# Experiment-in-loop interactive optimization of polymer composites for “5G-and-beyond” communication technologies

https://mdr.nims.go.jp/datasets/33322e9b-550a-4148-9641-0107dfa2d509

## File

- [d4mh01606h.pdf](https://mdr.nims.go.jp/filesets/0d1fddcb-009d-4ec2-8ae1-29e77c950239/download) ([Detail](https://mdr.nims.go.jp/filesets/0d1fddcb-009d-4ec2-8ae1-29e77c950239.md))

## Id

33322e9b-550a-4148-9641-0107dfa2d509

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-05-22T00:57:12.691906Z

## Updated at

2025-05-22T23:30:21.819653Z

## Published at

2025-05-22T07:32:06.434058Z

## Doi



## First published url

https://doi.org/10.1039/d4mh01606h

## Date published

2025-02-21

## Recorded date published

2025-5-19

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Experiment-in-loop interactive optimization of polymer composites for “5G-and-beyond”
    communication technologies
  title_type: original
  lang: en

## Description

- description: "“Fifth-generation-and-beyond” communication technologies have sparked
    considerable demand for polymer composite materials with low coefficients of thermal
    expansion (CTE) and low dielectric loss at high operation frequencies. However,
    the complexity of process parameters and the lack of knowledge about fabrication
    procedures hinder this goal. In this study, state-of-the-art experiment-in-loop
    Bayesian optimization (EiL-BO) was developed to optimize a composite of a perfluoroalkoxyalkane
    matrix with silica fillers. The Gaussian process equipped with an automatic relevance
    determination kernel that automatically adjusts the scaling parameters of individual
    dimensions effectively enhances EiL-BO's ability to search for candidates in a
    complex and anisotropic multidimensional space. This addresses the critical challenge
    of handling problems with high-dimensional parameters and is capable of managing
    eight-dimensional parameters, including filler morphology, surface chemistry,
    and compounding process parameters. The obtained optimal composite shows a low
    CTE of 24.7 ppm K−1 and an extinction coefficient of 9.5 × 10−4, outperforming
    the existing polymeric composite, revealing exceptionally effective and versatile
    EiL-BO that accelerates the development of advanced materials."
  description_type: abstract
  lang: und

## Creator

- name: Bin Xu
  role: author
- name: Touchy Abeda Sultana
  role: author
- name: Koki Kitai
  role: author
- name: Jiang Guo
  role: author
- name: Toyomitsu Seki
  role: author
- name: Ryo Tamura
  role: author
  orcid: https://orcid.org/0000-0002-0349-358X
- name: Koji Tsuda
  role: author
  orcid: https://orcid.org/0000-0002-4288-1606
- name: Junichiro Shiomi
  role: author
  orcid: https://orcid.org/0000-0002-3552-4555

## Contact agent



## Publisher

organization: Royal Society of Chemistry (RSC)

## Managing organization



## Keyword

- subject: polymer composite
  schema: not_defined
- subject: Experiment-in-loop interactive optimization
  schema: not_defined

## Rights

- identifier: cc-by-nc-3.0

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: Materials Horizons
  issn: '20516347'
  volume: '12'
  issue: '10'
  start_page: 3332
  end_page: 3340

## Conference



## Related item



## Funding



## 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



## Computational method



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## Fileset

- id: 0d1fddcb-009d-4ec2-8ae1-29e77c950239
  filename: d4mh01606h.pdf
  content_type: application/pdf
  size: 3709429
  md5: 2f58034b0a09d27ae8071f38faeb251b

## Thumbnail

fileset_id: 0d1fddcb-009d-4ec2-8ae1-29e77c950239
filename: d4mh01606h.pdf