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Institution

Paul Scherrer Institute

FacilityVilligen, Switzerland
About: Paul Scherrer Institute is a facility organization based out in Villigen, Switzerland. It is known for research contribution in the topics: Neutron & Large Hadron Collider. The organization has 9248 authors who have published 23984 publications receiving 890129 citations. The organization is also known as: PSI.


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Journal ArticleDOI
TL;DR: The tunable porosity, the ability to fine tune the structure of the active site and its environment, the presence of multiple active sites, and the opportunity to synthesize structures in which key-lock bonding of substrates occurs are identified as the characteristics that distinguish MOFs from other materials.
Abstract: Crystalline porous materials are extremely important for developing catalytic systems with high scientific and industrial impact. Metal–organic frameworks (MOFs) show unique potential that still has to be fully exploited. This perspective summarizes the properties of MOFs with the aim to understand what are possible approaches to catalysis with these materials. We categorize three classes of MOF catalysts: (1) those with active site on the framework, (2) those with encapsulated active species, and (3) those with active sites attached through post-synthetic modification. We identify the tunable porosity, the ability to fine tune the structure of the active site and its environment, the presence of multiple active sites, and the opportunity to synthesize structures in which key–lock bonding of substrates occurs as the characteristics that distinguish MOFs from other materials. We experience a unique opportunity to imagine and design heterogeneous catalysts, which might catalyze reactions previously thought impossible.

356 citations

Journal ArticleDOI
TL;DR: In this paper, a seeded free-electron laser with a two-stage harmonic upshift configuration provided tunable and coherent soft-X-ray pulses with energies of tens of microjoules and a low pulse-to-pulse wavelength jitter at wavelengths of 10.8 nm and below.
Abstract: A seeded free-electron laser with a two-stage harmonic upshift configuration provided tunable and coherent soft-X-ray pulses. The configuration produced single-transverse-mode, narrow-spectral-bandwidth femtosecond pulses with energies of several tens of microjoules and a low pulse-to-pulse wavelength jitter at wavelengths of 10.8 nm and below.

356 citations

Journal ArticleDOI
08 Aug 2002-Nature
TL;DR: In this article, the authors used resonant photoemission spectroscopy to monitor electron transfer in simple systems with an order-of-magnitude improvement in time resolution and showed that electron transfer from an aromatic adsorbate to a TiO2 semiconductor surface can occur in less than 3
Abstract: The ultrafast timescale of electron transfer processes is crucial to their role in many biological systems and technological devices. In dye-sensitized solar cells1,2,3,4, the electron transfer from photo-excited dye molecules to nanostructured semiconductor substrates needs to be sufficiently fast to compete effectively against loss processes and thus achieve high solar energy conversion efficiencies4. Time-resolved laser techniques indicate an upper limit of 20 to 100 femtoseconds5,6,7,8,9 for the time needed to inject an electron from a dye into a semiconductor, which corresponds to the timescale on which competing processes such as charge redistribution10,11 and intramolecular thermalization of excited states12,13,14 occur. Here we use resonant photoemission spectroscopy, which has previously been used to monitor electron transfer in simple systems with an order-of-magnitude improvement in time resolution15,16, to show that electron transfer from an aromatic adsorbate to a TiO2 semiconductor surface can occur in less than 3 fs. These results directly confirm that electronic coupling of the aromatic molecule to its substrate is sufficiently strong to suppress competing processes17.

356 citations

Journal ArticleDOI
Kostas Tsigaridis1, Kostas Tsigaridis2, Nikos Daskalakis3, Nikos Daskalakis4, Maria Kanakidou3, Peter Adams5, Paulo Artaxo6, Ranjit Bahadur7, Yves Balkanski, Susanne E. Bauer2, Susanne E. Bauer1, Nicolas Bellouin8, Nicolas Bellouin9, Angela Benedetti10, Tommi Bergman11, Terje Koren Berntsen12, Johan P. Beukes13, Huisheng Bian14, Kenneth S. Carslaw15, Mian Chin16, Gabriele Curci17, Thomas Diehl16, Thomas Diehl18, Richard C. Easter19, Steven J. Ghan19, Sunling Gong20, Alma Hodzic21, Christopher R. Hoyle22, Christopher R. Hoyle23, Trond Iversen10, Trond Iversen24, Trond Iversen12, Shantanu H. Jathar5, Jose L. Jimenez25, Johannes W. Kaiser26, Alf Kirkevåg24, Dorothy Koch2, Dorothy Koch1, Harri Kokkola11, Y. H. Lee2, Y. H. Lee5, Guangxing Lin27, Xiaohong Liu19, Xiaohong Liu28, Gan Luo29, Xiaoyan Ma30, Xiaoyan Ma29, Graham Mann15, Nikos Mihalopoulos3, J.-J. Morcrette10, Jean-François Müller31, Gunnar Myhre12, Stelios Myriokefalitakis4, Stelios Myriokefalitakis3, Nga L. Ng32, D. O'Donnell26, D. O'Donnell11, Joyce E. Penner27, Luca Pozzoli33, Kirsty J. Pringle15, Kirsty J. Pringle26, Lynn M. Russell, Michael Schulz24, Jean Sciare, Øyvind Seland24, Drew Shindell1, Drew Shindell2, Drew Shindell34, Sanford Sillman27, Ragnhild Bieltvedt Skeie12, Dominick V. Spracklen15, Trissevgeni Stavrakou31, Stephen D. Steenrod18, Toshihiko Takemura35, Petri Tiitta13, Petri Tiitta36, Simone Tilmes21, Holger Tost37, T. P. C. van Noije38, P. G. van Zyl13, K. von Salzen30, Fangqun Yu29, Zhili Wang39, Rahul A. Zaveri19, Hualong Zhang39, Kai Zhang19, Kai Zhang26, Qi Zhang40, X. Zhang 
TL;DR: In this article, the current status of global modeling of the organic aerosol (OA) in the troposphere and analyzes the differences between models as well as between models and observations.
Abstract: . This paper evaluates the current status of global modeling of the organic aerosol (OA) in the troposphere and analyzes the differences between models as well as between models and observations. Thirty-one global chemistry transport models (CTMs) and general circulation models (GCMs) have participated in this intercomparison, in the framework of AeroCom phase II. The simulation of OA varies greatly between models in terms of the magnitude of primary emissions, secondary OA (SOA) formation, the number of OA species used (2 to 62), the complexity of OA parameterizations (gas-particle partitioning, chemical aging, multiphase chemistry, aerosol microphysics), and the OA physical, chemical and optical properties. The diversity of the global OA simulation results has increased since earlier AeroCom experiments, mainly due to the increasing complexity of the SOA parameterization in models, and the implementation of new, highly uncertain, OA sources. Diversity of over one order of magnitude exists in the modeled vertical distribution of OA concentrations that deserves a dedicated future study. Furthermore, although the OA / OC ratio depends on OA sources and atmospheric processing, and is important for model evaluation against OA and OC observations, it is resolved only by a few global models. The median global primary OA (POA) source strength is 56 Tg a−1 (range 34–144 Tg a−1) and the median SOA source strength (natural and anthropogenic) is 19 Tg a−1 (range 13–121 Tg a−1). Among the models that take into account the semi-volatile SOA nature, the median source is calculated to be 51 Tg a−1 (range 16–121 Tg a−1), much larger than the median value of the models that calculate SOA in a more simplistic way (19 Tg a−1; range 13–20 Tg a−1, with one model at 37 Tg a−1). The median atmospheric burden of OA is 1.4 Tg (24 models in the range of 0.6–2.0 Tg and 4 between 2.0 and 3.8 Tg), with a median OA lifetime of 5.4 days (range 3.8–9.6 days). In models that reported both OA and sulfate burdens, the median value of the OA/sulfate burden ratio is calculated to be 0.77; 13 models calculate a ratio lower than 1, and 9 models higher than 1. For 26 models that reported OA deposition fluxes, the median wet removal is 70 Tg a−1 (range 28–209 Tg a−1), which is on average 85% of the total OA deposition. Fine aerosol organic carbon (OC) and OA observations from continuous monitoring networks and individual field campaigns have been used for model evaluation. At urban locations, the model–observation comparison indicates missing knowledge on anthropogenic OA sources, both strength and seasonality. The combined model–measurements analysis suggests the existence of increased OA levels during summer due to biogenic SOA formation over large areas of the USA that can be of the same order of magnitude as the POA, even at urban locations, and contribute to the measured urban seasonal pattern. Global models are able to simulate the high secondary character of OA observed in the atmosphere as a result of SOA formation and POA aging, although the amount of OA present in the atmosphere remains largely underestimated, with a mean normalized bias (MNB) equal to −0.62 (−0.51) based on the comparison against OC (OA) urban data of all models at the surface, −0.15 (+0.51) when compared with remote measurements, and −0.30 for marine locations with OC data. The mean temporal correlations across all stations are low when compared with OC (OA) measurements: 0.47 (0.52) for urban stations, 0.39 (0.37) for remote stations, and 0.25 for marine stations with OC data. The combination of high (negative) MNB and higher correlation at urban stations when compared with the low MNB and lower correlation at remote sites suggests that knowledge about the processes that govern aerosol processing, transport and removal, on top of their sources, is important at the remote stations. There is no clear change in model skill with increasing model complexity with regard to OC or OA mass concentration. However, the complexity is needed in models in order to distinguish between anthropogenic and natural OA as needed for climate mitigation, and to calculate the impact of OA on climate accurately.

355 citations

Journal ArticleDOI
TL;DR: In this article, the viscous flow of thin PMMA films into microcavities during hot embossing has been investigated in order to optimise the molding process for nanostructured surfaces.

354 citations


Authors

Showing all 9348 results

NameH-indexPapersCitations
Andrea Bocci1722402176461
Tobin J. Marks1591621111604
Wolfgang Wagner1562342123391
David D'Enterria1501592116210
Andreas Pfeiffer1491756131080
Christoph Grab1441359144174
Maurizio Pierini1431782104406
Alexander Belyaev1421895100796
Ajit Kumar Mohanty141112493062
Felicitas Pauss1411623104493
Chiara Mariotti141142698157
Luc Pape1411441130253
Rainer Wallny1411661105387
Roland Horisberger1391471100458
Emmanuelle Perez138155099016
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202363
2022199
20211,299
20201,442
20191,330
20181,298