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Po-Yen Tung

University of Cambridge

Trinity Ln

Cambridge, CB2 1TN

United Kingdom

SCHOLARLY PAPERS

4

DOWNLOADS

167

TOTAL CITATIONS

3

Scholarly Papers (4)

1.

Formation Mechanism of Brown Etching Layers in Pearlitic Rail Steel

Number of pages: 33 Posted: 01 Aug 2022
University of Cambridge, Max Planck Institute for Iron Research, Max Planck Institute for Iron Research and Max Planck Institute for Iron Research
Downloads 88 (759,537)

Abstract:

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Pearlitic rail steel, White Etching Layer, Brown Etching Layer, Cementite decomposition, Transmission Electron Microscopy, Atom probe tomography

2.

Effects of Ausforming on the Microstructure and Stability of Blocky Austenite in Nanostructured Bainite

Number of pages: 29 Posted: 25 Aug 2024
Po-Yen Tung, S.P. Tsai, Yu-Ting Tsai and Jer-Ren Yang
University of Cambridge, National Taiwan University - Department of Materials Science and Engineering, affiliation not provided to SSRN and National Taiwan University
Downloads 32 (1,290,922)

Abstract:

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Nanostructured bainite, Ausforming, Cryogenic treatment, Coalesced bainite, Mechanical stabilisation, Crystallography

3.

Efficacy of Green Infrastructure in Reducing Exposure to Local, Traffic-Related Sources of Airborne Particulate Matter (Pm)

Number of pages: 56 Posted: 14 Jul 2023
affiliation not provided to SSRN, Lancaster University, University of Cambridge, University of Cambridge and affiliation not provided to SSRN
Downloads 30 (1,318,317)
Citation 3

Abstract:

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Air pollution, Green infrastructure, Particulate matter, Vehicular pollution, Mitigation, Magnetism

4.

BAOSA: Benchmarking Active Optimization for Self-driving lAboratories

Number of pages: 68 Posted: 07 Feb 2026
University of Cambridge, University of Rochester, Tsinghua University, Peking University, affiliation not provided to SSRN, City University of Hong Kong (CityU), affiliation not provided to SSRN and City University of Hong Kong (CityU)
Downloads 17 (1,491,251)

Abstract:

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Active optimization, Self-driving laboratories, Benchmark, Surrogate models, Reproducibility