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Institution

Eindhoven University of Technology

EducationEindhoven, Noord-Brabant, Netherlands
About: Eindhoven University of Technology is a education organization based out in Eindhoven, Noord-Brabant, Netherlands. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 22309 authors who have published 52936 publications receiving 1584164 citations. The organization is also known as: Technische Hogeschool Eindhoven & TU/e.


Papers
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Journal ArticleDOI
TL;DR: In this article, the sulfidation of crystalline MoO3 and the thermal decomposition of (NH4)2MoO2S2 to MoS2 via an {MoOS2} oxysulfide intermediate have been studied by means of monochromatic X-ray photoelectron spectroscopy (XPS) and IRES.
Abstract: The sulfidation of crystalline MoO3 and the thermal decomposition of (NH4)2MoO2S2 to MoS2 via an {MoOS2} oxysulfide intermediate have been studied by means of monochromatic X-ray photoelectron spectroscopy (XPS) and infrared emission spectroscopy (IRES) Several basic steps of the sulfidation reaction could be resolved and explained in terms of the structure of crystalline MoO3 The sulfidation reaction starts at low temperatures with an exchange of terminal O2- ligands of the oxide for S2- by reaction with H2S from the sulfiding atmosphere In subsequent Mo−S redox reactions, bridging S22- ligands and Mo5+ centers are formed Lattice relaxation and further sulfur uptake are the main processes before, at temperatures above 200 °C, direct reactions with H2 occur, during which the Mo5+ centers are converted into the 4+ oxidation state The decomposition experiments with (NH4)2MoO2S2 show that terminal O2- ligands serve as the reactive sites The conversion of terminal MoOt to MoS entities and the subsequent

418 citations

Journal ArticleDOI
TL;DR: It was found that for a rapid and unambiguous determination of the self-assembly mechanism and its thermodynamic parameters, temperature-dependent measurements are more appropriate.
Abstract: To study the supramolecular polymerisation mechanisms of a self-assembling system, concentration- and temperature-dependent measurements can both be used to probe the transition from the molecular dissolved state to the aggregated state. In this report, both methods are evaluated to determine their effectiveness in identifying and quantifying the self-assembly mechanism for isodesmic and cooperative self-assembling systems. It was found that for a rapid and unambiguous determination of the self-assembly mechanism and its thermodynamic parameters, temperature-dependent measurements are more appropriate. These studies allow the acquisition of a large data set leading to an accurate determination of the self-assembly mechanism and quantification of the different thermodynamic parameters that describe the supramolecular polymerisation. For a comprehensive characterisation, additional concentration-dependent measurements can be performed.

418 citations

Journal ArticleDOI
TL;DR: A new, hierarchical research approach is proposed to obtain improved insights into the basic pathways whereby mechanical loading leads to soft tissue breakdown and provide new fundamental knowledge about the etiology of pressure ulcers that can serve as a sound basis for effective clinical identification and prevention.

417 citations

Journal ArticleDOI
TL;DR: In this article, a case study is performed based on an office building with respect to various building performance parameters and implications for the results considering energy consumption and thermal comfort are demonstrated and elaborated.

417 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate two newly developed stochastic models for time series prediction of energy consumption, namely, CRBM and Factored Conditional Restricted Boltzmann Machine (FCRBM).

417 citations


Authors

Showing all 22539 results

NameH-indexPapersCitations
Hans Clevers199793169673
Richard H. Friend1691182140032
J. Fraser Stoddart147123996083
Jean-Luc Brédas134102685803
Ulrich S. Schubert122222985604
Christoph J. Brabec12089668188
Daniel I. Sessler11997360318
Can Li116104960617
Vikram Deshpande11173244038
D. Grahame Hardie10927653856
Wil M. P. van der Aalst10872542429
Jacob A. Moulijn10875447505
Vincent M. Rotello10876652473
Silvia Bordiga10749841413
David N. Reinhoudt107108248814
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202397
2022345
20212,907
20203,096
20192,584