# Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis

https://mdr.nims.go.jp/datasets/f4533fee-74c1-4ebd-a8d9-7edf51b89898

## File

- [Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis.pdf](https://mdr.nims.go.jp/filesets/5b32d30f-9442-46e0-80ab-21235f31e0bc/download) ([Detail](https://mdr.nims.go.jp/filesets/5b32d30f-9442-46e0-80ab-21235f31e0bc.md))

## Id

f4533fee-74c1-4ebd-a8d9-7edf51b89898

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-06-27T06:27:18.317443Z

## Updated at

2025-07-16T07:14:58.055037Z

## Published at

2025-06-27T23:19:42.249939Z

## Doi

https://doi.org/10.48505/nims.5551

## First published url

https://doi.org/10.1080/14686996.2025.2523240

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Time-domain thermoreflectance technique using multiple delayed probe pulses
    for high-throughput data acquisition and analysis
  title_type: original
  lang: en

## Description

- description: To advance thermal control technology, improve thermal reuse efficiency,
    and further enhance device performance, it is crucial to understand microscopic
    spatial and temporal heat transport in materials. In this study, we developed
    a high-throughput time-domain thermoreflectance (HT-TDTR) technique that accelerates
    the measurement speed of thermophysical properties. The fundamental concept involves
    decomposing supercontinuum light into a pump pulse (1064 nm) and multiple delayed
    probe pulses (900 nm–730 nm) with different delays, enabling simultaneous acquisition
    of thermoreflectance signals at multiple delay times. Quartz glass, SrTiO3 (100)
    single crystal, and c-plane sapphire were heated with picosecond pulsed light,
    and the temporal temperature decrease at six delay times was simultaneously measured.
    The thermal effusivities analyzed based on heat diffusion equation were consistent
    with the literature values. Furthermore, we applied machine learning-based analysis
    and demonstrated the ability to determine thermophysical properties from measurement
    data consisting of only a few delay points. With sufficient signal strength, machine
    learning can predict a reasonable thermal effusivity based on experimental data
    obtained in less than a second. HT-TDTR enables rapid and accurate measurement
    of samples based on information about thermal relaxation dynamics, facilitating
    more efficient characterization of thermophysical properties.
  description_type: abstract
  lang: en

## Creator

- name: Hiroto Arima
  role: author
  organization: National Institute of Advanced Industrial Science and Technology (AIST)
  department: National Metrology Institute of Japan (NMIJ)
- name: Yuichiro Yamashita
  role: author
- name: Takashi Yagi
  role: author

## Contact agent



## Publisher

organization: Taylor & Francis

## Managing organization



## Keyword

- subject: Time-domain thermoreflectance
  schema: not_defined
- subject: multiple delay
  schema: not_defined
- subject: thin film
  schema: not_defined
- subject: thermal effusivity
  schema: not_defined
- subject: interfacial thermal resistance
  schema: not_defined
- subject: machine learning
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Science and Technology of Advanced Materials
  issn: '14686996'
  volume: '26'
  article_number: '2523240'

## Conference



## Related item



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## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



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## Fileset

- id: 5b32d30f-9442-46e0-80ab-21235f31e0bc
  filename: Time-domain thermoreflectance technique using multiple delayed probe pulses
    for high-throughput data acquisition and analysis.pdf
  content_type: application/pdf
  size: 5078790
  md5: f79360e0c66b5250d147e569ed030b5f

## Thumbnail

fileset_id: 5b32d30f-9442-46e0-80ab-21235f31e0bc
filename: Time-domain thermoreflectance technique using multiple delayed probe pulses
  for high-throughput data acquisition and analysis.pdf