59 research outputs found

    Probing Interfacial Processes of Lithium Ion Batteries

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    In the last decade, lithium ion batteries held a major role in the path towards personal electronics due to being lightweight and providing a high energy density. However, several problems have been identified with lithium ion batteries. Due to inherent instability, lithium ion batteries are known to have issues with safety and capacity loss. Our goal is to advance the understanding of the electrochemical processes, specifically the interfacial processes at the anode, to continue their advancement in our electronic age. At the interface of the electrolyte and anode, during the first several charging and discharging cycles, appears a protective layer by interaction of decomposed electrolyte at the electrode surface. This protective layer, termed the solid electrolyte interphase, is of particular importance as it increases the stability, impeding dendrite growth, and ultimately leading to improved capacity and safety. Our electrolyte is a lithium salt (LiClO4) with ethylene carbonate (EC) in a tetrahydrofuran (THF) solvent, leading, primarily, to one of the main SEI contributors, lithium ethylene dicarbonate (LiEDC). By spectroscopically probing the interface with sumfrequency generation and simultaneously scanning with cyclic voltammetry, we are able to see the SEI contribution formation in real time.Ope

    Hexafluoroisopropanol-Promoted Metal-Free Allylation of Silyl Enol Ethers with Allylic Alcohols

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    A metal-free protocol for the reaction of silyl enol ethers with allylic alcohols based on the use of 1,1,1,3,3,3-hexafluoroisopropanol as a promoter able to activate both reactants, is described. This simple and straightforward transformation proceeds smoothly under mild conditions, rendering the corresponding allylated products in generally good yields.Financial support from the University of Alicante (UAUSTI16-03, UAUSTI16-10, VIGROB-173) and the Spanish Ministerio de EconomĂ­a, Industria y Competitividad (CTQ2015-66624-P) is acknowledged

    Pinacol Rearrangement and Direct Nucleophilic Substitution of Allylic Alcohols Promoted by Graphene Oxide and Graphene Oxide CO2H

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    Graphene oxide (GO) and carboxylic acid functionalized GO (GO–CO2H) have been found to efficiently promote the heterogeneous and environmentally friendly pinacol rearrangement of 1,2-diols and the direct nucleophilic substitution of allylic alcohols. In general, high yields and regioselectivities are obtained in both reactions using 20 wt % of catalyst loading and mild reaction conditions.Financial support from the University of Alicante (UAUSTI16-03, VIGROB-173), and Spanish Ministerio de Economía y Competitividad (CTQ2015-66624-P) is acknowledged

    Developing Spin and Polarization Order in 2D Hybrid Perovskites

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    Metal-halide perovskite (MHP) semiconductor materials have demonstrated a booming rise in optoelectronic performance, spanning IR to the ionizing radiation regimes. MHP crystals are largely enabled by avenues of multifunctionality, such as strong light absorption/emission, charge carrier conduction, and multiferroic properties, which are cooperatively engineered to break theoretical conversion efficiency limits. Without doubt, curiosity accumulates around the fundamental material physics of their broadly tunable optical, electronic, and magnetic properties. This work aims to impact the fundamental understanding of polarization and spin order in MHPs, while developing material solutions towards sensing and imaging from the IR to high energy (X-ray, gamma-ray) radiation. Bulk single crystals and single-crystalline like films of 2D-phase MHP are prepared with crystal chemistries that host multiferroic properties (ferroelectric-ferroelastic-ferromagnetic), exhibit strong light absorption/emission, and support carrier conduction. The broken inversion symmetry and strong orbital polarization of 2D-phase MHPs promote spatial ordering of excitonic states and spin-dependent Rashba band splitting, leading to excited state polarization and spin order. Several MHPs are developed as platforms to investigate the fundamental mechanisms involved in photo-ferroelectric and photo-ferromagnetic coupling. Ultra-fast spectroscopic measurements, such as transient absorption and time-resolved photoluminescence with temperature and light polarization dependence, reveals tunable coupling of photoexcited excitons. Further in-situ optical characterization uncovers extraordinary excited state dynamics in ferroelectric 2D-phase MHPs. Active control of the spin degree of freedom in ferroelectrics is shown using circularly polarized photoexcitation into the Rashba bands, where the resulting spin-polarized states are found to be spin-operability through varying interfacial spin. This optical-magnetic coupling behavior is further investigated through the magnetic and chemical depth sensitive polarized neutron reflectometry technique. Collectively, this work explores the microscopic structure-property behaviors of MHP to develop optical control and coupling with multifunctional properties toward breaking technical boundaries in optoelectronic devices

    Catalyse par un acide Brønsted assistée par les composés nitro : activation des liaisons C(sp3)–O and C(sp3)–F

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    Alcohols are attractive electrophilic partners for nucleophilic substitution reactions as water is the only by-product in a reaction with protic nucleophiles. Despite being a highly desirable reaction, the scope of useful catalytic transformations remains limited to specific alcohol-nucleophile pairs and a general set of catalytic conditions remains elusive. This thesis describes the development of a general and mild catalyst system for the activation of a broad range of π-activated and aliphatic alcohols to address key limitations in the field. B(C6F6)3•H2O, a strong Brønsted acid, when combined with nitromethane has been found as a widely useful catalyst system for chemoselective alcohol substitution in the presence of acid sensitive functionalities and protecting groups without the typical compromises in reaction rates, substrate/nucleophile scope and catalyst loading. In particular, a co-catalytic effect of nitro compounds is described for the B(C6F6)3•H2O catalyzed azidation of tertiary aliphatic alcohols, enabling catalyst turnover for the first time. On the basis of kinetic, electronic, and spectroscopic investigations, higher order hydrogen-bonded aggregates of nitro compounds and acids are proposed as kinetically competent Brønsted acid catalysts at the origin of the enhanced reactivity. The utility of the new catalytic conditions has been extended beyond alcohol activation and applied to the cleavage of strong C–F bonds in defluorinative Friedel-Crafts reactions of tertiary aliphatic fluorides.Les alcools sont des partenaires électrophiles attractifs pour des réactions de substitution nucléophile puisque l'eau est le seul sous-produit de la réaction en présence de nucléophiles protiques. Malgré le fait que la réaction soit fortement intéressante, la portée des transformations catalytique reste limitée à une combinaison spécifique alcool/nucléophile, ce qui rend l’emploi d’un ensemble général de conditions catalytiques fortement élusif. Cette thèse décrit le développement d'un système général de catalyse doux pour l'activation d'une large gamme d’alcools π-activés ainsi que d’alcools aliphatiques abordant ainsi les limitations clés dans le domaine. B(C6F6)3•H2O, un acide de Brønsted fort quand il est combiné avec le nitrométhane, a été découvert comme étant un système catalytique idéal pour la substitution chimiosélective d'alcools en présence de fonctionnalités et de groupements protecteurs sensibles aux conditions acides sans le compromis typique entre vitesse de réaction, réactivité substrat/nucléophile et quantité de catalyseur. Plus particulièrement, un effet co-catalytique de composés nitro est décrit pour la réaction d’azidation des alcools aliphatiques tertiaires en employant B(C6F6)3•H2O, permettant, pour la première fois, un turnover catalytique. Sur la base des investigations cinétiques, électroniques et spectroscopiques qui ont été menées, des agrégats de composés nitro et d’acides liés par des intéractions hydrogènes sont proposé comme étant l’espèce catalytiques responsables de la cinétique de la catalyse observée. L'utilité des nouvelles conditions catalytiques a été étendue au-delà de l'activation d'alcool et appliquée au clivage des liaisons fortes C-F dans les réactions de Friedel-Crafts défluorinatives de fluorures aliphatiques tertiaires

    Autocatalytic Friedel–Crafts Reactions of Tertiary Aliphatic Fluorides Initiated by B(C<sub>6</sub>F<sub>5</sub>)<sub>3</sub>·H<sub>2</sub>O

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    The C–F bond is the strongest single bond to carbon, constituting an intrinsic challenge for selective catalytic activation in the presence of other functional groups. Existing methods for the activation of tertiary aliphatic fluorides involve stoichiometric abstraction with fluorophilic Lewis acids or by Lewis-acid-catalyzed trapping with Si reagents. Herein, we describe a B­(C<sub>6</sub>F<sub>5</sub>)<sub>3</sub>·H<sub>2</sub>O-catalyzed Friedel–Crafts reaction of tertiary alkyl fluorides that proceeds rapidly at room temperature without trapping reagents. The method is completely selective for F<sup>–</sup> over traditionally better leaving groups and displays an autocatalytic kinetic profile

    Generative model based on junction tree variational autoencoder for HOMO value prediction and molecular optimisation

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    In this work, we provide further development of the junction tree variational autoencoder (JT VAE) architecture in terms of implementation and application of the internal feature space of the model. Pretraining of JT VAE on a large dataset and further optimization with a regression model led to a latent space that can solve several tasks simultaneously: prediction, generation, and optimization. We use the ZINC database as a source of molecules for the JT VAE pretraining and the QM9 dataset with its HOMO values to show the application case. We evaluate our model on multiple tasks such as property (value) prediction, generation of new molecules with predefined properties, and structure modification toward the property. Across these tasks, our model shows improvements in generation and optimization tasks while preserving the precision of state-of-the-art models
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