检索结果-南通市图书馆

Amorphous Iridium Oxide-Integrated Anode Electrodes with Ultrahigh Material Utilization for Hydrogen Production at Industrial Current Densities

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Nano-Micro Letters 2024年第10期16卷 225-239页

作者： Lei Ding Kui Li Weitian Wang Zhiqiang Xie Shule Yu Haoran Yu David ACullen Alex Keane Kathy Ayers Christopher BCapuano Fangyuan Liu Pu-Xian Gao Feng-Yuan Zhang Department of Mechanical Aerospace and Biomedical EngineeringUniversity of TennesseeKnoxvilleTN 37996USA oak ridge national Lab Center for Nanophase Materials SciencesOak RidgeTN 37831USA Nel Hydrogen WallingfordCT 06492USA Institute of materials Science University of ConnecticutStorrsCT 06269USA Department of materials Science and Engineering University of ConnecticutStorrsCT 06269USA

Herein,ionomer-free amorphous iridium oxide(IrO_(x))thin electrodes are first developed as highly active anodes for proton exchange membrane electrolyzer cells(PEMECs)via low-cost,environmentally friendly,and easily scalable electrodeposition at room *** with a Nafion 117 membrane,the IrO_(x)-integrated electrode with an ultralow loading of 0.075 mg cm^(-2)delivers a high cell efficiency of about 90%,achieving more than 96%catalyst savings and 42-fold higher catalyst utilization compared to commercial catalyst-coated membrane(2 mg cm^(-2)).Additionally,the IrO_(x)electrode demonstrates superior performance,higher catalyst utilization and significantly simplified fabrication with easy scalability compared with the most previously reported ***,the remarkable performance could be mainly due to the amorphous phase property,sufficient Ir^(3+)content,and rich surface hydroxide groups in ***,due to the high activity,high cell efficiency,an economical,greatly simplified and easily scalable fabrication process,and ultrahigh material utilization,the IrO_(x)electrode shows great potential to be applied in industry and accelerates the commercialization of PEMECs and renewable energy evolution.

关键词： Ionomer-free Amorphous IrOx electrodes Ultrahigh material utilization Scalable electrodeposition Hydrogen production

Synthesis,disorder and Ising anisotropy in a new spin liquid candidate PrMgAl_(11)O_(19)

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

materials Futures 2024年第3期3卷 148-156页

作者： Yantao Cao Huanpeng Bu Zhendong Fu Jinkui Zhao Jason S Gardner Zhongwen Ouyang Zhaoming Tian Zhiwei Li Hanjie Guo Key Lab for Magnetism and Magnetic materials of the Ministry of Education Lanzhou UniversityLanzhou 730000People’s Republic of China Songshan Lake materials laboratory DongguanGuangdong 523808People’s Republic of China Institute of Physics Chinese Academy of SciencesBeijing 100190People’s Republic of China materials Science and Technology Division Oak Ridge National LaboratoryOak RidgeTN 37831United States of America School of Physics and Wuhan national High Magnetic Field center Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China

Here we report the successful synthesis of large single crystals of triangular frustrated PrMgAl_(11)O_(19)using the optical floating zone *** crystal x-ray diffraction(XRD)measurements unveiled the presence of quenched disorder within the mirror plane,specifically~7%of Pr ions deviating from the ideal 2d site towards the 6h *** susceptibility measurements revealed an Ising anisotropy with the c-axis being the easy *** a large spin–spin interaction that develops below~10 K and considerable site disorder,the spins do not order or freeze down to at least 50 *** availability of large single crystals offers a distinct opportunity to investigate the exotic magnetic state on a triangular lattice with an easy axis out of the plane.

关键词： spin liquid disorder frustration triangular lattice Ising anisotropy

Multiphase cooperation for multilevel strain accommodation in a single-crystalline BiFeO3 thin film

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2024年第9期33卷 57-66页

作者： Wooseon Choi Bumsu Park Jaejin Hwang Gyeongtak Han Sang-Hyeok Yang Hyeon Jun Lee Sung Su Lee Ji Young Jo Albina Y.Borisevich Hu Young Jeong Sang Ho Oh Jaekwang Lee Young-Min Kim Department of Energy Science Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea Samsung Electronics Hwaseong 18448Republic of Korea Department of Physics Pusan National UniversityBusan 46241Republic of Korea LG Energy Solution Daejeon 34122Republic of Korea Department of materials Science and Engineering Kangwon National UniversityRepublic of Korea School of materials Science and Engineering Gwangju Institute of Science and Technology(GIST)Gwangju 61005Republic of Korea center for nanophase materials sciences Oak Ridge National LaboratoryTN 37831USA Graduate School of Semiconductor materials and Devices Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea Department of Energy Engineering KENTECH Institute for Energy Materials and DevicesKorea Institute of Energy Technology(KENTECH)Naju 58330Republic of Korea

The functionalities and diverse metastable phases of multiferroic BiFeO3(BFO)thin films depend on the misfit *** mixed phase-induced strain relaxation in multiphase BFO thin films is well known,it is unclear whether a singlecrystalline BFO thin film can accommodate misfit strain without the involvement of its ***,understanding the strain relaxation behavior is key to elucidating the lattice strain–property *** this study,a correlative strain analysis based on dark-field inline electron holography(DIH)and quantitative scanning transmission electron microscopy(STEM)was performed to reveal the structural mechanism for strain accommodation of a single-crystalline BFO thin *** nanoscale DIH strain analysis results indicated a random combination of multiple strain states that acted as a primary strain relief,forming irregularly strained *** STEM-based bond length measurement of the corresponding strained nanodomains revealed a unique strain accommodation behavior achieved by a statistical combination of multiple modes of distorted structures on the unit-cell *** globally integrated strain for each nanodomain was estimated to be close to􀀀1.5%,irrespective of the nanoscale strain states,which was consistent with the fully strained BFO film on the SrTiO3 *** functional theory calculations suggested that strain accommodation by the combination of metastable phases was energetically favored compared to single-phase-mediated *** discovery allows a comprehensive understanding of strain accommodation behavior in ferroelectric oxide films,such as BFO,with various low-symmetry polymorphs.

关键词： BiFeO_(3) scanning transmission electron microscopy electron holography multiferroic material strain mapping

Heterogeneities at multiple length scales in 2D layered materials:From localized defects and dopants to mesoscopic heterostructures

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Nano Research 2021年第6期14卷 1625-1649页

作者： Hui Cai Yiling Yu Yu-Chuan Lin Alexander A.Puretzky David B.Geohegan Kai Xiao center for nanophase materials sciences Oak Ridge National LaboratoryOak RidgeTN37831USA

Two-dimensional(2D)materials hold great promise for applications in optoelectronics,quantum information science,and energy conversion due to their remarkable properties imbued by their physical *** heterogeneities in their intrinsic structure are the major challenges limiting their synthesis and predictable properties,they also provide a pathway to controllably tune the properties and broaden the potential of 2D *** that can be tailored,including defects,dopants,strain,edges,and layer stackings offer transformative opportunities in heterogeneous 2D materials through the introduction of novel properties for technological *** article provides a review of recent progress in studying heterogeneities in 2D *** review uses examples from our work to develop a strategy to understand the heterogeneities across multiple length scales to link the effect of heterogeneity at the nanoscale with the macroscale properties of 2D *** describe specific types of heterogeneities and explore novel synthesis and processing methods for their controlled production with example of the potential impact and applications enabled by their intriguing ***,we provide a perspective on how to extend the range of tunable properties through further engineering the heterogeneities in 2D materials.

关键词： wo-dimensional(2D)materials heterogeneity defect strain grain boundary heterostructures phase

Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational materials 2022年第1期8卷 705-715页

作者： Ayana Ghosh Maxim Ziatdinov Ondrej Dyck Bobby G.Sumpter Sergei V.Kalinin center for nanophase materials sciences Oak Ridge National LaboratoryOak RidgeTN37831USA Computational sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTN37831USA

Recent advances in (scanning) transmission electron microscopy have enabled a routine generation of large volumes of high-veracity structural data on 2D and 3D materials,naturally offering the challenge of using these as starting inputs for atomistic *** this fashion,the theory will address experimentally emerging structures,as opposed to the full range of theoretically possible atomic ***,this challenge is highly nontrivial due to the extreme disparity between intrinsic timescales accessible to modern simulations and microscopy,as well as latencies of microscopy and simulations per *** this issue requires as a first step bridging the instrumental data flow and physics-based simulation environment,to enable the selection of regions of interest and exploring them using physical *** we report the development of the machine learning workflow that directly bridges the instrument data stream into Python-based molecular dynamics and density functional theory environments using pre-trained neural networks to convert imaging data to physical *** pathways to ensure structural stability and compensate for the observational biases universally present in the data are identified in the *** approach is used for a graphene system to reconstruct optimized geometry and simulate temperature-dependent dynamics including adsorption of Cr as an ad-atom and graphene healing ***,it is universal and can be used for other material systems.

关键词： dynamics bridges offering

Gaussian process analysis of electron energy loss spectroscopy data:multivariate reconstruction and kernel control

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational materials 2021年第1期7卷 1395-1404页

作者： Sergei V.Kalinin Andrew R.Lupini Rama K.Vasudevan Maxim Ziatdinov center for nanophase materials sciences Oak Ridge National LaboratoryOak RidgeTNUSA

Advances in hyperspectral imaging including electron energy loss spectroscopy bring forth the challenges of exploratory and physics-based analysis of multidimensional data *** multivariate linear unmixing methods generally explore similarities in the energy dimension,but ignore correlations in the spatial *** the same time,Gaussian process(GP)explicitly incorporate spatial correlations in the form of kernel functions but is computationally ***,we implement a GP method operating on the full spatial domain and reduced representations in the energy *** this multivariate GP,the information between the components is shared via a common spatial kernel structure,while allowing for variability in the relative noise magnitude or image *** explore the role of kernel constraints on the quality of the reconstruction,and suggest an approach for estimating them from the experimental *** further show that spatial information contained in higher-order components can be reconstructed and spatially localized.

关键词： domain kernel multivariate

Predicting synthesizable multi-functional edge reconstructions in two-dimensional transition metal dichalcogenides

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational materials 2020年第1期6卷 1314-1322页

作者： Guoxiang Hu Victor Fung Xiahan Sang Raymond R.Unocic P.Ganesh center for nanophase materials sciences Oak Ridge National LaboratoryOak RidgeTN 37831USA

Two-dimensional(2D)transition metal dichalcogenides(TMDCs)have attracted tremendous interest as functional materials due to their exceptionally diverse and tunable properties,especially in their *** addition to the conventional armchair and zigzag edges common to hexagonal 2D materials,more complex edge reconstructions can be realized through careful control over the synthesis ***,the whole family of synthesizable,reconstructed edges remains poorly ***,we develop a computational approach integrating ensemble-generation,force-relaxation,and electronic-structure calculations to systematically and efficiently discover additional reconstructed edges and screen their functional properties.

关键词： functional dimensional integrating

Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational materials 2021年第1期7卷 595-600页

作者： Mark P.Oxley Maxim Ziatdinov Ondrej Dyck Andrew R.Lupini Rama Vasudevan Sergei V.Kalinin center for nanophase materials sciences Oak Ridge National LaboratoryOak RidgeTNUSA Computational sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTNUSA

The 4D scanning transmission electron microscopy(STEM)method maps the structure and functionality of solids on the atomic scale,yielding information-rich data sets describing the interatomic electric and magnetic fields,structural and electronic order parameters,and other symmetry breaking distortions.A critical bottleneck is the dearth of analytical tools that can reduce complex 4D-STEM data to physically relevant *** propose an approach for the systematic exploration of 4D-STEM data using rotationally invariant variational autoencoders(rrVAE),which disentangle the general rotation of the object from other latent *** implementation of purely rotational rrVAE is discussed as are applications to simulated data for graphene and zincblende *** rrVAE analysis of experimental 4D-STEM data of defects in graphene is illustrated and compared to the classical center-of-mass *** approach is universal for probing symmetry-breaking phenomena in complex systems and can be implemented for a broad range of diffraction methods.

关键词： symmetry breaking rotational

Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational materials 2021年第1期7卷 909-916页

作者： Ayana Ghosh Bobby G.Sumpter Ondrej Dyck Sergei V.Kalinin Maxim Ziatdinov center for nanophase materials sciences Oak Ridge National LaboratoryOak RidgeTNUSA Computational sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTNUSA

Deep learning has emerged as a technique of choice for rapid feature extraction across imaging disciplines,allowing rapid conversion of the data streams to spatial or spatiotemporal arrays of features of ***,applications of deep learning in experimental domains are often limited by the out-of-distribution drift between the experiments,where the network trained for one set of imaging conditions becomes sub-optimal for different *** limitation is particularly stringent in the quest to have an automated experiment setting,where retraining or transfer learning becomes impractical due to the need for human intervention and associated *** we explore the reproducibility of deep learning for feature extraction in atom-resolved electron microscopy and introduce workflows based on ensemble learning and iterative training to greatly improve feature *** approach allows incorporating uncertainty quantification into the deep learning analysis and also enables rapid automated experimental workflows where retraining of the network to compensate for out-of-distribution drift due to subtle change in imaging conditions is substituted for human operator or programmatic selection of networks from the *** methodology can be further applied to machine learning workflows in other imaging areas including optical and chemical imaging.

关键词： learning experiment enable