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Stoichiometric Ti3C2Tx Coating for Inhibiting Dendrite Growth in Anode-Free Lithium Metal Batteries

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Energy & Environmental Materials 2024年第4期7卷 153-162页

作者： Xiangrong Zeng Manmatha Mahato Woong Oh Hyunj.on Yoo Van Hiep Nguyen Saewoong Oh Geetha Valurouthu Soon-Ki j.ong Chi Won Ahn Yury Gogotsi Il-Kwon Oh National Creative Research Initiative for Functionally Antagonistic Nano-Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology (KAIST) Department of Materials Science & Engineering and A. J. Drexel Nanomaterials Institute Drexel University Department of Energy Engineering Soonchunhyang University National Nanofab Center (NNFC) Korea Advanced Institute of Science and Technology (KAIST)

Lithium metal batteries (LMBs) and anode-free LMBs (AFLMBs) present a solution to the need for batteries with a significantly superior theoretical energy ***,their adoption is hindered by low Coulombic efficiency (CE) and rapid capacity fading,primarily due to the formation of unstable solid electrolyte interphase (SEI) layer and Li dendrite growth as a result of uneven Li plating.

关键词： anode-free lithium metal batteries stoichiometric MXene solid electrolyte interphase surface terminations

Leveraging machine learning to generate a unified and complete building height dataset for Germany

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Energy and AI

Energy and AI 2024年第3期17卷 327-341页

作者： Kristina Dabrock Noah Pflugradt j.nn Michael Weinand Detlef Stolten Forschungszentrum j.lich GmbH Institute of Climate and Energy SystemsJülich Systems Analysis52425 JülichGermany RWTH Aachen University Chair for Fuel CellsFaculty of Mechanical Engineering52062 AachenGermany

Building geometry data is crucial for detailed, spatially-explicit analyses of the building stock in energy systems analysis and beyond. Despite the existence of diverse datasets and methods, a standardized and validated approach for creating a nation-wide unified and complete dataset of German building heights is not yet available. This study develops and validates such a methodology, combining different data sources for building footprints and heights and filling gaps in height data using an XGBoost machine learning algorithm. The XGBoost model achieves a mean absolute error of 1.78 m at the national level and between 1.52 m and 3.47 m at the federal state level. The goal is proving the applicability of the methodology at a large scale and creating a useful dataset. The resulting dataset is thoroughly evaluated on a building-by-building level and spatially resolved statistics on the quality of the dataset are reported. This detailed validation found that the building number and footprint area of German building stock is 90.31 % and 94.84 % correct, respectively, and the building height accuracy is 0.59 m at the national level. However, errors are not homogeneous across Germany and further research is needed into the impact of including additional datasets, especially for regions and building types with lower accuracies. This study proves that the chosen methodology is useful for generating a building height dataset and the workflow, with some modifications for regional data availability, can be transferred to other countries. The generated building dataset for Germany constitutes a valuable data basis for the research community in fields such as energy research, urban planning and building decarbonization policy development.

关键词： Machine learning XGBoost Building height Building footprint 3-D building data Geodata Spatial analysis

Regulating depletion region enables highly efficient and stable perovskite solar cells

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Science China Chemistry 2024年第9期67卷 2783-2784页

作者： Chun-Yun Wang Michael Saliba Institute for Photovoltaics(ipv) University of Stuttgart70569 StuttgartGermany IEK5-Photovoltaics Forschungszentrum Jülich52425 JülichGermany

Perovskite solar cells(PSCs)have made impressive strides in recent years with the power conversion efficiency(PCE)now exceeding 26%[1],which is comparable to established technologies such as ***,the ion migration in perovskites causes undesirable hysteresis and *** affects the long-term operational stability of PSCs,hampering a possible industrialization.

关键词： perovskite depletion exceeding

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Unsupervised learning of charge-discharge cycles from various lithium-ion battery cells to visualize dataset characteristics and to interpret model performance

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Energy and AI 2024年第3期17卷 397-405页

作者： Akihiro Yamashita Sascha Berg Egbert Figgemeier Helmholtz Institute Münster:Ionics in Energy Storage(IMD-4/HI MS) Forschungszentrum JülichJülichGermany Institute for Power Electronics and Electrical Drives(ISEA) RWTH Aachen UniversityAachenGermany j.lich Aachen Research Alliance JARA-EnergyGermany

Machine learning (ML) is a rapidly growing tool even in the lithium-ion battery (LIB) research field. To utilize this tool, more and more datasets have been published. However, applicability of a ML model to different information sources or various LIB cell types has not been well studied. In this paper, an unsupervised learning model called variational autoencoder (VAE) is evaluated with three datasets of charge-discharge cycles with different conditions. The model was first trained with a publicly available dataset of commercial cylindrical cells, and then evaluated with our private datasets of commercial pouch and hand-made coin cells. These cells used different chemistry and were tested with different cycle testers under different purposes, which induces various characteristics to each dataset. We report that researchers can recognise these characteristics with VAE to plan a proper data preprocessing. We also discuss about interpretability of a ML model.

关键词： Unsupervised learning Dimensionality reduction Inductive bias .Machine learning Variational autoencoder

Aerosol deposition technology and its applications in batteries

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Nano Materials Science 2024年第1期6卷 24-37页

作者： Xinyu Wang Ramon Alberto Paredes Camacho Xiaoyu Xu Yumei Wang Yi Qiang Hans Kungl Ruediger-AEichel Yunfeng Zhang Li Lu National University of Singapore(Chongqing)Research Institute Chongqing401123PR China National University of Singapore Singapore117576 Fundamental Electrochemistry(IEK-9) Institute of Energy and Climate ResearchForschungszentrum Jülich52425JülichGermany

Aerosol deposition(AD)method is a kind of additive manufacturing technology for fabricating dense films such as metals and ceramics at room *** resolves the challenge of integrating ceramic films onto temperaturesensitive substrates,including metals,glasses,and *** should be emphasized that the AD is a spray coating technology that uses powder without thermal assistance to generate films with high *** to the traditional sputter-based approach,the AD shows several advantages in efficiency,convenience,better interfacial bonding and so ***,it opens some possibilities to the field of batteries,especially all-solidstate batteries(ASSBs)and draws much attention not only for research but also for large scale *** purpose of this work is to provide a critical review on the science and technology of AD as well as its applications in the field of *** process,mechanism and effective parameters of AD,and recent developments in AD applications in the field of batteries will be systematically reviewed so that a trend for AD will be finally provided.

关键词： Aerosol deposition Room temperature impact consolidation Ceramic film All-solid-state battery Spray coating technology

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The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine

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Big Earth Data 2024年第1期8卷 33-57页

作者： Farzane Mohseni Amirhossein Ahrari j.n-Henrik Haunert Carsten Montzka Institute of Geodesy and Geoinformation University of BonnBonnGermany Water Energy and Environmental Engineering Research UnitUniversity of OuluOuluFinland Institute of Bio-and Geosciences:Agrosphere(IBG-3) Forschungszentrum Jülich GmbHJülichGermany

Due to the coarse scale of soil moisture products retrieved from passive microwave observations(SMPMW),several downscaling methods have been developed to enable regional scale ***,it can be challenging for users to access final data products and algorithms,as well as managing different data sources and formats,various data processing methods,and the complexity of the workflows from raw data to information ***,the Google Earth Engine(GEE),which as of late offers SMPMW,is used to implement a workflow for retrieving 1 km SM at a depth of 0-5 cm using MODIS optical/thermal measurements,the SM_(PMW)coarse scale product,and a random forest *** proposed method was implemented on the African continent to estimate weekly SM *** results of this study were evaluated against in-situ measurements of three validation ***,in comparison to the original SM_(PMW)product,which was limited by a spatial resolution of only 9 km,this method is able to estimate SM at 1 km spatial resolution with acceptable accuracy(an average correlation coefficient of 0.64 and a ubRMSD of 0.069 m^(3)/m^(3)).The results show that the proposed method in GEE provides a precise estimation of SM with a higher spatial resolution across the entire continent.

关键词： Soil moisture SMAP Google Earth Engine random forest regression MODIS

Reynolds-number scaling analysis on lift generation of a flapping and passive rotating wing with an inhomogeneous mass distribution

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Chinese j.urnal of Aeronautics 2024年第2期37卷 259-269页

作者： Suyang QIN Haotian HANG Yang XIANG Hong LIU j.C.Wu center for aerodynamics school of aeronautics and astronauticsshanghai jiao tong universityshanghai 200240china

Insects usually fly by passively rotating wings,which has been applied to the design of flapping-wing Micro-Air Vehicles(MAVs)to reduce mechanical *** this paper,a robotic passive rotating-wing model is designed to investigate wing kinematics and lift generation,which are measured by a high-speed camera and a force transducer,*** addition,flow fields are measured using the Particle Image Velocimetry(PIV).Experimental results demonstrate that passive rotating motion has a coordinative relationship with actively stroking *** the stroke amplitude or frequency increases,the rotating amplitude is *** characterize the active stroking motion,a driving Reynolds number Redrivingis defined,which varies from 68 to 366 in this *** the gravity center of the wing towards trailing ed ge induces the increase of additional torque M,which decreases the wing rotating amplitude and promotes the advance of wing *** find that the timing of wing rotation is gradually delayed and the mean lift coefficient C^(-)_(L)monotonously decreases as *** increasing the additional torque M,C^(-)_(L)is slightly improved and approaches to the lift coefficient of a real fruit fly at driving Re approximately equal to *** instantaneous lifts combined with the vortical structures further demonstrate that the lift generation associated with wing rotation is mainly attributed to the growth of the LeadingEdge Vortex(LEV)and the passive wake capture *** wake capture is influenced by LEV,reversal stroke motion and wing additional torque together,which can only maintain the lift at a high level for a considerable *** high-lift generation mechanisms of flapping and passive rotating flight could shed light on the simplified design of MAVs and the improvement of their aerodynamic performance.

关键词： Flapping flight Unsteady lift Passive rotation Vortex flow Leading-edge vortex

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Mechanistic insights toward identification and interaction of plant parasitic nematodes:A review

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Soil Ecology Letters 2024年第1期6卷 11-27页

作者： Bisma j.n Ali Haider Shah Mudasir Ahmad Bhat Arif Tasleem j.n Ishfaq Ahmad Wani Ali Asghar Shah Section of Microbiology Baba Ghulam Shah Badshah UniversityRajouriJ&K185234India Department of Biotechnology Baba Ghulam Shah Badshah University RajouriJ&K185234India Department of Botany Baba Ghulam Shah Badshah University RajouriJ&K185234India Department of Zoology School of Biosciences and BiotechnologyBaba Ghulam Shah Badshah University RajouriJ&K185234India

Nematode identification serves as an important param-eter to study their behaviour,importance and *** of classical morphometric based identifica-tion methods prove to be lacking due to insufficient knowledge on morphological variations among closely related *** approaches such as DNA and protein-based information,microarray,probing,sequence-based methods and others have been used to supplement morphology-based methods for nematode *** and certain protein-based nematode-associated molecular patterns(NAMPs),can be perceived by the host plants,and can initiate a signalling *** review primarily emphasizes on an updated account of different classical and modern tools used for the identification of *** we also summa-rize the mechanism of some important signalling pathways which are involved in the different plant nematode *** constitute most diverse and least studied group of soil inhabiting *** are ecologically and physiologically important,however,wide range of nematodes show harmful impact on the individuals that live within their *** parasitic nematodes(PPNs)are transparent,pseudocoelomate,free living or parasitic *** lack morphometric identification methods due to insufficient knowl-edge on morphological variations among closely related *** such,molecular approaches such as DNA and protein-based information,microarray,probing,sequence-based methods and others have been used to supplement morphology-based methods for their *** invade the defense response of different plant species,parasitic nematodes have evolved different molecular *** and certain protein-based nematode-associated molecular patterns(NAMPs),can be perceived by the host plants,and can initiate a signaling *** overcome the host confrontation and develop certain nematode feeding sites,some members can inj.ct effectors into

关键词： nematode identification plant nematode interaction DNA fingerprinting nematode-associated molecular patterns signaling path-ways

Opportunities for large language models and discourse in engineering

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Energy and AI

Energy and AI 2024年第3期17卷 136-142页

作者： j.n Göpfert j.nn M.Weinand Patrick Kuckertz Detlef Stolten Institute of Energy and Climate Research–Techno-economic Systems Analysis(IEK-3) Forschungszentrum Jülich GmbHJülich52425Germany Chair for Fuel Cells RWTH Aachen UniversityFaculty of Mechanical EngineeringAachen52062Germany

In recent years, large language models have achieved breakthroughs on a wide range of benchmarks in natural language processing and continue to increase in performance. Recently, the advances of large language models have raised interest outside the natural language processing community and could have a large impact on daily life. In this paper, we pose the question: How will large language models and other foundation models shape the future product development process? We provide the reader with an overview of the subj.ct by summarizing both recent advances in natural language processing and the use of information technology in the engineering design process. We argue that discourse should be regarded as the core of engineering design processes, and therefore should be represented in a digital artifact. On this basis, we describe how foundation models such as large language models could contribute to the design discourse by automating parts thereof that involve creativity and reasoning, and were previously reserved for humans. We describe how simulations, experiments, topology optimizations, and other process steps can be integrated into a machine-actionable, discourse-centric design process. As an example, we present a design discourse on the optimization of wind turbine blades. Finally, we outline the future research that will be necessary for the implementation of the conceptualized framework.

关键词： Product development process Conceptual design Design methodology Design generation Natural language processing Foundation models Multi-modal models