Institution
University of Grenoble
Education•Saint-Martin-d'Hères, France•
About: University of Grenoble is a education organization based out in Saint-Martin-d'Hères, France. It is known for research contribution in the topics: Population & Context (language use). The organization has 25658 authors who have published 45143 publications receiving 909760 citations.
Papers published on a yearly basis
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TL;DR: This experimental study demonstrates that 1 ton of fly-ash could sequester up to 26 kg of CO(2), i.e. 38.18 ton ofFly-ash per ton ofCO(2) sequestered, and confirms the possibility to use this alkaline residue for CO( 2) mitigation.
320 citations
University of Glasgow1, Technische Universität München2, University of Gothenburg3, Royal Institute of Technology4, Kaiserslautern University of Technology5, University of Tokyo6, Global Alliance in Management Education7, Tohoku University8, Delft University of Technology9, Seagate Technology10, Centre national de la recherche scientifique11, Carnegie Mellon University12, University of Mainz13, University of Grenoble14
TL;DR: This 2014 Magnetism Roadmap provides a view on several selected, currently very active innovative developments, each written by an expert in the field and addressing a specific subject, with strong emphasize on future potential.
Abstract: Magnetism is a very fascinating and dynamic field Especially in the last 30 years it has experienced many major advances in the full range from novel fundamental phenomena to new products Applications such as hard disk drives and magnetic sensors are part of our daily life, and new applications, such as in non-volatile computer random access memory, are expected to surface shortly Thus it is timely for describing the current status, and current and future challenges in the form of a Roadmap article This 2014 Magnetism Roadmap provides a view on several selected, currently very active innovative developments It consists of 12 sections, each written by an expert in the field and addressing a specific subject, with strong emphasize on future potential This Roadmap cannot cover the entire field We have selected several highly relevant areas without attempting to provide a full review - a future update will have room for more topics The scope covers mostly nano-magnetic phenomena and applications, where surfaces and interfaces provide additional functionality New developments in fundamental topics such as interacting nano-elements, novel magnon-based spintronics concepts, spin-orbit torques and spin-caloric phenomena are addressed New materials, such as organic magnetic materials and permanent magnets are covered New applications are presented such as nano-magnetic logic, non-local and domain-wall based devices, heat-assisted magnetic recording, magnetic random access memory, and applications in biotechnology May the Roadmap serve as a guideline for future emerging research directions in modern magnetism
320 citations
Academia Sinica1, Imperial College London2, CERN3, École normale supérieure de Lyon4, University of Lyon5, Tel Aviv University6, University of Southampton7, SLAC National Accelerator Laboratory8, Durham University9, University of Melbourne10, Rutgers University11, International School for Advanced Studies12, Université libre de Bruxelles13, Chinese Academy of Sciences14, University of California, Davis15, Vrije Universiteit Brussel16, University of Freiburg17, University of Geneva18, University of Bonn19, King's College London20, University of Maryland, College Park21, University of Oxford22, Argonne National Laboratory23, Fermilab24, University of Grenoble25, University of California, Santa Barbara26, University of Malaya27, University of Oregon28, Harvard University29, Royal Holloway, University of London30, University College London31, Ohio State University32, Texas Tech University33, Brown University34, University of Amsterdam35, University of Chicago36, Rutherford Appleton Laboratory37, University of California, Irvine38, KEK39, University of Glasgow40, Lawrence Berkeley National Laboratory41, University of California, Berkeley42, University of Zurich43, University of Toronto44, University of Oklahoma45, Max Planck Society46, Weizmann Institute of Science47, New York University48, Perimeter Institute for Theoretical Physics49, McMaster University50
TL;DR: In this paper, a set of simplified models for dark matter and its interactions with the Standard Model particles are presented, and the guiding principles underpinning these simplified models are spelled out, and some suggestions for implementation are presented.
318 citations
University of Granada1, ETH Zurich2, University of Illinois at Urbana–Champaign3, University of Groningen4, University of Utah5, University of Potsdam6, University of Tokyo7, University of Jaén8, University College Cork9, Seoul National University10, University of Glasgow11, University of Denver12, Princeton University13, Spanish National Research Council14, University of Grenoble15, National Museum of Natural History16, University of Bonn17, Panjab University, Chandigarh18, University of Düsseldorf19, Skolkovo Institute of Science and Technology20, Technical University of Berlin21, John Innes Centre22, Nanjing University23, Massachusetts Institute of Technology24, Leiden University25, Fudan University26, Chinese Academy of Sciences27
TL;DR: The review discusses the new classes of RiPPs that have been discovered, the advances in the understanding of the installation of both primary and secondary post-translational modifications, and the mechanisms by which the enzymes recognize the leader peptides in their substrates.
318 citations
Stanford University1, University of California, Berkeley2, California Institute of Technology3, Ames Research Center4, Los Alamos National Laboratory5, Cornell University6, Lawrence Livermore National Laboratory7, University of Arizona8, National Research Council9, National Institutes of Natural Sciences, Japan10, Princeton University11, University of Notre Dame12, University of Georgia13, Université de Montréal14, University of Grenoble15, University of Chicago16, University of California, Los Angeles17, Amherst College18, University of California, Santa Cruz19, University of Victoria20, University of Michigan21, European Southern Observatory22, University of Exeter23, Arizona State University24, United States Geological Survey25, Pennsylvania State University26, Search for extraterrestrial intelligence27, University of California, San Diego28, University of Western Ontario29, Stony Brook University30, American Museum of Natural History31, Space Telescope Science Institute32, University of Cambridge33, Johns Hopkins University34, Leiden University35
TL;DR: Nielsen et al. as discussed by the authors presented a statistical analysis of the first 300 stars observed by the Gemini Planet Imager Exoplanet Survey (GPEES) to infer the underlying distributions of substellar companions with respect to their mass, semimajor axis, and host stellar mass.
Abstract: Author(s): Nielsen, EL; De Rosa, RJ; Macintosh, B; Wang, JJ; Ruffio, JB; Chiang, E; Marley, MS; Saumon, D; Savransky, D; Mark Ammons, S; Bailey, VP; Barman, T; Blain, C; Bulger, J; Burrows, A; Chilcote, J; Cotten, T; Czekala, I; Doyon, R; Duchene, G; Esposito, TM; Fabrycky, D; Fitzgerald, MP; Follette, KB; Fortney, JJ; Gerard, BL; Goodsell, SJ; Graham, JR; Greenbaum, AZ; Hibon, P; Hinkley, S; Hirsch, LA; Hom, J; Hung, LW; Ilene Dawson, R; Ingraham, P; Kalas, P; Konopacky, Q; Larkin, JE; Lee, EJ; Lin, JW; Maire, J; Marchis, F; Marois, C; Metchev, S; Millar-Blanchaer, MA; Morzinski, KM; Oppenheimer, R; Palmer, D; Patience, J; Perrin, M; Poyneer, L; Pueyo, L; Rafikov, RR; Rajan, A; Rameau, J; Rantakyro, FT; Ren, B; Schneider, AC; Sivaramakrishnan, A; Song, I; Soummer, R; Tallis, M; Thomas, S; Ward-Duong, K; Wolff, S | Abstract: We present a statistical analysis of the first 300 stars observed by the Gemini Planet Imager Exoplanet Survey. This subsample includes six detected planets and three brown dwarfs; from these detections and our contrast curves we infer the underlying distributions of substellar companions with respect to their mass, semimajor axis, and host stellar mass. We uncover a strong correlation between planet occurrence rate and host star mass, with stars M ∗ g1.5 M o more likely to host planets with masses between 2 and 13M Jup and semimajor axes of 3-100 au at 99.92% confidence. We fit a double power-law model in planet mass (m) and semimajor axis (a) for planet populations around high-mass stars (M ∗ g1.5 M o) of the form , finding α = -2.4 +0.8 and β = -2.0 +0.5, and an integrated occurrence rate of % between 5-13M Jup and 10-100 au. A significantly lower occurrence rate is obtained for brown dwarfs around all stars, with % of stars hosting a brown dwarf companion between 13-80M Jup and 10-100 au. Brown dwarfs also appear to be distributed differently in mass and semimajor axis compared to giant planets; whereas giant planets follow a bottom-heavy mass distribution and favor smaller semimajor axes, brown dwarfs exhibit just the opposite behaviors. Comparing to studies of short-period giant planets from the radial velocity method, our results are consistent with a peak in occurrence of giant planets between ∼1 and 10 au. We discuss how these trends, including the preference of giant planets for high-mass host stars, point to formation of giant planets by core/pebble accretion, and formation of brown dwarfs by gravitational instability.
318 citations
Authors
Showing all 25961 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Dieter Lutz | 139 | 671 | 67414 |
| Marcella Bona | 137 | 1391 | 92162 |
| Nicolas Berger | 137 | 1581 | 96529 |
| Cordelia Schmid | 135 | 464 | 103925 |
| J. F. Macías-Pérez | 134 | 486 | 94715 |
| Marina Cobal | 132 | 1078 | 85437 |
| Lydia Roos | 132 | 1284 | 89435 |
| Tetiana Hryn'ova | 131 | 1059 | 84260 |
| Johann Collot | 131 | 1018 | 82865 |
| Remi Lafaye | 131 | 1012 | 83281 |
| Jan Stark | 131 | 1186 | 87025 |
| Sabine Crépé-Renaudin | 129 | 1142 | 82741 |
| Isabelle Wingerter-Seez | 129 | 930 | 79689 |
| James Alexander | 129 | 886 | 75096 |
| Jessica Levêque | 129 | 1006 | 70208 |