Appointment: Associate Professor

Research topics:

• The main research interest of Dr. Wei’s Lab is to fundamentally address the needs and challenges for scalable fabrication processes to produce flexible devices down to the nanometer-scale.

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Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
Apr 2, 2025
Wei, Lei, 2023, "Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing", https://doi.org/10.21979/N9/ELSU4C, DR-NTU (Data), V6, UNF:6:fbYGOsdEDYbW7MrnIlZoLA== [fileUNF]
TE Analysis
Source data_Figure 2.tab
Apr 2, 2025 - Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
Tabular Data - 58.6 KB - 14 Variables, 504 Observations - UNF:6:5LbUDEkQ+ZciTsm9JtZF9Q==
Figure 2 source data
Source data_Figure 3.tab
Apr 2, 2025 - Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
Tabular Data - 3.0 KB - 8 Variables, 35 Observations - UNF:6:b5N44/DsSiaRDfWrPU1iIg==
Figure 3 source data
Source data_Figure 4.xlsx
Apr 2, 2025 - Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
MS Excel Spreadsheet - 3.6 MB - MD5: 048e8af4ad51c17aaf7a53586f73c93d
Figure 4 source data
Source data_Figure 5.xlsx
Apr 2, 2025 - Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
MS Excel Spreadsheet - 11.3 KB - MD5: 35086a6a21fc0fb8621d36377c1ded1e
Figure 5 source data
Source data_Figure 6.xlsx
Apr 2, 2025 - Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
MS Excel Spreadsheet - 101.8 MB - MD5: 972c6a8f28231dd384aecb9ca4a75fc3
Figure 6 source data
training for machine learning.py
Mar 24, 2024 - Replication Data for: A thermogalvanic cell dressing for smart wound monitoring and accelerated healing
Python Source Code - 1.6 KB - MD5: 213d549f4c08fa765930fb5b6255a688
Replication Data for: High-quality Semiconductor Fibres via Mechanical Design
Oct 2, 2023 - WANG Zhixun
Wang, Zhixun; Wang, Zhe; Li, Dong; Yang, Chunlei; Zhang, Qichong; Chen, Ming; Gao, Huajian; Wei, Lei, 2023, "Replication Data for: High-quality Semiconductor Fibres via Mechanical Design", https://doi.org/10.21979/N9/BTLRFM, DR-NTU (Data), V5, UNF:6:fWnw/O5xd6YqGN0CMp2Bxg== [fileUNF]
This dataset includes the source data for the project High-performing Optoelectronic Fabrics Enabled by In-fibre Mechanical Design.
Extended Data Figure 2.tab
Oct 2, 2023 - Replication Data for: High-quality Semiconductor Fibres via Mechanical Design
Tabular Data - 18.5 KB - 17 Variables, 102 Observations - UNF:6:QlSu1ny/d84th8xfH102Xg==
Extended Data Figure 4.tab
Oct 2, 2023 - Replication Data for: High-quality Semiconductor Fibres via Mechanical Design
Tabular Data - 90.0 KB - 12 Variables, 1022 Observations - UNF:6:uleilD1HfL0ubpe9zm6ObQ==
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