Université de technologie de Troyes open archive
Not a member yet
10722 research outputs found
Sort by
Boosting the performances of semitransparent organic photovoltaics via synergetic near-infrared light management
No full textInternational audienceSemitransparent organic photovoltaics (ST‐OPVs) offer promising prospects for application in building‐integrated photovoltaic systems and greenhouses, but further improvement of their performance faces a delicate trade‐off between the two competing indexes of power conversion efficiency (PCE) and average visible transmittance (AVT). Herein, the authors take advantage of coupling plasmonics with the optical design of ST‐OPVs to enhance near‐infrared absorption and hence simultaneously improve efficiency and visible transparency to the maximum extent. By integrating core–bishell PdCu@Au@SiO 2 nanotripods that act as optically isotropic Lambertian sources with near‐infrared‐customized localized surface plasmon resonance in an optimal ternary PM6:BTP‐eC9:L8‐BO‐based ST‐OPV, it is shown that their interplay with a multilayer optical coupling layer, consisting of ZnS(130 nm)/Na 3 AlF 6 (60 nm)/WO 3 (100 nm)/LaF 3 (50 nm) identified from high‐throughput optical screening, leads to a record‐high PCE of 16.14% (certified as 15.90%) along with an excellent AVT of 33.02%. The strong enhancement of the light utilization efficiency by ≈50% as compared to the counterpart device without optical engineering provides an encouraging and universal pathway for promoting breakthroughs in ST‐OPVs from meticulous optical design
Integrating Human-Centricity, Sustainability, and Resilience in Digital Twin Models for Industry 5.0 : A Multi-Objective Optimization Approach
No full textInternational audienceThis paper presents the InduDesc framework, an innovative digital twin model within the CupCarbon software, designed for the advanced needs of Industry 5.0. It integrates human-centred ergonomics, sustainability and resilience into the Flexible Job Shop Scheduling Problem (FJSP), traditionally an NP-hard challenge. By minimising operating times and balancing machine utilisation with ergonomic and sustainability considerations, the framework provides a dynamic workload management tool based on real-time 'fatigue' metrics. Using a tabu search algorithm, InduDesc generates a Pareto frontier to help decision makers identify strategies that efficiently align with the integrated goals of Industry 5.0
Projet AILES et démarche Living Lab : travaux de recherche par l'UTT (2020-2023)
No full textLes travaux présentés dans ce document ont été menés dans le cadre du projet AILES à l'Université de technologie de Troyes entre septembre 2020 et août 2023. En s’informant auprès d’acteurs de l’orientation de la région Champagne-Ardenne et en combinant différentes méthodologies de recherche, les travaux ont cherché à comprendre l’écosystème de l’orientation, les pratiques des différents acteurs ainsi que leurs besoins afin de formuler des recommandations pertinentes pour améliorer l’accompagnement à la construction du parcours d’orientation des jeunes. Notre travail s’est situé dans la lignée des sciences participatives de l’orientation qui, en complément des sciences de l’éducation, vise à mieux accompagner les jeunes dans la construction de leur parcours.Ce travail a montré que l’étude de l’orientation sans une prise en compte des contraintes inhérentesaux établissements est impossible. Pour que les élèves puissent construire plus facilement leur parcours et leurs projets futurs, il apparait nécessaire de revoir la place de l’orientation dans les établissements, en garantissant les heures d’orientation dans les dotations des établissements et en appliquant l’ancrage disciplinaire de l’orientation, qui n’existe pour le moment que dans les textes. En l’état, les 54 heures d’orientation ne sont pas investies, l’orientation souffre d’un manque de place dans les établissements et les acteurs ne peuvent assurer un accompagnement efficace de tous les élèves
Coupled Non-Destructive Methods, Kelvin Force Probe Microscopy and µ-Raman to Characterize Doping in 4H-SiC Power Devices
No full textInternational audienceInvestigation of the doped areas in 4H-SiC power devices has been done by non-destructive characterization methods. It consists of local measurements of the surface potential by Kelvin Probe Force Microscopy (KPFM) coupled with scanning electron microscopy and µ-Raman spectroscopy. Near-field mappings of the devices' surface have been realized and allow us to differentiate their differently doped areas
Vers un cadre d'analyse des territoires agricoles en transition : une approche par le territoire et ses capacités de résilience
No full textInternational audienc
Simultaneous Backward Reduction algorithm for disassembly lot-sizing under random ordering lead time
No full textInternational audienceIn order to meet item demands, end-of-life (EOL) product and subassembly ordering and disassembly schedules are determined by disassembly lot sizing, which is the subject of this study. We take into consideration a stochastic version with undetermined ordering lead time (OLT). In this case, OLT stands for the amount of time that passes between placing and receiving an order (we can only order EOL products). Throughout the planning horizon, scenarios are used to model the stochasticity. The objective is to reduce the expected total of setup, purchasing, inventory, and backlog expenses. This is achieved by expressing the problem as a two-stage mixed integer linear programming (2S-MILP) model across all potential scenarios. The 2S-MILP is unsolvable since it is predicated on every scenario conceivable. A Simultaneous Backward Reduction approach is proposed to make it tractable. To confirm the suggested method’s efficacy, it is assessed in a variety of environments
Fano Resonance-Plasmonic Biosensors Based on Strong Coupling of Hybrid Plasmonic-Photonic Modes
No full textInternational audienceSurface Plasmon Resonance (SPR) sensors are a useful tool for biomolecule detection, offering label-free and real-time monitoring characteristics. However, traditional SPR sensors still face the challenges of limited detection sensitivity, especially for sensing small molecules with a low concentration level (less than 1 pM (10^−12 mol/L)). To overcome this challenge, in this paper, we designed a Kretschmann configuration which uses a plasmonic waveguide to generate a powerful Fano resonance through the coupling of the surface plasmon polariton (SPP) mode and photonic waveguide (PWG) mode at the sensing interface. By optimizing the thickness of the layers of the metamaterial structure, it is also possible to adjust the resonance angle, the reflectivity, the quality factor (Q factor), the intensity sensitivity, the angular sensitivity and the detection range. In our designed subwavelength grating waveguides (SWG) structure sensor, the intensity sensitivity reached 1.808 × 10^4 RIU^−1, which surpassed the intensity sensitivity of uniform Si layers by 5.14 times. This approach provides a framework for physicists and biologists to develop the future generation of medical diagnostic devices
Enhanced biosensing of tumor necrosis factor-alpha based on aptamer-functionalized surface plasmon resonance substrate and Goos–Hänchen shift
No full textInternational audienceTumor necrosis factor-alpha (TNF-α) serves as a crucial biomarker in various diseases, necessitating sensitive detection methodologies. This study introduces an innovative approach utilizing an aptamer-functionalized surface plasmon resonance (SPR) substrate together with an ultrasensitive measure, the Goos–Hänchen (GH) shift, to achieve sensitive detection of TNF-α. The developed GH-aptasensing platform has shown a commendable figure-of-merit of 1.5 × 10^4 μm per RIU, showcasing a maximum detectable lateral position shift of 184.7 ± 1.2 μm, as characterized by the glycerol measurement. Employing aptamers as the recognition unit, the system exhibits remarkable biomolecule detection capabilities, including the experimentally obtained detection limit of 1 aM for the model protein bovine serum albumin (BSA), spanning wide dynamic ranges. Furthermore, the system successfully detects TNF-α, a small cytokine, with an experimental detection limit of 1 fM, comparable to conventional SPR immunoassays. This achievement represents one of the lowest experimentally derived detection limits for cytokines in aptamer-based SPR sensing. Additionally, the application of the GH shift marks a ground breaking advancement in aptamer-based biosensing, holding significant promise for pushing detection limits further, especially for small cytokine targets
In-situ nucleation of silicon particles using environmental transmission eletron microscopy
No full textInternational audienceSilicon (Si) particles are excellent candidates for the development of optical metamaterials with high scattering efficiency for applications in anti-counterfeiting, nonlinear nanophotonics and enhanced Raman scattering. An optimized synthesis method that allows the fabrication of Si nanoparticles with resonant properties that depend on their size, crystallinity and density would open the way to the large-scale production of such so-called metamaterials..
Tying the policy knot: the Case of an Ongoing Digital Archiving Project for Patient Records
No full textInternational audienceOur study delves into the pivotal role of policies in the success of digital transformation initiatives, focusing on a case study of digitizing patient records at a general hospital. We aim to bridge the research gap on how policies are interpreted and applied in such projects, using a qualitative approach to understand the motivations and actions of the involved parties. By transitioning from paper to digital formats for clinical letters and test results, the project sought to optimize space and improve document access. Our findings, drawn from field notes and observations, highlight the diverse interests in digitization, from space management to policy compliance. We conclude with insights on the importance of policies in digital transformations, offering valuable lessons for future projects and digital archiving efforts