · Physics 2022-10-04 Daiki Tanabe , Masaya Hasegawa , Masashi Hazumi , Nobuhiko Katayama , Shuhei Kikuchi , Adrian Lee , Haruki Nishino , Satoru Takakura
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