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structure of the resulting supracrystals plays a key role in determining their macroscopic properties, and hence their suitability for technological application as e.g. catalysts, sensors, or photonic
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respect to an infinitesimal perturbation of the dataset, provide a rigorous framework to: - **Identify the most informative samples** among the predictions of a deep neural network (DNN), with the goal
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role in intracellular transport. As such, they play an important role in nuclear positioning. Our team is studying, in a developmental context, how multiple microtubule networks cooperate to position
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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
, Polymerization, Processes and Materials Laboratory (CP2M, Lyon). IS2M and CP2M will leverage their respective expertise in emulsion stepwise polymerization and dynamic covalent networks to synthesize functional
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Bordeaux. Cell membranes serve as dynamic interfaces between compartments, where intricate signaling networks converge, giving rise to emergent behaviors such as signal amplification, specificity, and
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project FADOS focusing on a holistic approach of doping in organic electronics. The European Marie Sklodowska-Curie Innovative Training Network FADOS brings together 11 academic institutions, including
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Networks (CANs) are thermosets in which permanent covalent crosslinks have been substituted by exchangeable bonds creating a new family of polymer at the border of thermosets and thermoplastics.1 Despite
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global anthropogenic CO2 emissions. Decarbonizing the cement industry to achieve net-zero is particularly challenging because a significant fraction of CO2 emissions stems from the intrinsic chemical
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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provided by the EUROfusion Horizon Europe consortium, which offers access to a large collaborative network and European EURATOM funding. To model the behavior of hydrogen in materials, we use electronic