A Model Ensemble Approach Enables Data-Driven Property Prediction for Chemically Deconstructable Thermosets in the Low-Data Regime

[Image: see text] Thermosets present sustainability challenges that could potentially be addressed through the design of deconstructable variants with tunable properties; however, the combinatorial space of possible thermoset molecular building blocks (e.g., monomers, cross-linkers, and additives) a...

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Detalles Bibliográficos
Autores principales: AlFaraj, Yasmeen S., Mohapatra, Somesh, Shieh, Peyton, Husted, Keith E. L., Ivanoff, Douglass G., Lloyd, Evan M., Cooper, Julian C., Dai, Yutong, Singhal, Avni P., Moore, Jeffrey S., Sottos, Nancy R., Gomez-Bombarelli, Rafael, Johnson, Jeremiah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540282/
https://www.ncbi.nlm.nih.gov/pubmed/37780353
http://dx.doi.org/10.1021/acscentsci.3c00502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540282/
https://www.ncbi.nlm.nih.gov/pubmed/37780353
http://dx.doi.org/10.1021/acscentsci.3c00502

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