Synthesis of branching morphologies

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In this perspective communication, we briefly sketch the current state of computational (bio)material research and discuss possible solutions for the four challenges that have been increasingly identified within this community: (i) the desire to develop a ...

One of the main challenges for certain electricity production technologies (e.g. renewables) is the capability to supply energy according to the demand. It follows that storing energy is a possible solution to the inadequacy between production and demand. ...

The growing need for connected, smart and energy efficient devices requires them to provide both ultra-low standby power and relatively high computing capabilities when awoken. In this context, emerging resistive memory technologies (RRAM) appear as a prom ...

Axonal conduction velocity, which ensures efficient function of the brain network, is related to axon diameter. Noninvasive, in vivo axon diameter estimates can be made with diffusion magnetic resonance imaging, but the technique requires three-dimensional ...

A skyrmion state in a noncentrosymmetric helimagnet displays topologically protected spin textures with profound technological implications for high-density information storage, ultrafast spintronics, and effective microwave devices. Usually, its equilibri ...

Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these ...

A method for generating a data structure to digitally represent a geometrical object based on H-splines, the method being performed on a computer device having a data processor and memory, the method including the steps of creating a first data structure a ...

This thesis deals with different aspects of renewable energy transformation and storage concepts and connects them. Although renewable energy installations are growing worldwide, their use is limited by storage technologies. As such, water splitting for hy ...

We demonstrate, both theoretically and experimentally, the concept of nonlinear second-order topological insulators, a class of bulk insulators with quantized Wannier centers and a bulk polarization directly controlled by the level of nonlinearity. We show ...

Graph processing systems are used in a wide variety of fields, ranging from biology to social networks. Algorithms to mine graphs incur many random accesses, and the sparse nature of the graphs of interest, exacerbates this. As DRAM sustains high bandwidt ...

Synthesis of branching morphologies

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Unfolding the prospects of computational (bio)materials modeling

Aqueous Redox Flow Batteries Enhanced by Solid Boosters

RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures

Axon morphology is modulated by the local environment and impacts the noninvasive investigation of its structure-function relationship

Room-temperature skyrmion phase in bulk Cu2OSeO3 under high pressures

An efficient analytical reduction of detailed nonlinear neuron models

Method and system for the creation of an h-spline based data structure, data storage, and data representation

Investigations into Nanostructured Materials for Water Splitting and Direct Solar Energy Harvesting

Nonlinear Second-Order Topological Insulators

Efficient large-scale graph processing: optimisations for storage, performance and evolving graphs