Polypeptide brushes grown via surface-initiated ring-opening polymerization of alpha-amino acid N-carboxyanhydrides

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Geometric deep learning models, which incorporate the relevant molecular symmetries within the neural network architecture, have considerably improved the accuracy and data efficiency of predictions of molecular properties. Building on this success, we int ...

We study the drainage of a viscous liquid film coating the outside of a solid horizontal cylinder, where gravity acts vertically. We focus on the limit of large Ohnesorge numbers Oh, where inertia is negligible compared to viscous effects. We first study t ...

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Colloidal atomic layer deposition (c-ALD) enables the growth of hybrid organic/inorganic oxide shells with tunable thickness at the nanometer scale around ligand-functionalized inorganic nanoparticles (NPs). This recently developed method has demonstrated ...

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In this dissertation, carbon is proposed as an alternative electrode material to interface with semiconducting organic-inorganic metal halide perovskites in various optoelectronic applications. Carbon electrodes may offer, good device performance, while pr ...

The atomic level understanding and control of the electron transport has important advantages for many applications, such as molecular electronics, solar cells and sensors. The target of my Ph.D. work is to investigate electronic and chemical properties of ...

Nature and technical applications abound with thin viscous flows, ranging from the lava flow on volcanoes to the lubricating layer around confined bubbles in the microchannels of Lab-on-a-Chip devices. Countless are the examples where coating flows arise i ...

At the interface between science and engineering, there is the field of biomimicry: Innovations inspired by the observation of natural, evolutionary optimized biological structures and processes. To understand the challenges of biomimicry, the concept of â ...

Neuroprosthetic devices are engineered to study, support or replace impaired functions of the nervous system. The neural interface is an essential element of neuroprosthetic systems as it allows for transduction of signals and stimuli of desired functions ...

We study a nonlinear fluid–structure interaction (FSI) problem between an incompressible, viscous fluid and a composite elastic structure consisting of two layers: a thin layer (membrane) in direct contact with the fluid, and a thick layer (3D linearly ela ...

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The effect of an Al2O3 interlayer on the thermal conductance of metal (Al)/non-metal (diamond and silicon) interfaces is investigated using Time Domain ThermoReflectance (TDTR). Interlayers between 1.7 and 20nm are deposited on oxygen-terminated diamond an ...

Error-related EEG potentials (ErrP) can be used for brain-machine interfacing (BMI). Decoding of these signals, indicating subject's perception of erroneous system decisions or actions can be used to correct these actions or to improve the overall interfac ...

Brain-machine interfaces (BMI) usually decode movement parameters from cortical activity to control neuroprostheses. This requires subjects to learn to modulate their brain activity to convey all necessary information, thus imposing natural limits on the c ...

Certain natural materials such as bones not only show high stiffness and high damping performance but also exhibit other superior properties as the result of complex hierarchical structure formation. Synthetic polymer materials have demonstrated a great ve ...

One of the key features of organic optoelectronic and electronic devices resides in the multilayer architecture of the device stack. The performance of the latter strongly depends on the interface quality between organic layers or at the electrode heteroju ...

At the current stage, Brain-Computer Interfaces (BCIs) represent a promising technology for communication and control of assistive devices as well as for the clinical motor rehabilitation after a stroke. Current BCI systems may be divided in two main typol ...

Nanocomposite coatings composed of two phases with atomically sharp phase boundaries, show interesting mechanical properties. These properties are often originating from their high interface to volume ratio. Composites of nanocrystalline titanium nitride ( ...

Polypeptide brushes grown via surface-initiated ring-opening polymerization of alpha-amino acid N-carboxyanhydrides

Chattez avec Graph Search

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Damping Materials from Hierarchically Structured Oligopeptide-Modified Polymer Blends

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