Publications related to An enhanced-performance Al-air battery optimizing the alkaline electrolyte with a strong Lewis acid ZnCl2

Related publications (18)

A multi-modal nocturnal radiative cooling and solar-assisted heating system with model predictive control

Heating and cooling of buildings account for around 15% of all global energy consumption. In light of the ongoing energy transition, we aim to improve the efficiency of both in a European single-family house by using photovoltaic-thermal collectors with a ...

2025

Enhancing the Functionality of Layered Hybrid Perovskites

Ghewa Alsabeh

Halide perovskites have demonstrated remarkable efficiency in photovoltaics. However, their application is restricted by their limited operational stability. To address this, layered hybrid perovskites (LHPs) provided a more stable alternative. They incorp ...

EPFL2025

Scalable 2D Nanomaterial Inks and Precision Gravure Printing for Printed Electronics

Mohammad Jafarpour

Printed electronics offers a pathway to low-cost, flexible, and scalable device manufacturing by enabling direct patterning of functional materials on diverse substrates. However, current ink systems-typically based on silver nanoparticles or polymers-are ...

EPFL2025

Performance of energy piles foundation in hot-dominated climate: A case study in Dubai

Lyesse Laloui, Elena Ravera, Sofie Elaine ten Bosch

Energy piles represent an innovative technology that can help provide sustainable geothermal heating or cooling energy for thermal conditioning purposes. In hot-dominated climates, the interest is to inject heat in the ground and extract energy for space-c ...

Pergamon-Elsevier Science Ltd2024

Operando analysis of a solid oxide fuel cell by environmental transmission electron microscopy

Jan Van Herle, Aïcha Hessler-Wyser, Quentin Thomas Jeangros, Stefan Diethelm, Cédric Frantz

Correlating the microstructure of an energy conversion device to its performance is often a complex exercise, notably in solid oxide fuel cell research. Solid oxide fuel cells combine multiple materials and interfaces that evolve in time due to high operat ...

Nature Portfolio2023

Readiness evaluation of SOFC-MGT hybrid systems with carbon capture for distributed combined heat and power

Jan Van Herle, Jürg Alexander Schiffmann, Michele Gaffuri, Victoria Xu Hong He

The aggravation of climate change calls for the timely development and implementation of highly efficient, renewable, zero- or negative-emission energy solutions with high technological readiness and feasibility levels. Solid oxide fuel cells (SOFC) consti ...

Elsevier2023

Discovering Influencers in Opinion Formation Over Social Graphs

Ali H. Sayed, Mert Kayaalp, Valentina Shumovskaia

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Probabilistic seismic performance assessment of steel moment-resisting frames considering exposed column-base plate connections with ductile anchor rods

Biao Song

This paper presents a numerical study assessing the seismic performance of steel moment-resisting frames (SMRFs) designed with ductile exposed column-base plate (ECBP) connections employing yielding anchor rods. For their potential use as weak bases, the p ...

WILEY2023

Robust Analog Multisensory Array System for Lossy Capacitive Sensors Over Long Distances

Sandro Carrara, Amar Kapic

A robust capacitive multisensory readout system is presented in this article. The system consists of a few thousand lossy capacitive-based sensors that can be modeled as a parallel connection of sensor capacitor and undesirable leakage resistance. The real ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Revealing Morphology Evolution of Lithium Dendrites by Large-Scale Simulation Based on Machine Learning Force Field

Mouyi Weng

Solving the dendrite growth problem is critical for the development of lithium metal anode for high-capacity batteries. In this work, a machine learning force field model in combination with a self-consistent continuum solvation model is used to simulate t ...

WILEY-V C H VERLAG GMBH2022

Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation

Sokratis Anagnostopoulos

Offshore wind farm modelling has been an area of rapidly increasing interest over the last two decades, with numerous analytical as well as computational-based approaches developed, in an attempt to produce designs that improve wind farm efficiency in powe ...

IOP PUBLISHING LTD2022

Greenberg's Force Prediction for Vertical-Axis Wind Turbine Blades

David Yefim Bensason, Karen Ann J Mulleners, Sébastien Le Fouest

AMER INST AERONAUTICS ASTRONAUTICS2022

Defects in III-N LEDs: experimental identification and impact on electro-optical characteristics

Nicolas Grandjean, Jean-François Carlin, Camille Haller

III-N light-emitting-diodes (LEDs) are subject of intense investigations, thanks to their high efficiency and great reliability. The quality of the semiconductor material has a significant impact on the electro-optical performance of LEDs: for this reason, ...

SPIE-INT SOC OPTICAL ENGINEERING2022

Multi-planar geometry and latent image recovery from a single motion-blurred image

Subeesh Vasu

Existing works for depth estimation and image deblurring in the presence of depth-dependent blur work with the assumption of a multi-layered scene wherein each layer is modeled in the form of a fronto-parallel plane. In this work, we attempt to relax these ...

SPRINGER2022

Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?

Shaokai Ye

Large deep neural network (DNN) models pose the key challenge to energy efficiency due to the significantly higher energy consumption of off-chip DRAM accesses than arithmetic or SRAM operations. It motivates the intensive research on model compression wit ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

Hussein Fadl Hassan Hassan Osman

Loop closure detection helps simultaneous localization and mapping systems reduce map and state uncertainty via recognizing previously visited places along the path of a mobile robot. However, visual loop closure detection is susceptible to scenes with dyn ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning

Roland Logé, Hossein Ghasemi Tabasi, Rita Drissi Daoudi

This study investigates the use of a low cost microphone combined with state-of-the-art machine learning (ML) algorithms as online process monitoring to differentiate various materials and process regimes of Laser-Powder Bed Fusion (LPBF). Three processing ...

TAYLOR & FRANCIS LTD2022

Determining crack kinematics from imaged crack patterns

Katrin Beyer, Bryan German Pantoja Rosero, Amir Rezaie, Ketson Roberto Maximiano Dos Santos

Determining the relationship between the cause of damage and the subsequent structural behavior of infrastructure systems requires an accurate characterization of the propagation of cracks, which represents the evolution of the damage state. When no inform ...

2022