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Anion Exchange Ionomers Enable Sustained Pure-Water Electrolysis Using Platinum-Group-Metal-Free Electrocatalysts

Xile Hu, Ariana Serban, Fang Song, Nanjun Chen, Yiwei Zheng

Anion exchange membrane water electrolyzer (AEMWE) is a rising technology that offers potential advantages in cost and scalability over proton exchange membrane water electrolyzer (PEMWE) technology. However, AEMWEs that stably operate in pure water still ...

2023

Voltage-driven Reactivity of Liquid Ga and CuGa Nanoparticles for Electrocatalytic CO2 Reduction and Synthesis

Valery Okatenko

The rising atmospheric level of carbon dioxide, CO2, contributes to climate change and poses urgent need to find scalable solutions both to decrease its emissions and to be able to recycle it, if the goals of Paris Agreement to limit the temperature rise a ...

EPFL2023

Shoot-Through Protection for an IGCT-Based ZVS Resonant DC Transformer

Drazen Dujic, Jakub Kucka

IGCTs have successfully demonstrated to be well-suited devices for an application in medium-voltage dc transformers based on LLC resonant converter topology. This application enables unusually high switching frequencies in kHz range thanks to the zero-volt ...

2022

A universal workflow for creation, validation and generalization of detailed neuronal models

Henry Markram, Srikanth Ramaswamy, Mustafa Anil Tuncel, Werner Alfons Hilda Van Geit, Alexis Arnaudon, Christian Andreas Rössert, Maria Reva, Tanguy Pierre Louis Damart, Darshan Mandge

Detailed single neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools are dedicated to the reproduction of a small set of specific ...

Cambridge2023

Computation Complexity Reduction Technique for Accurate Seizure Detection Implants

Alexandre Schmid, Keyvan Farhang Razi

An automatic seizure detection method from high-resolution intracranial-EEG (iEEG) signals is presented to minimize the computational complexity and realize real-time accurate seizure detection for biomedical implants. Complex signal processing on a large ...

IEEE2022

Boosting hydrogen production via urea electrolysis on an amorphous nickel phosphide/graphene hybrid structure

Paul Joseph Dyson, Zhaofu Fei, Lu Chen, Yun Tong

Overall urea electrolysis has favorable thermodynamic properties and can complement traditional water splitting by simultaneously purifying urea-rich waste streams. However, the kinetics of the reaction is slow and more efficient catalysts are required. In ...

SPRINGER2021

In-depth Cryogenic Characterization of 22 nm FDSOI Technology for Quantum Computation

Edoardo Charbon, Christian Enz, Farzan Jazaeri, Hung-Chi Han, Antonio D'Amico

In this paper, the influence of temperature and back-gate bias is experimentally investigated on 22 nm FDSOI CMOS process. Cryogenic DC characterization was carried out under various back-gate voltages, V back , from 2.95 K back to 300 K. An abrupt drop-of ...

IEEE2021

Cell-type-specific nicotinic input disinhibits mouse barrel cortex during active sensing

Carl Petersen, Sylvain Crochet, Célia Roxane Gasselin, Benoît Hohl

Fast synaptic transmission relies upon the activation of ionotropic receptors by neurotransmitter release to evoke postsynaptic potentials. Glutamate and GABA play dominant roles in driving highly dynamic activity in synaptically connected neuronal circuit ...

CELL PRESS2021

Combined hydrogen production and electricity storage using a vanadium-manganese redox dual-flow battery

Hubert Girault, Danick Reynard

A redox dual-flow battery is distinct from a traditional redox flow battery (RFB) in that the former includes a secondary energy platform, in which the pre-charged electrolytes can be discharged in external catalytic reactors through decoupled redox-mediat ...

ELSEVIER2021

In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

Henry Markram, Eilif Benjamin Muller, Michael Reimann, Marwan Muhammad Ahmed Abdellah, Taylor Howard Newton, Grigori Chevtchenko

Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in ...

Nature Research2021

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