Results 71 to 80 of about 146,363 (308)

Model for the hydration of non-polar compounds and polymers

, 2002
We introduce an exactly solvable statistical-mechanical model of the hydration of non-polar compounds, based on grouping water molecules in clusters where hydrogen bonds and isotropic interactions occur; interactions between clusters are neglected ...
A. Ben-Naim, A. Hansen, A.B. Kolomeisky, A.V. Gorelov, B. Lee, C. Wu, E.E. Gurel, E.I. Tiktopulo, G. Graziano, G.I. Makhatadze, G.M. Bell, G.T. Barkema, J. Douglas, J.W. Arthur, J.W. Arthur, K.A. Dill, K.A.T. Silverstein, K.A.T. Silverstein, Lapo Casetti, N. Matubayasi, N. Muller, P. Bruscolini, P. De Los Rios, P. De Los Rios, Pierpaolo Bruscolini, R. Crovetto, S. Fujishige, T. E. Creighton, X. Wang, Y. Tamai, Y. Tamai   +30 more
core   +1 more source

Self‐Immolative Activatable Nanoassembly toward Immuno‐Photodynamic Therapy in TME

Advanced Functional Materials, EarlyView.
A quinone methide‐gated, self‐immolative, H2O2‐responsive nano‐photosensitizer (Pyz/PS) is developed for targeted immuno‐photodynamic therapy. Pyz/PS selectively activates within tumor microenvironments, restores photosensitizer activity, generates ROS, and depletes intracellular GSH, enhancing oxidative stress.
Jing Li, E Pang, Snehasish Debnath, Jia Hong, Aojun Qiu, Dongeun Kim, Goeun Kim, Minhuan Lan, Min‐Goo Lee, Qian‐Yong Cao, Jong Seung Kim   +10 more
wiley   +1 more source

Mechanical response of long-span CFST arch bridges based on the hydration heat temperature effect

Scientific Reports
As the span of concrete-filled steel tube (CFST) arch bridges increases, the hydration heat temperature effect of concrete inside steel tube becomes more severe, which increases the safety risk during the construction process.
Yuexing Wu, Qiang Wen, Meihong Dai, Xinzhong Wang, Xingxin Li, Xianliang Tan   +5 more
doaj   +1 more source

Regulating Hydration Heat in Magnesium Phosphate Cement Using Paraffins: Efficacy and Performance Trade-Offs

Buildings
Magnesium phosphate cement (MPC) holds great potential for rapid repairs, yet its practical application is limited by its intense hydration exotherm. While many existing studies confirm paraffin (PA)’s ability to regulate hydration heat in other cement ...
Zhenxiang Lin, Haoyang Jiang, Hansong Zhang, Jie Liu, Xiaoying Liu, Junyu Fan, Zhide Hu   +6 more
doaj   +1 more source

Effect of elevated temperature on the hydration heat and mechanical properties of blended cements mortars

Journal of Materials and Engineering Structures, 2021
This paper presents an experimental investigation for testing the effect of elevated temperature on the hydration heat and mechanical properties of blended cement mortars. Two tests on mortars were made.
Toufik BOUBEKEUR, Mohamed SALHI, Karim EZZIANE, El-hadj KADRI   +3 more
doaj  

Influence of particle size distribution of slag, limestone and fly ash on early hydration of cement assessed by isothermal calorimetry [PDF]

, 2016
Supplementary cementitious materials (SCMs) enhance early hydration of cement through the provision of nucleation sites for the precipitation of hydration products.
Alderete, Natalia Mariel, De Belie, Nele, Gruyaert, Elke, Villagran Zaccardi, Yury   +3 more
core   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

The use of artificial neural networks in adiabatic curves modeling [PDF]

, 2008
Adiabatic hydration curves are the most suitable data for temperature calculations in concrete hardening structures. However, it is very difficult to predict the adiabatic hydration curve of an arbitrary concrete mixture.
Kavčič, Franci, Trtnik, Gregor, Turk, Goran   +2 more
core   +2 more sources

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source