Separation and Recycling Potential of Rare Earth Elements from Energy Systems: Feed and Economic Viability Review

Publications associées (29)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Real-time Personalized Monitoring of Neurological Disorders on Wearable Systems

Renato Zanetti

The terminology of neurological disorders encompasses a range of serious illnesses (e.g., epilepsy, Alzheimer's disease) leading to morbidity, disability, and stigma. Epilepsy alone affects over 50 million people worldwide, and these figures are rising as ...

EPFL2023

Recycling of Polymerase Chain Reaction (PCR) Kits

Francesco Stellacci, Yong Zhu, Weina Liu

Polymerase chain reaction (PCR) kits have been used as common diagnosing tools during the outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, with daily worldwide usage in the millions. It is well known that at the beginn ...

AMER CHEMICAL SOC2023

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Florent Evariste Forest, Yunhong Che

Predictive health assessment is of vital importance for smarter battery management to ensure optimal and safe operations and thus make the most use of battery life. This paper proposes a general framework for battery aging prognostics in order to provide t ...

Elsevier Sci Ltd2023

Zinc carboxylate optimization strategy for extending Al-air battery system's lifetime

Andreas Züttel, Thi Ha My Pham, Liping Zhong, Manhui Wei

Although Al-air batteries are expected to be the candidates for energy conversion systems in renewable energy market due to the higher energy density, richer reserves, and lighter mass of Al metal, the anode self-discharge is seen as a notorious issue that ...

ELSEVIER SCI LTD2023

A customized MOF-polymer composite for rapid gold extraction from water matrices

Wendy Lee Queen, Daniel Teav Sun, Shuliang Yang, Jun Li, Li Peng, Olga Syzgantseva

With the fast-growing accumulation of electronic waste and rising demand for rare metals, it is compelling to develop technologies that can promotionally recover targeted metals, like gold, from waste, a process referred to as urban mining. Thus, there is ...

AMER ASSOC ADVANCEMENT SCIENCE2023

Optimal Design Operation Strategies of a Hyperloop Transportation System

Denis Tudor

In the last decades, transportation demand growth has played a major role in the increase of global CO2 footprint. At the same time, a number of countries have scheduled measurable and substantial cutback of CO2 emissions by 2050. As the transportation sec ...

EPFL2023

Acetal-Stabilized Carbohydrates as Novel Platform Molecules for Renewable Polymer Production

Lorenz Perry Manker

To address the rising demand for plastics, it is essential to create new types of polymers that are both highly recyclable and emit minimal amounts of greenhouse gases. These plastics should be derived from readily available, renewable feedstocks. Such eff ...

EPFL2023

Ageing-aware battery discharge prediction with deep learning

Olga Fink, Luca Biggio

Electrochemical batteries are ubiquitous devices in our society. When employed in mission-critical applications, the ability to precisely predict their end-of-discharge under highly variable operating conditions is of paramount importance in order to suppo ...

ELSEVIER SCI LTD2023

Resource aware pricing for electric vehicle charging

Nils Gustav Nilsson

Electric vehicle charging facilities offer their capacity constrained electric charge and parking to users for a fee. As electric vehicle adoption grows, so too does the potential for excessive resource utilization. In this paper, we study how prices set b ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Page 3 sur 3

Real-time Personalized Monitoring of Neurological Disorders on Wearable Systems

Renato Zanetti

EPFL2023

Recycling of Polymerase Chain Reaction (PCR) Kits

Francesco Stellacci, Yong Zhu, Weina Liu

AMER CHEMICAL SOC2023

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Florent Evariste Forest, Yunhong Che

Elsevier Sci Ltd2023