Results 91 to 100 of about 6,182,869 (354)

Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)

Advanced Functional Materials, EarlyView.
Luminescent MOF‐76 materials based on Eu(III) and mixed Eu(III)/Y(III) show rapid and reversible changes in emission intensity in response to O2 with very short response times. The effect is based on triplet quenching of the linker ligands that act as photosensitizers. Average emission lifetimes of a few milliseconds turn out to be mostly unaffected by
Zhenyu Zhao, Christian Weinberger, Jakob Steube, Matthias Bauer, Martin Brehm, Michael Tiemann   +5 more
wiley   +1 more source

The reaction of slag in cement: theory and computer modelling [PDF]

, 2006
In this study, theoretical models available for the reaction of both pure slag\ud (alkali-activated) and slag-blended cement are reviewed.
Brouwers, H.J.H., Chen, W.
core   +1 more source

Oscillatory thermal instability and the Bhopal disaster [PDF]

, 2010
A stability analysis is presented of the hydrolysis of methyl isocyanate (MIC) using a homogeneous flow reactor paradigm. The results simulate the thermal runaway that occurred inside the storage tank of MIC at the Bhopal Union Carbide plant in December ...
Ball, R.
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

Hydration and nanomechanical changes in collagen fibrils bearing advanced glycation end-products.

Biomedical Optics Express, 2019
Accumulation of advanced glycation end-products (AGEs) in biological tissues occurs as a consequence of normal ageing and pathology. Most biological tissues are composed of considerable amounts of collagen, with collagen fibrils being the most abundant ...
O. Andriotis, K. Elsayad, D. Smart, M. Nalbach, D. Davies, P. Thurner   +5 more
semanticscholar   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Photocatalytic Activity and Mechanical Properties of Cements Modified with TiO2/N [PDF]

, 2019
In this paper, studies of the mechanical properties and photocatalytic activity of new photoactive cement mortars are presented. The new building materials were obtained by the addition of 1, 3, and 5 wt % (based on the cement content) of nitrogen ...
Janus, Magdalena, Kusiak-Nejman, Ewelina, Morawski, Antoni W., Mądraszewski, Szymon, Stephan, Dietmar, Zając, Kamila   +5 more
core   +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 influence of the synergistic effect of recycled micro-powder and different types of mineral admixtures on the hydration and microstructure of cement-based materials

Case Studies in Construction Materials
This study investigates the influence of different proportions of recycled micro-powder (RP) mixed with fly ash and slag on the hydration process and mechanical properties of cement, establishing a correlation between hydration performance and strength ...
Yonggan Yang, Junrong Wang, Wenqin Zhang, Peng Gao, Qijun Yu, Yunsheng Zhang, Qi Mu, Wenhao Zhang, Sihan Li, Mohan Chen, Weiping Zhao   +10 more
doaj   +1 more source

A Stochastic Multi-scale Approach for Numerical Modeling of Complex Materials - Application to Uniaxial Cyclic Response of Concrete

, 2016
In complex materials, numerous intertwined phenomena underlie the overall response at macroscale. These phenomena can pertain to different engineering fields (mechanical , chemical, electrical), occur at different scales, can appear as uncertain, and are
Adnan Ibrahimbegovic, Adnan Ibrahimbegović, Ana Paula Moreno Trigo, André Zaoui, C. Miehe, D.C. Charmpis, Damijan Markovic, Dimitris Savvas, F. Ragueneau, Frédéric Feyel, George Deodatis, George Deodatis, J. Lubliner, M Gioffrè, M.D. Shields, Martin Ostoja-Starzewski, Masanobu Shinozuka, P. Germain, P. Ladevèze, Paolo Bocchini, Pierre Jehel, Pierre Jehel, R. Cottereau, R. Popescu, Sia Nemat-Nasser, Vissarion Papadopoulos   +25 more
core   +3 more sources