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[HTML][HTML] A review of coarse grained and mesoscale simulations of C–S–H
The nano-to-micro mesoscale is crucial for cementitious materials; here reactions and
interactions between molecules produce complex mechanisms that determine the behavior …
interactions between molecules produce complex mechanisms that determine the behavior …
Deciphering the atomic genome of glasses by topological constraint theory and molecular dynamics: a review
M Bauchy - Computational Materials Science, 2019 - Elsevier
From telescope lenses to optical fibers and smartphone screens, glasses have been key
enablers in human history. Unlike crystalline materials, glasses can virtually feature any …
enablers in human history. Unlike crystalline materials, glasses can virtually feature any …
Scaling of nanoscale elastic and tensile failure properties of cementitious calcium-silicate-hydrate materials at cryogenic temperatures: A molecular simulation study
This paper investigates the scaling of the nanoscopic elastic and tensile failure properties of
calcium-silicate-hydrate (CSH). We report a Zhurkov-like scaling behavior for disordered …
calcium-silicate-hydrate (CSH). We report a Zhurkov-like scaling behavior for disordered …
Atomistic simulations of geopolymer models: the impact of disorder on structure and mechanics
Geopolymers are hydrated aluminosilicates with excellent binding properties. Geopolymers
appeal to the construction sector as a more sustainable alternative to traditional cements …
appeal to the construction sector as a more sustainable alternative to traditional cements …
Nanoscale origins of creep in calcium silicate hydrates
The time-dependent response of structural materials dominates our aging infrastructure's life
expectancy and has important resilience implications. For calcium-silicate-hydrates, the glue …
expectancy and has important resilience implications. For calcium-silicate-hydrates, the glue …
Predicting the dissolution kinetics of silicate glasses by topology-informed machine learning
Abstract Machine learning (ML) regression methods are promising tools to develop models
predicting the properties of materials by learning from existing databases. However …
predicting the properties of materials by learning from existing databases. However …
Predicting the early-stage creep dynamics of gels from their static structure by machine learning
Upon sustained loading, colloidal gels tend to feature delayed viscoplastic creep
deformations. However, the relationship, if any, between the structure and creep dynamics of …
deformations. However, the relationship, if any, between the structure and creep dynamics of …
alkali-activated blast furnace slag for eco-friendly binders
X Sun, Y Zhao, J Qiu, J **ng - Journal of Materials Science, 2022 - Springer
From infrastructure to national defense construction, concrete has been a key enabler in
human history. While as the main binding material, ordinary Portland cement production …
human history. While as the main binding material, ordinary Portland cement production …
Modifier field strength effects on densification behavior and mechanical properties of alkali aluminoborate glasses
The constituents of oxide glasses are typically classified as network formers, which form the
rigid backbone of glasses, and network modifiers, which tend to either charge stabilize …
rigid backbone of glasses, and network modifiers, which tend to either charge stabilize …
Calcium silicate hydrate colloid at different humidities: Microstructure, deformation mechanism, and mechanical properties
Calcium silicate hydrate (CSH) is the main hydration product of Portland cement, while
fundamental questions persist regarding its colloidal structure and water content. In this …
fundamental questions persist regarding its colloidal structure and water content. In this …