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Institution

Delft University of Technology

EducationDelft, Zuid-Holland, Netherlands
About: Delft University of Technology is a education organization based out in Delft, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 37681 authors who have published 94404 publications receiving 2741710 citations. The organization is also known as: TU-Delft & Technische Hogeschool Delft.


Papers
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Journal ArticleDOI
TL;DR: A new generation of optical nanoprobes, based on chromium-doped zinc gallate, whose persistent luminescence can be activated in vivo through living tissues using highly penetrating low-energy red photons are introduced, opening new perspectives for cell therapy research and for a variety of diagnosis applications.
Abstract: Optical imaging for biological applications requires more sensitive tools. Near-infrared persistent luminescence nanoparticles enable highly sensitive in vivo optical detection and complete avoidance of tissue autofluorescence. However, the actual generation of persistent luminescence nanoparticles necessitates ex vivo activation before systemic administration, which prevents long-term imaging in living animals. Here, we introduce a new generation of optical nanoprobes, based on chromium-doped zinc gallate, whose persistent luminescence can be activated in vivo through living tissues using highly penetrating low-energy red photons. Surface functionalization of this photonic probe can be adjusted to favour multiple biomedical applications such as tumour targeting. Notably, we show that cells can endocytose these nanoparticles in vitro and that, after intravenous injection, we can track labelled cells in vivo and follow their biodistribution by a simple whole animal optical detection, opening new perspectives for cell therapy research and for a variety of diagnosis applications.

756 citations

Journal ArticleDOI
TL;DR: In this paper, the application of rare-earth-doped inorganic materials for achieving external quantum efficiencies greater than unity and enhancing the conversion efficiency of silicon solar cells was examined, and the opportunities for the DC of high-energy solar photons to multiple photons with energy greater than the silicon bandgap were discussed.

755 citations

Journal ArticleDOI
TL;DR: The state-of-the-art in photodetectors based on semiconducting 2D materials are reviewed, focusing on the transition metal dichalcogenides, novel van der Waals materials, black phosphorus, and heterostructures.
Abstract: Two-dimensional (2D) materials have attracted a great deal of interest in recent years. This family of materials allows for the realization of versatile electronic devices and holds promise for next-generation (opto)electronics. Their electronic properties strongly depend on the number of layers, making them interesting from a fundamental standpoint. For electronic applications, semiconducting 2D materials benefit from sizable mobilities and large on/off ratios, due to the large modulation achievable via the gate field-effect. Moreover, being mechanically strong and flexible, these materials can withstand large strain (>10%) before rupture, making them interesting for strain engineering and flexible devices. Even in their single layer form, semiconducting 2D materials have demonstrated efficient light absorption, enabling large responsivity in photodetectors. Therefore, semiconducting layered 2D materials are strong candidates for optoelectronic applications, especially for photodetection. Here, we review the state-of-the-art in photodetectors based on semiconducting 2D materials, focusing on the transition metal dichalcogenides, novel van der Waals materials, black phosphorus, and heterostructures.

746 citations

Journal ArticleDOI
TL;DR: The onion method is explained in terms of elliptical distributions and extended to allow generating random correlation matrices from the same joint distribution as the vine method to study the relationship between the multiple correlation and partial correlations on a regular vine.

742 citations

Journal ArticleDOI
TL;DR: In this paper, a method for the elimination of all surface-related multiples by means of a process that removes the influence of the surface reflectivity from the data is proposed.
Abstract: The major amount of multiple energy in seismic data is related to the large reflectivity of the surface. A method is proposed for the elimination of all surface-related multiples by means of a process that removes the influence of the surface reflectivity from the data. An important property of the proposed multiple elimination process is that no knowledge of the subsurface is required. On the other hand, the source signature and the surface reflectivity do need to be provided. As a consequence, the proposed process has been implemented adaptively, meaning that multiple elimination is designed as an inversion process where the source and surface reflectivity properties are estimated and where the multiple-free data equals the inversion residue. Results on simulated data and field data show that the proposed multiple elimination process should be considered as one of the key inversion steps in stepwise seismic inversion.

740 citations


Authors

Showing all 38152 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Charles M. Lieber165521132811
Ad Bax13848697112
George C. Schatz137115594910
Georgios B. Giannakis137132173517
Jaap S. Sinninghe Damsté13472661947
Avelino Corma134104989095
Mark A. Ratner12796868132
Jing Kong12655372354
Robert J. Cava125104271819
Reza Malekzadeh118900139272
Jinde Cao117143057881
Mike S. M. Jetten11748852356
Liquan Chen11168944229
Oscar H. Franco11182266649
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023393
2022784
20215,396
20205,525
20195,230