Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Newell R. Washburn"'
Publikováno v:
Cement, Vol 12, Iss , Pp 100063- (2023)
Achieving the correct sulfate balance in limestone calcined clay cements (LC3) to control aluminate hydration is critical for early hydration and property development, but the role of the calcined kaolin (metakaolin) fraction relative to other compos
Externí odkaz:
https://doaj.org/article/c1da8713e9164acaa6e325af6eb00577
Publikováno v:
Frontiers in Materials, Vol 6 (2019)
Polyurethanes are a broad class of material that finds application in coatings, foams, and solid elastomers. The urethane chemistry allows a diversity of monomers to be used, and prediction of mechanical properties, which are determined by complex in
Externí odkaz:
https://doaj.org/article/04afca4026264aad99c4726b5ce974e9
Publikováno v:
BioTechniques, Vol 40, Iss 4, Pp 442-448 (2006)
Externí odkaz:
https://doaj.org/article/2d1a0533ff20419d8c77968825c6d8c1
Autor:
Luna E. Al-Hasani, Greisi Perez, Hana N. Herndon, Jisoo Park, Jonathan L. Poole, Iris Tien, Newell R. Washburn, Yong K. Cho, T. Russell Gentry, Kimberly E. Kurtis
Publikováno v:
Materials and Structures. 56
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62faea330c5a2440f346310be7ccf893
https://doi.org/10.1617/s11527-023-02134-8
https://doi.org/10.1617/s11527-023-02134-8
Publikováno v:
ACS applied materialsinterfaces. 14(14)
Predicting the properties of complex polymeric materials based on monomer chemistry requires modeling physical interactions that bridge molecular, interchain, microstructure, and bulk length scales. For polyurethanes, a polymer class with global comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4176afc842f13a0eeb4ffbf8a50e94f7
https://pubmed.ncbi.nlm.nih.gov/35353501
https://pubmed.ncbi.nlm.nih.gov/35353501
Publikováno v:
Cement and Concrete Research. 160:106920
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18baaf8cfb08167ea9b6278d54d474ef
https://doi.org/10.1016/j.cemconres.2022.106920
https://doi.org/10.1016/j.cemconres.2022.106920
Publikováno v:
Industrial & Engineering Chemistry Research. 58:19760-19766
PEGylation of lignin derivatives has been shown to enhance emulsifying and dispersant activities. Here, the effects of anionic grafts were explored for dispersant activity within Portland cement. K...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a451bf6e21c6baed48298db0b5463bde
https://doi.org/10.1021/acs.iecr.9b03973
https://doi.org/10.1021/acs.iecr.9b03973
Publikováno v:
MRS Communications. 9:806-820
Machine learning (ML) has revolutionized disciplines within materials science that have been able to generate sufficiently large datasets to utilize algorithms based on statistical inference, but for many important classes of materials the datasets r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a8af8e3a0147e1f41322e4397ac0c8
https://doi.org/10.1557/mrc.2019.90
https://doi.org/10.1557/mrc.2019.90
Publikováno v:
Cement and Concrete Composites. 101:32-43
While the field of 3D-printing (3DP; formally known as additive manufacturing) has increasingly matured, its use in large-scale applications, e.g., building and infrastructure construction, remains limited. Although layer-wise slurry deposition/extru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ece3b71b4bc1f27fe96bba8ca775573a
https://doi.org/10.1016/j.cemconcomp.2018.03.022
https://doi.org/10.1016/j.cemconcomp.2018.03.022
Autor:
Philip R. LeDuc, Aditya Menon, Christopher M. Childs, Adam W. Feinberg, Jennifer Bone, Newell R. Washburn, Barnabás Póczos
Publikováno v:
ACS biomaterials scienceengineering. 6(12)
A hierarchical machine learning (HML) framework is presented that uses a small dataset to learn and predict the dominant build parameters necessary to print high-fidelity 3D features of alginate hydrogels. We examine the 3D printing of soft hydrogel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38918574a2a5d6c0b310c5d933a9bf63
https://pubmed.ncbi.nlm.nih.gov/33320614
https://pubmed.ncbi.nlm.nih.gov/33320614