Enabling data-driven design of block copolymer self-assembly - Database
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This is the dataset of "Enabling data-driven design of block copolymer self-assembly" by Chiara Magosso, Irdi Murataj, Michele Perego, Gabriele Seguini, Debra J. Audus, Gianluca Milano, and Federico Ferrarese Lupi.
Part of this was funded by the project MEMQuD, code 20FUN06. The project has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program.
Part of this work was supported by the European project OpMetBat, code 21GRD01. The project has received funding from the European Partnership on Metrology, cofinanced from the the European Union's Horizon Europe Research and Innovation Programme, and by Participating States.
Part of this work was supported by the European Union - Next Generation EU under the National Recovery and Resilience Plan (NRRP), Mission 04 Component 2 Investment 3.1 | Project Code: IR0000027 - CUP: B33C22000710006 - iENTRANCE@ENL: Infrastructure for Energy TRAnsition aNd Circular Economy @EuroNanoLab.
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CNR.zip
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Related works
- Is published in
- Journal article: 10.1038/s41597-025-05379-w (DOI)
- Is supplement to
- Software: 10.5281/zenodo.15430176 (DOI)
- Software: https://github.com/ChiaraMagosso/BlockMetrology/tree/v1.0.0 (URL)
Dates
- Submitted
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2024-10-14