In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics

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Quantum random number generators (QRNGs) are a burgeoning technology used for a variety of applications, including modern security and encryption systems. Typical methods exploit an entropy source combined with an extraction or bit generation circuit in or ...

Organic electrochemical transistors (OECTs) have gained enormous attention due to their potential for bioelectronics and neuromorphic computing. However, their implementation into real-world applications is still impeded by a lack of understanding of the c ...

Cloud computing environments increasingly provision FPGAs because of their fine-grained, highly parallel, and flexible hardware architecture. The availability of FPGAs in the cloud fueled research on the security risks associated with exposing FPGA fabric ...

Event-based sensors have the potential to optimize energy consumption at every stage in the signal processing pipeline, including data acquisition, transmission, processing, and storage. However, almost all state-of-the-art systems are still built upon th ...

The Poisson-Nernst-Planck equations have been used to model species transport in electrochemical CO2 reduction, where the surface charge boundary condition accounts for the potential drop across the Stern layer. A direct comparison of the published models ...

Over the last decades, implantable neural interfaces have been extensively explored and effectively deployed to address neurological and mental health disorders. The existing solutions present several limitations. Firstly, the physical size of the implanta ...

Compressors for commercial and industrial heat-pumps in the 100kW-load range are currently dominated by positive displacementmachines. In the context of refrigerant phaseouts and changing regulations, natural refrigerants are seen as a compelling alternati ...

The pervasive adoption of field-programmable gate arrays (FPGAs) in both cyber-physical systems and the cloud has raised many security issues. Being integrated circuits, FPGAs are susceptible to fault and power side-channel attacks, which require physical ...

End-to-end learning methods like deep neural networks have been the driving force in the remarkable progress of machine learning in recent years. However, despite their success, the deployment process of such networks in safety-critical use cases, such as ...

We report on the design and characterization of two inductive proximity sensors based on LC oscillators operating at 500 MHz. The distance from the target is obtained by measuring the oscillation frequency variation. Both sensors contain an off-chip LC res ...

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision- and policy-making, and more, by comprehensively m ...

Transient electronics hold promise in reducing electronic waste, especially in applications that require only a limited lifetime. While various degradable electronic and physical sensing devices have been proposed, there is growing interest in the developm ...

The solid electrolyte interphase (SEI) is a key component of a lithium-ion battery forming during the first few dischage/charge cycles at the interface between the anode and the electrolyte. The SEI passivates the anode-electrolyte interface by inhibiting ...

Topological charge plays a significant role in a range of physical systems. In particular, observations of real-space topological objects in magnetic materials have been largely limited to skyrmions - states with a unitary topological charge. Recently, mor ...

The present invention concerns an electrolysis system for high temperature electrolysis including a plurality of flow-based electrolysis units configured to receive an electrolyte solution and to perform electrolysis to provide a first output gas and a sec ...

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

Defects in solids are unavoidable and can create complex electronic states that can significantly influence the electrical and optical properties of semiconductors. With the rapid progress in the integration of 2D semiconductors in practical devices, it is ...

A central question of machine learning is how deep nets manage to learn tasks in high dimensions. An appealing hypothesis is that they achieve this feat by building a representation of the data where information irrelevant to the task is lost. For image da ...

Microsupercapacitors (with footprints from -mm up to -cm scale) have attracted attention for use as electrochemical energy storage devices to power wearables, IoT, and other small microsystems due to their high power density, excellent charge/discharge rev ...

The spectral decomposition of cryptography into its life-giving components yields an interlaced network of tangential and orthogonal disciplines that are nonetheless invariably grounded by the same denominator: their implementation on commodity computing p ...

In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics

Chattez avec Graph Search

A 3.3-Gb/s SPAD-Based Quantum Random Number Generator

Unraveling the Electrochemical Electrode Coupling in Integrated Organic Electrochemical Transistors

Practical Implementations of Remote Power Side-Channel and Fault-Injection Attacks on Multitenant FPGAs

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

Surface Charge Boundary Condition Often Misused in CO2 Reduction Models

Miniaturised, Wireless and Distributed Neural Interface Toward Cortical Visual Prosthesis

High-speed turbocompressors for natural fluid heat-pumps: from integrated design to digital-twin

Evaluating, Exploiting, and Hiding Power Side-Channel Leakage of Remote FPGAs

Estimating and Improving the Robustness of Attributions in Text

500 MHz high resolution proximity sensors with fully integrated digital counter

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Organic electrochemical transistors printed from degradable materials as disposable biochemical sensors

Operando Electrochemical Liquid Cell Scanning Transmission Electron Microscopy Investigation of the Growth and Evolution of the Mosaic Solid Electrolyte Interphase for Lithium-Ion Batteries

Seeding and Emergence of Composite Skyrmions in a van der Waals Magnet

High temperature electrolysis system and method

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Electrical spectroscopy of defect states and their hybridization in monolayer MoS2

How deep convolutional neural networks lose spatial information with training

Additive Fabrication of Microsupercapacitors

Green Cryptography and Other Optimisations