AI-enabled high-throughput characterization of material properties based on indentation response

Lizichen Chen, Gengxuan Zhu, Yuanhao Chen, C. W. Lim, Weiqiu Chen

Open source

DOI: 10.1063/5.0284635
Published: 2026-01-06
Container: MechanoEngineering
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0284635,
  title = {AI-enabled high-throughput characterization of material properties based on indentation response},
  author = {Lizichen Chen and Gengxuan Zhu and Yuanhao Chen and C. W. Lim and Weiqiu Chen},
  year = {2026},
  journal = {MechanoEngineering},
  doi = {10.1063/5.0284635},
  url = {https://doi.org/10.1063/5.0284635}
}

RIS

TY  - JOUR
TI  - AI-enabled high-throughput characterization of material properties based on indentation response
AU  - Lizichen Chen
AU  - Gengxuan Zhu
AU  - Yuanhao Chen
AU  - C. W. Lim
AU  - Weiqiu Chen
PY  - 2026
JO  - MechanoEngineering
DO  - 10.1063/5.0284635
UR  - https://doi.org/10.1063/5.0284635
ER  -

APA

Chen, L., Zhu, G., Chen, Y., Lim, C. W., & Chen, W. (2026). AI-enabled high-throughput characterization of material properties based on indentation response. MechanoEngineering. https://doi.org/10.1063/5.0284635

Source records

crossref · retrieved 2026-09-24T22:05:31.802Z