Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

• URL: http://arxiv.org/abs/2604.28148v2
• Date: Mon, 04 May 2026 16:41:29 GMT
• Title: Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source
• Abstract summary: The device integrates junctions with linear or nonlinear interlayer resistive elements to perform simultaneous sensing and in-sensor compression.<n>We focus on the single-event (1-sparse) operation and define four performance metrics: range, efficiency, sensitivity, and accuracy.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The device integrates thermoelectric junctions with linear or nonlinear interlayer resistive elements to perform simultaneous sensing and in-sensor compression. We focus on the single-event (1-sparse) operation and define four performance metrics: range, efficiency, sensitivity, and accuracy. Numerical modeling shows that a linear resistive interlayer flattens the sensitivity distribution and improves minimum sensitivity by approximately tenfold for a $16\times16$ mesh. Nonlinear temperature-dependent interlayers further enhance minimum sensitivity at scale: a ceramic negative-temperature-coefficient (NTC) layer over 973-1273K yields a $\sim14{,}500\times$ higher minimum sensitivity than the linear design at a $200\times200$ mesh, while a VO$_2$ interlayer modeled across its metal-insulator transition (MIT) over 298-373K yields a $\sim24\times$ improvement. Using synthetic 1-sparse datasets with white boundary-channel noise at a signal-to-noise ratio of 40dB, the VO$_2$ case achieved $98\%$ localization accuracy, a mean absolute temperature error of $0.23$K, and a noise-equivalent temperature (NET) of $0.07$K. For the ceramic-NTC case no localization errors were observed under the tested conditions, with a mean absolute temperature error of $1.83$K and a NET of $1.49$K. These results indicate that ThermoMesh could enable energy-efficient embedded thermal sensing in scenarios where conventional infrared imaging is limited, such as molten-droplet detection or hot-spot monitoring in harsh environments.

Related papers

• AI for Science with GPT-6 Astra: Thermal Design and Electrothermal Analysis of 2D CFET [3.6003855507124896]
  2D CFET inverters require testing structural proposals against their electrical costs.<n>We examine these research tasks using an AI agent workflow within a supplied electrothermal model.<n>Results show that an AI scientist workflow can propose thermal structures, test them under common constraints, and quantify their electrical cost.
  arXiv  Detail & Related papers  (2026-09-15T12:48:44Z)
• Fast On-Chip Thermometry with TiN Kinetic Inductance Resonators in 22 nm Process Technology [1.6334978973977712]
  We demonstrate a time-resolved thermometry platform based on TiN kinetic inductance resonators integrated in a 22 nm FDSOI chip.<n>By tracking temperature-dependent shifts in the resonant frequency, we achieve sub-millikelvin temperature sensitivity down to temperatures of 100 mK.
  arXiv  Detail & Related papers  (2026-08-27T12:42:43Z)
• Electrical thermography via centimetre-scale fiber-based distributed temperature sensing [0.0]
  Raman-based Distributed Temperature Sensor (RDTS) with centimetre-scale resolution for thermographic analysis of electronic circuits.<n>Temperature is measured along a single-mode fiber routed across a custom printed circuit board.
  arXiv  Detail & Related papers  (2025-11-14T11:29:36Z)
• Physics Informed Neural Networks for design optimisation of diamond particle detectors for charged particle fast-tracking at high luminosity hadron colliders [70.66815108184498]
  Future high-luminosity hadron colliders demand tracking detectors with extreme radiation tolerance, high spatial precision, and sub-nanosecond timing.<n>3D diamond pixel sensors offer these capabilities due to diamond's radiation hardness and high carrier mobility.<n>We model the phenomenon through a 3rd-order, 3+1D PDE derived as a quasi-stationary approximation of Maxwell's equations.
  arXiv  Detail & Related papers  (2025-09-25T13:09:28Z)
• Temperature calibration of surface emissivities with an improved thermal image enhancement network [8.19646340914779]
  Infrared thermography faces persistent challenges in temperature accuracy due to material emissivity variations.<n>This study introduces a physically guided neural framework that unifies temperature correction and image enhancement.
  arXiv  Detail & Related papers  (2025-06-20T07:40:05Z)
• Thermalization of a flexible microwave stripline measured by a superconducting qubit [0.0]
  Flexible microwave striplines offer the tantalyzing perspective of increasing the cabling density by an order of magnitude without thermally overloading the cryostat. We use a superconducting quantum circuit to test the thermalization of input flex cables with integrated $60,$dB of attenuation distributed at various temperature stages. We confirm that the qubit reaches an effective temperature of $26.4,$mK, close to the base temperature of the cryostat, practically the same as when using a conventional semi-rigid coaxial cable setup.
  arXiv  Detail & Related papers  (2024-10-01T20:26:49Z)
• TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection [58.00308680221481]
  Infrared small target detection (ISTD) is critical to national security and has been extensively applied in military areas. Most ISTD networks focus on designing feature extraction blocks or feature fusion modules, but rarely describe the ISTD process from the feature map evolution perspective. We propose Thermal Conduction-Inspired Transformer (TCI-Former) based on the theoretical principles of thermal conduction.
  arXiv  Detail & Related papers  (2024-02-03T05:51:22Z)
• Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls [3.8529213379135148]
  This paper proposes an online two-stage thermal history prediction method, which could be integrated into a metal AM process for performance control. Fifteen wire arc AM experiments and nine simulations are designed for thin walls with a fixed length and unidirectional printing of each layer. The proposed prediction method could construct the thermal history of a yet-to-print layer within 0.1 seconds on a low-cost desktop computer.
  arXiv  Detail & Related papers  (2023-10-24T18:58:36Z)
• Site-Selective Enhancement of Superconducting Nanowire Single-Photon Detectors via Local Helium Ion Irradiation [0.0]
  We utilize local helium ion irradiation to tune single-photon detection efficiency, switching current, and critical temperature of individual devices on the same chip. For 12nm thick highly absorptive SNSPDs, we observe an increase of the system detection efficiency from $ 0.05,%$ to $(55.3 pm 1.1),%$ following irradiation. Investigations of the scaling of superconducting thin film properties with irradiation up to a fluence of $2600 revealed an increase of sheet resistance and a decrease of critical temperature towards high fluences.
  arXiv  Detail & Related papers  (2023-05-23T15:51:13Z)
• Measurement of the Low-temperature Loss Tangent of High-resistivity Silicon with a High Q-factor Superconducting Resonator [58.720142291102135]
  We present the direct loss tangent measurement of a high-resist intrinsicivity (100) silicon wafer in the temperature range from 70 mK to 1 K. The measurement was performed using a technique that takes advantage of a high quality factor superconducting niobium resonator.
  arXiv  Detail & Related papers  (2021-08-19T20:13:07Z)
• Temperature insensitive type II quasi-phasematched spontaneous parametric downconversion [62.997667081978825]
  The temperature dependence of the refractive indices of potassium titanyl phosphate (KTP) are shown to enable quasi-phasematched type II spontaneous parametric downconversion. We demonstrate the effect experimentally, observing temperature-insensitive degenerate emission at 1326nm, within the telecommunications O band. This result has practical applications in the development of entangled photon sources for resource-constrained environments.
  arXiv  Detail & Related papers  (2020-12-09T16:14:15Z)
• Controlling Rayleigh-B\'enard convection via Reinforcement Learning [62.997667081978825]
  The identification of effective control strategies to suppress or enhance the convective heat exchange under fixed external thermal gradients is an outstanding fundamental and technological issue. In this work, we explore a novel approach, based on a state-of-the-art Reinforcement Learning (RL) algorithm. We show that our RL-based control is able to stabilize the conductive regime and bring the onset of convection up to a Rayleigh number.
  arXiv  Detail & Related papers  (2020-03-31T16:39:25Z)
• Force and acceleration sensing with optically levitated nanogram masses at microkelvin temperatures [57.72546394254112]
  This paper demonstrates cooling of the center-of-mass motion of 10 $mu$m-diameter optically levitated silica spheres to an effective temperature of $50pm22 mu$K. It is shown that under these conditions the spheres remain stably trapped at pressures of $sim 10-7$ mbar with no active cooling for periods longer than a day.
  arXiv  Detail & Related papers  (2020-01-29T16:20:35Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.