Singapore Centre for 3D Printing (SC3DP) aspires to be a national centre of excellence, to consolidate cutting edge technology and research in the area of 3D printing. With close to $150m funding secured from NRF, EDB, AStar and MOE NTU and external partners, SC3DP provides a platform that spearheads Singapore’s efforts in 3D Printing. The centre aims to build on Nanyang Technology University’s (NTU) existing strengths and competencies in 3D printing for manufacturing and precision engineering. Currently, NTU’s capabilities in 3D printing are housed in 3 main setups:

1) NTU Additive Manufacturing Centre (NAMC): College-level research centre

2) Singapore Institute of Manufacturing Technology (SIMTech- NTU) Joint Lab in 3D Additive Manufacturing: Joint collaboration with an Agency for Science, Technology and Research (A*STAR) Institute

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 9 of 9 Results
Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
May 14, 2026 - Jia Min LEE
Lee, Jia Min, 2026, "Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics", https://doi.org/10.21979/N9/WC4D7J, DR-NTU (Data), V1, UNF:6:S0x4Y5WE079p7+0mwh5wgg== [fileUNF]
Dataset for physico surrogate model and
formulation_dataset.tab
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Tabular Data - 3.3 KB - 9 Variables, 33 Observations - UNF:6:pwvtzs/i9lhD4qajU1kmcA==
physicoML_converted.txt
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Plain Text - 17.0 KB - MD5: 4b1ead23e3be1abffd81cd4b00f4df26
jupyternotebook file converted to text.
physicoML.ipynb
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Jupyter Notebook - 158.2 KB - MD5: 019a813ce7c6e1b81e4f1ad7c023e27b
polymer_information_ML.tab
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Tabular Data - 505 B - 15 Variables, 14 Observations - UNF:6:+dsAPDvo5F2KdD4yDde03A==
Jia Min LEE(Nanyang Technological University)
Apr 1, 2026
Research topics: 3D Printing, Bioprinting, Tissue Engineering, New Approach Methods
NG Wei Long (Nanyang Technological University)
Jan 29, 2026
Replication Data for: Cell Alignment Angle Orientation Analysis
Jun 22, 2020 - Jia Min LEE
Lee, Jia Min, 2020, "Replication Data for: Cell Alignment Angle Orientation Analysis", https://doi.org/10.21979/N9/07DYVQ, DR-NTU (Data), V1, UNF:6:v5rRvAslnQ2d4ImHfnOjZw== [fileUNF]
Dataset contains the image analysis values for evaluating degree of cell alignment on 3D bioprinted scaffolds
FFT analysis.tab
Jun 22, 2020 - Replication Data for: Cell Alignment Angle Orientation Analysis
Tabular Data - 43.1 KB - 2 Variables, 2042 Observations - UNF:6:v5rRvAslnQ2d4ImHfnOjZw==
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.