High-throughput computational solvent screening for lignocellulosic biomass processing

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Bio-based lightweight materials are promising replacements for petroleum-based foams in building and packaging applications. In this work, we developed a surfactant-assisted foam-forming method to manufacture lightweight materials based on lignocellulosic ...

The power-to-methane process using a solid-oxide electrolyser, followed by an exothermic methanation reactor, is effective for the production of an energy carrier (synthesis methane) that can be readily stored and transported at a large scale. A significan ...

Modern occupants hardly use their capacity to adapt to the wide range of thermal environments due to living in well-insulated buildings with indoor climatization. However, climate change with associated health hazards necessitates exploring the limits of h ...

Truly wearable, fully flexible, and multiparametric sweat analysis with soft and socially discrete packaging offers tremendous potential to enable the next generation of noninvasive digital biomarkers analysis. Several examples of miniaturized potentiometr ...

Heavy metal contamination has become one of the greatest global environmental problems. In this study, a magnetic calcium-alginate hydrogel-sphere encapsulated with Fe-Mn-Zr ternary-metal composite (MCHETC) was prepared through a combined co-precipitation ...

This paper investigates the influence of typical gravity connections on the seismic demands of steel concentrically braced frame (CBF) buildings with friction dampers as dissipative floor connectors. The investigated connections include (i) typical shear t ...

The exploration of renewable resources is essential to help transition toward a more sustainable materials economy. The valorization of lignin can be a key component of this transition. Lignin is an aromatic polymer that constitutes approximately one-third ...

This work proposes a differential evolution algorithm to control a vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, and constraints associated with the power converters' operation, battery charging strategy, and initial ...

Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient. In many regions, implementing such systems can be difficult due to the lack of centralization and automation of postharvest supply chai ...

The Central Solenoid (CS) is at the core of the EU DEMO tokamak, and has a strong impact on the tokamak design and the overall machine size. By ramping its current, the CS generates a change of magnetic flux, which initiates the plasma, and induces and con ...

A methodology based on compressive sampling is developed for incomplete wind time-histories reconstruction and extrapolation in a single spatial dimension, as well as for related stochastic field statistics estimation. This relies on l1-norm minimization i ...

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their potential for energy savings are potentially underutilized due to the fact ...

A significant effort has recently been initiated at ETHZ for the development of high frequency, high power, frequency-agile gyrotrons for DNP-NMR spectroscopy. In this context an in house cavity interaction code is under development. In this paper, some de ...

In this paper, we precisely quantify the wavelet compressibility of compound Poisson processes. To that end, we expand the given random process over the Haar wavelet basis and we analyse its asymptotic approximation properties. By only considering the nonz ...

High-throughput computational solvent screening for lignocellulosic biomass processing

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Surfactant-assisted foam-forming of high performance ultra-low density structures made from lignocellulosic materials and cellulose nanofibrils (CNFs)

Evaporating water-cooled methanation reactor for solid-oxide stack-based power-to-methane systems: Design, experiment and modeling

Behavioral adaptations to cold environments: A comparative study of active nomadic and modern sedentary lifestyles

Editorial: Structural sensing for asset management

Inkjet-Printed Soft Intelligent Medical Bracelet for Simultaneous Real-Time Sweat Potassium (K+), Sodium (Na+), and Skin Temperature Analysis

Development of a magnetic calcium-alginate hydrogel-sphere encapsulated with Fe-Mn-Zr ternary metal composite for heavy metal adsorption

Influence of gravity connections and damper activation forces on the seismic behavior of steel CBF buildings with dissipative floor connectors

Opportunities and Challenges for Lignin Valorization in Food Packaging, Antimicrobial, and Agricultural Applications

Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations

Facilitated machine learning for image-based fruit quality assessment

Parametric Studies of the EU DEMO Central Solenoid

Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods

Distributed model predictive control of buildings and energy hubs

Development of Kilowatt THz Gyrotrons for Pulsed Dynamic Nuclear Polarization - Cavity Design Code Phaedra -

The Wavelet Compressibility of Compound Poisson Processes