BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//FeRMI - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:FeRMI
X-ORIGINAL-URL:https://fermi.univ-tlse3.fr
X-WR-CALDESC:Évènements pour FeRMI
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240919T140000
DTEND;TZID=Europe/Paris:20240919T160000
DTSTAMP:20260413T122319
CREATED:20240915T080715Z
LAST-MODIFIED:20240916T135312Z
UID:10974-1726754400-1726761600@fermi.univ-tlse3.fr
SUMMARY:Brain-like Computation with Percolating Networks of Nanoparticles. - (Simon Brown / LPCNO / Seminar). - 19/09/2024
DESCRIPTION:Séminaire LPCNO  \nSimon Brown\, University of Canterbury\, Christchurch\, NZ \nSSeminar room\, INSA\, Build. 27\, Room 2.20 (2nd floor left) \nAbstract \nSelf-assembled networks of nanoparticles have recently emerged as important candidate systems for brain-like (or neuromorphic) information processing.[1] The essence of the approach is to take advantage of the intrinsic dynamical properties of these networks to implement brain-inspired approaches to computation.[2] \nOur percolating networks of nanoparticles (PNNs\, Fig 1(a)) are self-assembled via simple deposition processes that are completely CMOS compatible\, making them attractive for integration.[3] The tunnel gaps between particles (Fig 1(b)) turn out to have neuron-like properties\, which means that PNNs can be viewed as networks of neurons.[4] Neuron-like electrical spikes are generated when \nWe have explored brain-like computation with PNNs in two regimes\, beginning with simulations[5\,6\,7] that allow us to understand the processes and refine parameters\, and then moving to experimental demonstrations[8]. At low voltages\, the devices are amenable to reservoir computation and we have successfully demonstrated time series prediction\, non-linear transformation and spoken digit recognition.[5\,8] In the high voltage regime\, the spiking behaviour of the ‘neurons’ has been exploited to perform Boolean logic and MNIST classification[6]\, and\, most recently\, optimization tasks including specifically integer factorisation[7] \n[1] J. B. Mallinson et al\, Science Advances 5\, eaaw8438 (2019).\n[2] S. Shirai et al\, Network Neuroscience 4\, 432 (2020).\n[3] A. Sattar et al\, Phys. Rev. Lett. 111\, 136808 (2013).\n[4] R. K. Daniels\, et al Neural Networks 154\, 122 (2022)\, Phys. Rev. Applied 20\, 034021 (2023).\n[5] J. B. Mallinson et al\, Nanoscale 15\, 9663 (2023).\n[6] S. J. Studholme et al\, Nano. Lett. 23\, 10594 (2023).\n[7] S. J. Studholme et al\, in press\, ACS Nano (2024).\n[8] J. B. Mallinson et al\, Advanced Materials (2024); adma.202402319
URL:https://fermi.univ-tlse3.fr/event/brain-like-computation-with-percolating-networks-of-nanoparticles-simon-brown-lpcno-seminar-19-09-2024/
LOCATION:Salle 220\, LPCNO\, INSA – LPCNO : 135 avenue de Rangueil\, toulouse\, 31077\, France
CATEGORIES:Events,LPCNO,Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240930T140000
DTEND;TZID=Europe/Paris:20240930T160000
DTSTAMP:20260413T122319
CREATED:20240924T081638Z
LAST-MODIFIED:20240925T080112Z
UID:10976-1727704800-1727712000@fermi.univ-tlse3.fr
SUMMARY:Interfaces and nanoalloys: formation\, dynamics and relevance in catalysis. - (Christophe Copéret / LPCNO / Seminar). - 30/09/2024
DESCRIPTION:Séminaire LPCNO  \nChristophe Copéret\, ETH Zurich\, CH \nAmphi GEI13\, INSA\, Build. 19\, Room 13 (ground floor left) \nAbstract \nMost large-scale industrial processes rely on heterogeneous catalysts. Among them\, supported nanoparticles represent one of the largest classes\, for which the desired catalytic performances (activity\, selectivity and stability) often relate to specific combination of metals\, additives (promoters/poisons) and supports. The complexity of these multicomponent materials often relates to the use of conventional preparation methods in water\, associated dissolution/precipitation processes. They thus raise numerous questions on the role of each components\, and in particular on the role of specific compositions\, interfaces and alloying in driving catalytic properties. \nIn this context\, our group has developed synthetic methodologies to control the generation of active sites thanks to the concept of surface organometallic chemistry (SOMC). SOMC is anchored on molecular principles with the goal to understand the surface chemistry at a molecular level. It typically relies on controlling the density of functional groups like surface OH groups in oxide materials\, grafting molecular precursor to generate isolated metal sites\, following in many instances by a thermal treatment that removes the remaining ligands. This approach has been very successful in generating so-called single-site catalysts; it has also recently been shown to grow\, in a controlled manner\, nanoparticles with tailored compositions\, small and nanoparticle size distribution\, interfaces\, and even alloying. Furthermore\, these SOMC catalysts are specifically aimable to detailed characterization and operando spectroscopy\, hence the possibility to derive structure-activity relationships.[1] \nThis lecture focuses on showing how SOMC combined with state-of-the-art Operando spectroscopies\, in particular based on X-Ray Absorption (XAS) and IR\, augmented with computational modelling enable to understand the structure and the dynamics of active sites. The lecture will illustrate in particular how interfaces and/or alloys in nanoparticles are created and how these specific sites/interfaces evolve under reaction conditions and contributes to the catalytic events. This lecture will focus on two specific catalytic processes\, namely propane dehydrogenation and CO2 hydrogenation\,[2] which are two key industrial processes relevant to current and emerging strategies. Overall\, this lecture highlights how interfaces\, alloying and dynamics are driving the catalytic performances and how one need to revisit (open) our views on active sites in heterogeneous catalysis \nReferences:\n1 C. Copéret Single-Sites and Nanoparticles at Tailored Interfaces Prepared via Surface Organometallic Chemistry from Thermolytic Molecular Precursors. Acc. Chem. Res. 2019\, 52\, 1697–1708.\n2 a) Deciphering Metal-Oxide and Metal-Metal Interplay via Surface Organometallic Chemistry: A Case Study with CO2 Hydrogenation to Methanol. S. R. Docherty\, C. Copéret J. Am. Chem. Soc. 2021\, 143\, 6767–6780. b) Heterogeneous Alkane Dehydrogenation Catalysts Investigated via a Surface Organometallic Chemistry Approach. S. R. Docherty\, L. Rochlitz\, P.-A. Payard\, C. Copéret Chem. Soc. Rev. 2021\, 50\, 5806 – 5822
URL:https://fermi.univ-tlse3.fr/event/interfaces-and-nanoalloys-formation-dynamics-and-relevance-in-catalysis-cristophe-coperet-lpcno-seminar-30-09-2024/
CATEGORIES:Events,LPCNO,Seminars
END:VEVENT
END:VCALENDAR