Institution
Mines ParisTech
Education•Paris, France•
About: Mines ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Microstructure. The organization has 6564 authors who have published 11676 publications receiving 359898 citations. The organization is also known as: École nationale supérieure des mines de Paris & École des mines de Paris.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Diazonium salt chemistry and atom transfer radical polymerization (ATRP) were combined in view of preparing new bioactive hairy diamond nanoparticles containing, or potentially containing, nitrogen-vacancy (NV) fluorescent centers (fluorescent nanodiamonds, or fNDs).
Abstract: Diazonium salt chemistry and atom transfer radical polymerization (ATRP) were combined in view of preparing new bioactive hairy diamond nanoparticles containing, or potentially containing, nitrogen-vacancy (NV) fluorescent centers (fluorescent nanodiamonds, or fNDs). fNDs were modified by ATRP initiators using the electroless reduction of the diazonium salt BF4−,+N2−C6H4−CH(CH3)−Br. The strongly bound aryl groups −C6H4−CH(CH3)−Br efficiently initiated the ATRP of tert-butyl methacrylate (tBMA) at the surface of the nanodiamonds, which resulted in obtaining ND-PtBMA hybrids. The grafted chain thickness, estimated from X-ray photoelectron spectroscopy (XPS), was found to increase linearly with respect to time before reaching a plateau value of ca. 2 nm. These nanoobjects were further hydrolyzed into ND-PMAA (where PMAA is the poly(methacrylic acid) graft) and further decorated by bovine serum albumin through the 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide (EDC/NHS) coupling procedure.
104 citations
••
TL;DR: In this paper, the authors studied the penetration probability in the even-even nuclei from Pb to U and the shell closure effects played a key role in the particle preformation.
Abstract: The \ensuremath{\alpha} particle preformation in the even-even nuclei from $^{108}\mathrm{Te}$ to ${}^{294}$118 and the penetration probability have been studied. The isotopes from Pb to U have been firstly investigated since the experimental data allow us to extract the microscopic features for each element. The assault frequency has been estimated using classical methods and the penetration probability from tunneling through the Generalized Liquid Drop Model (GLDM) potential barrier. The preformation factor has been extracted from experimental \ensuremath{\alpha} decay energies and half-lives. The shell closure effects play the key role in the \ensuremath{\alpha} preformation. The more the nucleon number is close to the magic numbers, the more the formation of \ensuremath{\alpha} cluster is difficult inside the mother nucleus. The penetration probabilities reflect that 126 is a neutron magic number. The penetration probability range is very large compared to that of the preformation factor. The penetration probability determines mainly the \ensuremath{\alpha} decay half-life while the preformation factor allows us to obtain information on the nuclear structure. The study has been extended to the newly observed heaviest nuclei.
104 citations
••
TL;DR: This new gelation technique leads to a structure different from that produced during alkaline coagulation of a chitosan solution, which has a double layer structure corresponding to a very compact 100-microm thick external layer and an internal structure of small pores.
104 citations
••
TL;DR: The need for SOSA is motivated, an overview of the main classes and properties are provided, and its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC’s Observations and Measurements (O&M), Dolce-Ultralite (DUL), and other prominent ontologies are discussed.
Abstract: The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modeling the interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN's Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on \emph{Spatial Data on the Web}. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC's Observations and Measurements (O\&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modeling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at \url{this https URL}.
104 citations
••
TL;DR: A robust nonlinear control law is designed to reject unknown feed composition disturbances with overall stability and can be synthesized with measurements commonly available on distillation columns: the product compositions and two inner temperatures.
103 citations
Authors
Showing all 6591 results
Name | H-index | Papers | Citations |
---|---|---|---|
Francis Bach | 110 | 484 | 54944 |
Olivier Delattre | 103 | 490 | 39258 |
Richard M. Murray | 97 | 711 | 69016 |
Bruno Latour | 96 | 364 | 94864 |
George G. Malliaras | 94 | 382 | 28533 |
George S. Wilson | 88 | 716 | 33034 |
Zhong-Ping Jiang | 81 | 597 | 24279 |
F. Liu | 80 | 428 | 23869 |
Kazu Suenaga | 75 | 329 | 26287 |
Carlo Adamo | 75 | 444 | 36092 |
Edith Heard | 75 | 196 | 23899 |
Enrico Zio | 73 | 1127 | 23809 |
John J. Jonas | 70 | 379 | 21544 |
Bernard Asselain | 69 | 409 | 23648 |
Eric Guibal | 69 | 294 | 16397 |