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X-ray diffraction is ideal for probing sub-surface state during complex or rapid thermomechanical loading of crystalline materials. However, challenges arise as the size of diffraction volumes increases due to spatial broadening and…

Materials Science · Physics 2025-01-10 Rachel E. Lim , Shun-Li Shang , Chihpin Chuang , Thien Q. Phan , Zi-Kui Liu , Darren C. Pagan

Efficient thermal management is essential for the reliability of modern power electronics, where increasing device density leads to severe heat dissipation challenges. However, in thin-film systems, thermal transport is often compromised by…

We report on key signal contributions in photothermal deflection spectroscopy (PDS) of semiconductors at photon energies below the bandgap energy and show how to extract the actual absorption properties from the measurement data. To this…

Materials Science · Physics 2019-07-24 Walter Dickmann , Johannes Dickmann , Florian Feilong Bruns , Stefanie Kroker

Measuring temperature fields in semi-transparent media requires the knowledge of material thermo-optic properties. While the current techniques are well established for isothermal thin films, they remain unexplored for thick media where…

Applied Physics · Physics 2025-05-02 Jordan Letessier , Abel Netter , Jérémie Maire , Stéphane Chevalier

Thermal resistances from interfaces impede heat dissipation in micro/nanoscale electronics, especially for high-power electronics. Despite the growing importance of understanding interfacial thermal transport, advanced thermal…

Materials Science · Physics 2021-03-16 Zhe Cheng , Fengwen Mu , Xiaoyang Ji , Tiangui You , Wenhui Xu , Tadatomo Suga , Xin Ou , David G. Cahill , Samuel Graham

The rapidly increasing number of 2-dimensional (2D) materials that have been isolated or synthesized provides an enormous opportunity to realize new device functionalities. Whereas their optical and electrical characterization have been…

Applied Physics · Physics 2019-11-26 Mizanur Rahman , Mohammadreza Shahzadeh , Simone Pisana

Advances in next-generation hypersonic hot structures, high heat-flux fusion or fission components, and laser based additive manufacturing depend on reliable solid state thermal conductivity data at high and ultrahigh temperatures, where…

Transition metal dichalcogenides (TMDs) have been a core constituent of 2D material research throughout the last decade. Over this time, research focus has progressively shifted from synthesis and fundamental investigations, to exploring…

Heat transport in two-dimensions is fundamentally different from that in three dimensions. As a consequence, the thermal properties of 2D materials are of great interest, both from scientific and application point of view. However, few…

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

A fundamental pursuit of microwave metrology is the determination of the characteristic impedance profile of microwave systems. Among other methods, this can be practically achieved by means of time-domain reflectometry (TDR) that measures…

Data Analysis, Statistics and Probability · Physics 2018-04-16 J. R. Rinehart , J. H. Béjanin , T. C. Fraser , M. Mariantoni

Lattice thermal conductivity (LTC) is a critical parameter for thermal transport properties, playing a pivotal role in advancing thermoelectric materials and thermal management technologies. Traditional computational methods, such as…

Materials Science · Physics 2025-09-22 Yuxuan Zeng , Wei Cao , Yijing Zuo , Tan Peng , Yue Hou , Ling Miao , Ziyu Wang , Jing Shi

This paper presents deep unfolding neural networks to handle inverse problems in photothermal radiometry enabling super resolution (SR) imaging. Photothermal imaging is a well-known technique in active thermography for nondestructive…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Samim Ahmadi , Linh Kästner , Jan Christian Hauffen , Peter Jung , Mathias Ziegler

Negative differential thermal resistance (NDTR) can be generated for any one-dimensional heat flow with a temperature-dependent thermal conductivity. In a system-independent scaling analysis, the general condition for the occurrence of NDTR…

Mesoscale and Nanoscale Physics · Physics 2015-06-18 Ho-Kei Chan , Dahai He , Bambi Hu

Probing detailed spectral dependence of phonon transport properties in bulk materials is critical to improve the function and performance of structures and devices in a diverse spectrum of technologies. Currently, such information can only…

Materials Science · Physics 2015-12-23 Yanguang Zhou , Xiaoliang Zhang , Ming Hu

We present a sparse sensing framework based on Dynamic Mode Decomposition (DMD) to identify flow regimes and bifurcations in large-scale thermo-fluid systems. Motivated by real-time sensing and control of thermal-fluid flows in buildings…

Dynamical Systems · Mathematics 2017-06-26 Boris Kramer , Piyush Grover , Petros Boufounos , Mouhacine Benosman , Saleh Nabi

Nondestructive detecting defects (NDD) in concrete structures have been explored for decades. Although limited successes were reported, major limitations still exist. The major limitations are the high noises to signal ratio created from…

Image and Video Processing · Electrical Eng. & Systems 2019-04-11 Chongsheng Cheng , Zhigang Shen

From nano-scale heat transfer point of view, currently one of the most interesting and challenging tasks is to quantitatively analyzing phonon mode specific transport properties in solid materials, which plays vital role in many emerging…

Mesoscale and Nanoscale Physics · Physics 2015-12-23 Yanguang Zhou , Ming Hu

Hyperspectral image classification plays a pivotal role in precision agriculture, providing accurate insights into crop health monitoring, disease detection, and soil analysis. However, traditional methods struggle with high-dimensional…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Fuyin Ye , Erwen Yao , Jianyong Chen , Fengmei He , Junxiang Zhang , Lihao Ni

Two-dimensional transition metal dichalcogenides (TMDs) exhibit remarkable thermal anisotropy due to their strong intralayer covalent bonding and weak interlayer van der Waals (vdW) interactions. However, accurately modeling their thermal…

Computational Physics · Physics 2025-05-02 Wenwu Jiang , Hekai Bu , Ting Liang , Penghua Ying , Zheyong Fan , Jianbin Xu , Wengen Ouyang
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