Structural Screening and Design of Platinum Nanosamples for Oxygen Reduction

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Diazo compounds of the type R1R2CN2 are widely used in organometallic catalysis and synthetic chemistry. Stable diazoolefins, R1R2C=CN2, have only been isolated recently. Diazoolefins undergo cycloaddition reactions and tend to be carbon donors when used a ...

Electrochemical CO2-to-ethanol conversion faces challenges due to competing ethylene formation. We demonstrate a strategy steering selectivity toward ethanol by modifying copper nanowires with N,N,N′,N′-tetramethylethylenediamine (TMe). The TMe-Cu catalyst ...

Hydrogels have emerged as promising materials for bioelectronic interfaces due to their tissue-like properties and high-water content. However, conventional hydrogels often suffer from poor electrical conductivity and mechanical stability, limiting their p ...

Recent advances in coupling light-harvesting microorganisms with electronic components have led to a new generation of biohybrid devices based on microbial photocatalysts. These devices are limited by the poorly conductive interface between phototrophs and ...

High-entropy alloys (HEAs), containing several metallic elements in near-equimolar proportions, have long been of interest for their unique mechanical properties. More recently, they have emerged as a promising platform for the development of novel heterog ...

This book has been designed for instructors in higher education or adult training who wish to develop a new course or revise an existing one. It adopts a practical, visual, and modular approach based on the principle of constructive alignment. At its heart ...

Two design studios were successively taught in two schools of architecture: one at the Harvard Graduate School of Design (GSD) and the other at the Swiss Federal Institute of Technology in Lausanne (EPFL) in Lausanne, Switzerland, based on "A Global Morato ...

In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation in the network, arguing that the resulting posterior can be sampled using an ...

As current chemo- and photodynamic cancer therapies are associated with severe side effects due to a lack of specificity and to systemic toxicity, innovative solutions in terms of targeting and controlled functionality are in high demand. Here, we present ...

The recent geopolitical conflicts in Europe have underscored the vulnerability of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy systems ensuring sustainable energy supply in the future, the ...

The global construction industry contributes to 37% of carbon emissions associated to both building operations and construction. To help achieve the net-zero targets set by 2050, it is mandated to achieve a 50% reduction in carbon emissions by 2030. As we ...

Silver is one of the most studied electrode materials for the electrochemical reduction of carbon dioxide into carbon monoxide, a product with many industrial applications. There is a growing number of reports in which silver is implemented in gas diffusio ...

This article reports on the current state of the OBI DICT project, a bilingual e-dictionary of oracle-bone inscriptions (OBI), incorporating artificial intelligence (AI) image recognition technology. It first provides a brief overview of the development of ...

The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...

The design and discovery of potential novel materials is critical for the advancement of climate change mitigation technologies. In this respect, metal-organic frameworks (MOFs) have received considerable attention over the last two decades. The combinatio ...

Surrogate-based optimization is widely used for aerodynamic shape optimization, and its effectiveness depends on representative sampling of the design space. However, traditional sampling methods are hard-pressed to effectively sample high-dimensional desi ...

While momentum-based accelerated variants of stochastic gradient descent (SGD) are widely used when training machine learning models, there is little theoretical understanding on the generalization error of such methods. In this work, we first show that th ...

The reported rate of the occurrence of unilateral spatial neglect (USN) is highly variable likely due to the lack of validity and low sensitivity of classical tools used to assess it. Virtual reality (VR) assessments try to overcome these limitations by pr ...

In aqueous solutions, a charged surface causes the redistribution of nearby ions. The ion layers formed are known as the electrical double layer (EDL), and are widespread in many systems involving electrochemistry, colloidal science, biomedicine, and energ ...

The paper details the process of developing the ITER Plasma Control System (PCS), that is, how to design and deploy it systematically, in the most efficient and effective manner. The integrated nature of the ITER PCS, with its multitude of coupled control ...

Structural Screening and Design of Platinum Nanosamples for Oxygen Reduction

Chattez avec Graph Search

Exploring the reactivity of N-heterocyclic diazoolefins

Amine modification enables selective CO2 electroreduction to ethanol via coupling of carbon-containing intermediates

Direct laser writing of electronically conductive microstructures within soft hydrogel substrates

In vivo polydopamine coating of Rhodobacter sphaeroides for enhanced electron transfer

Surface segregation in high-entropy alloys from alchemical machine learning

Course Design - A Visual and Modular Approach

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Gibbs sampling the posterior of neural networks

FAP Targeting of Photosensitizer-Loaded Polymersomes for Increased Light-Activated Cell Killing

Identification of typical district configurations: A two-step global sensitivity analysis framework

An explorative method to support design decisions based on carbon constraints and daylight sufficiency needs

Rate-Determining Step for Electrochemical Reduction of Carbon Dioxide into Carbon Monoxide at Silver Electrodes

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

A diversity-driven discovery of potential nanoporous materials for energy-related applications

DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization

On the Generalization of Stochastic Gradient Descent with Momentum

An immersive virtual reality tool for assessing left and right unilateral spatial neglect

Second harmonic scattering of nanoparticles: A journey into the electrical double layer

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach