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Recycled graphite for more sustainable lithium-ion batteries

Carbon Energy 2024年第5期6卷 15-24页

作者： Mayokun Olutogun Anna Vanderbruggen christoph frey Martin Rudolph Dominic Bresser Stefano Passerini Helmholtz Institute Ulm(HIU) Ulm Germany Karlsruhe Institute of Technology(KIT) KarlsruheGermany Helmholtz Zentrum Dresden-Rossendorf(HZDR) Helmholtz Institute Freiberg for Resource Technology(HIF)FreibergGermany ProGraphite GmbH UntergriesbachGermany Chemistry Department Sapienza University of RomeRomeItaly

The demand for lithium-ion batteries(LIBs)is driven largely by their use in electric vehicles,which is projected to increase dramatically in the *** great success,however,urgently calls for the efficient recycling of LIBs at the end of their ***,we describe a froth flotation-based process to recycle graphite—the predominant active material for the negative electrode—from spent LIBs and investigate its reuse in newly assembled *** has been found that the structure and morphology of the recycled graphite are essentially unchanged compared to pristine commercial anode-grade graphite,and despite some minor impurities from the recycling process,the recycled graphite provides a remarkable reversible specific capacity of more than 350 mAh g^(−1).Even more importantly,newly assembled graphite‖NMC532 cells show excellent cycling stability with a capacity retention of 80%after 1000 cycles,that is,comparable to the performance of reference full cells comprising pristine commercial graphite.

关键词： anode graphite lithium-ion battery recycling sustainability

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Artificial intelligence in pancreatic surgery:current applications

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Journal of Pancreatology 2023年第2期6卷 74-81页

作者： christoph Kuemmerli Fabian Rössler Caroline Berchtold Michael C.frey Alexander Studier-Fischer Amila Cizmic Jan Philipp Jonas Thilo Hackert Felix Nickel Philip C.Müller Department of Surgery Clarunis-University Centre for Gastrointestinal and Liver DiseasesBaselSwitzerland Swiss HPB and Transplantation Center Department of Surgery and TransplantationUniversity Hospital ZurichZurichSwitzerland Department for General Visceral and Vascular SurgeryKantonsspital BadenBadenSwitzerland Department of General Visceral and Transplantation SurgeryHeidelberg University HospitalHeidelbergGermany Department of General Visceral and Thoracic SurgeryUniversity Medical Center Hamburg-EppendorfHamburgGermany

Surgery plays a central role in the treatment of benign and malignant pancreatic *** intelligence(AI)is an important upcoming technology to support surgeons in pre-,intra-,and postoperative diagnosis,decision-making and training toward an optimized patient *** AI applications show a promising role in the evaluation of preoperative images for prediction of malignancy and resectability,intraoperative decision support,surgical training as well as a postoperative risk stratification to per-sonalize the management of *** scoping review summarizes the most up to date developments of AI in pancreatic surgery with the highest available level of evidence.

关键词： Artificial intelligence Image-guidance Machine learning Pancreas neoplasms Pancreatic ductal carcinoma Personalized medicine Surgery

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Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

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能源与人工智能(英文) 2021年第3期5卷 53-66页

作者： Meisam Booshehri Lukas Emele Simon Flügel Hannah Förster Johannes frey Ulrich frey Martin Glauer Janna Hastings Christian Hofmann Carsten Hoyer-Klick Ludwig Hülk Anna Kleinau Kevin Knosala Leander Kotzur Patrick Kuckertz Till Mossakowski christoph Muschner Fabian Neuhaus Michaja Pehl Martin Robinius Vera Sehn Mirjam Stappel Institute for Applied Ecology BerlinGermany Institute for Applied Informatics(InfAI)/Leipzig University Germany Department of Energy Systems Analysis Institute of Networked Energy SystemsGerman Aerospace Center(DLR)StuttgartGermany Faculty of Computer Science Otto-von-Guericke-Universität MagdeburgGermany Reiner Lemoine Institut BerlinGermany Institute of Techno-economic Systems Analysis(IEK-3) Forschungszentrum JülichJülichGermany Institute of Energy Economics and Rational Energy Use University of StuttgartGermany Potsdam Institute for Climate Impact Research PotsdamGermany Fraunhofer Institute for Energy Economics and Energy System Technology KasselGermany

Heterogeneous data,different definitions and incompatible models are a huge problem in many domains,with no exception for the field of energy systems ***,it is hard to re-use results,compare model results or couple models at *** provide a precisely defined vocabulary to build a common and shared conceptu-alisation of the energy ***,we present the Open Energy Ontology(OEO)developed for the domain of energy systems *** the OEO provides several benefits for the ***,it enables consistent annotation of large amounts of data from various research *** example is the Open Energy Platform(OEP).Adding such annotations makes data semantically searchable,exchangeable,re-usable and ***,computational model coupling becomes much *** advantages of using an ontology such as the OEO are demonstrated with three use cases:data representation,data annotation and interface *** also describe how the ontology can be used for linked open data(LOD).

关键词： Collaborative ontology development Linked open data Metadata annotation Energy systems analysis

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