2013
DOI: 10.1111/jace.12677
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An Application of Computer‐Aided Molecular Design (CAMD) Using the Signature Molecular Descriptor–Part 2. Evaluating Newly Identified Surface Tension‐Reducing Substances for Potential Use as Shrinkage‐Reducing Admixtures

Abstract: In this study, the use of computer-aided molecular design (CAMD) is validated as a tool for enabling the discovery of new shrinkage-reducing compounds for possible use in portland cement composites and is framed as one of many multiscale modeling tools in a broad hierarchy of possibilities. Twelve additives were tested for their ability to inhibit shrinkage in Type I ordinary portland cement under both autogenous and drying conditions. The 12 additives included two commercial shrinkage-reducing admixtures (SRA… Show more

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Cited by 6 publications
(4 citation statements)
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“…In an effort to streamline and accelerate the discovery of admixture molecules, Kayello et al . and Shlonimskaya et al . introduced an inverse design strategy based on the use of a coarse‐grain molecular‐scale quantitative structure activity relationship (QSAR).…”
Section: Reviewsmentioning
confidence: 99%
See 1 more Smart Citation
“…In an effort to streamline and accelerate the discovery of admixture molecules, Kayello et al . and Shlonimskaya et al . introduced an inverse design strategy based on the use of a coarse‐grain molecular‐scale quantitative structure activity relationship (QSAR).…”
Section: Reviewsmentioning
confidence: 99%
“…Some applications of ML to cementitious materials and related chemical admixtures have been made already, and they provide a glimpse of the latent power and flexibility of such methods for designing cementitious composites when sufficient training data are available. Phase segmentation of cement powder microstructures is now routinely accomplished by unsupervised ML, using clustering algorithms trained on subsets of 2D backscattered electron micrographs and X‐ray microanalysis data of polished cement powder cross sections .…”
Section: Reviewsmentioning
confidence: 99%
“…Therefore, the CAMD problem can be resolved without reconstructing the 3D structure as in the GC approach. QSPR based CAMD has been applied for chemicals with desired surface tension, , toxicity, octanol–water partition coefficient, and drug design . It is useful to note that the focus of research for CAMD based on QSPR was often on the development of search algorithms. , …”
Section: Introductionmentioning
confidence: 99%
“…The active agents in SRAs are shrinkage reducing agents (SRas) that are amphiphilic organic compounds . By reducing the surface tension of the pore water, the SRa effectively decreases the magnitude of the capillary stresses and shrinkage strains that arise as pores become partially dehydrated due to either evaporative drying or autogenous effects …”
Section: Introductionmentioning
confidence: 99%