Towards large-scale commercialization of fuel cells : robust design optimization considering dimensional uncertainties in the flow distributors

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Electronic devices play an irreplaceable role in our lives. With the tightening time to market, exploding demand for computing power, and continuous desire for smaller, faster, less energy-consuming, and lower-cost chips, computer-aided design for electron ...

A gas diffusion electrode (GDE) based CO2 electrolyzer shows enhanced CO2 transport to the catalyst surface, significantly increasing current density compared to traditional planar immersed electrodes. A two-dimensional model for the cathode side of a micr ...

The European Union's Green Deal aims for a 55% reduction in greenhouse gas emissions by 2030. To reach this goal, a massive integration of Renewable Energy Sources (RES) into the power grid is necessary. As RES become a large part of the electricity genera ...

We develop new tools to study landscapes in nonconvex optimization. Given one optimization problem, we pair it with another by smoothly parametrizing the domain. This is either for practical purposes (e.g., to use smooth optimization algorithms with good g ...

Healthcare sector buildings, particularly hospitals, significantly contribute to global energy consumption and greenhouse gas emissions. Hospitals require a substantial amount of steam, including the essential hygienic or " clean steam, " that is currently ...

The construction industry plays a major role in the high levels of greenhouse gas emissions, resource consumption, and waste generation observed nowadays. Key to the circular economy, structural component reuse arises as a promising solution to divert cons ...

It is of great interest to the energy community to understand how the mechano-physico-chemical phenomena that eventually lead to device degradation are related to the startup, operation, and shutdown phases. For electrocatalytic systems operating in liquid ...

In various robotics applications, the selection of function approximation methods greatly influences the feasibility and computational efficiency of algorithms. Tensor Networks (TNs), also referred to as tensor decomposition techniques, present a versatile ...

Microstructural evolution during in-pile irradiation, radiation damage effects and fission products behavior in UO2 nuclear fuel are key issues in understanding and for the modeling of the performance as well as safety characteristics of nuclear fuels in t ...

One of the goals of synthetic biology is the development of an artificial cell. Building an artificial cell from scratch will provide a deeper understanding of fundamental mechanisms and models in biology and promises to contribute towards building novel p ...

This study addresses the critical need for sustainable architectural designs within the context of climate change and the significant role the built environment plays in greenhouse gas emissions. The focus of this paper is on understanding the influence of ...

Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

The development of Ultra-High Performance Fibre-Reinforced Cementitious Composite (UHPFRC) has enabled the design of lightweight constructions. Although the greenhouse gas emissions of UHPFRC per volume are higher than that of conventional concr ...

In order to cope with the decarbonization challenge faced by many countries, fusion is one of the few alternatives to fossil fuels for the production of electricity. Two devices invented in the middle of the previous century have emerged as the most promis ...

This research aims to compare the greenhouse gas (GHG) emissions of new neighbourhood projects near the Rhône River in France and Switzerland. The study considers the influence of the river on energy demand and resilience to climate change of 12 project-ba ...

Towards large-scale commercialization of fuel cells : robust design optimization considering dimensional uncertainties in the flow distributors

Chattez avec Graph Search

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

Quantifying mass transport limitations in a microfluidic CO2 electrolyzer with a gas diffusion cathode

Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

The effect of smooth parametrizations on nonconvex optimization landscapes

Solar-assisted clean steam generator, a cleaner production approach for sustainable healthcare facilities

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Quasi-operando Transmission Electron Microscopy Diagnostics for Electrocatalytic Processes in Liquids

Robot Learning using Tensor Networks

Atomic level insight into irradiation effects in nuclear fuel materials

Advancing Cell-Free Synthetic Biology: From sustained PURE protein synthesis to an isothermal one-pot DNA replication system

Embodied Carbon Premium for Cantilevers

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Methods to assess the carbon footprint of structures involving UHPFRC elements

Global fluid simulations of plasma turbulence in stellarators

The Effect of Rivers on Energy Balance at the Neighborhood Scale. A comparative analysis of four Rhodanian sites in France and Switzerland