相关期刊:《The Journal of China Universities of Posts and Telecommunications》《International Journal of Digital Earth》《IEEE/CAA Journal of Automatica Sinica》《Computers, Materials & Continua》更多>>
Machine learning(ML)algorithms are frequently used in landslide susceptibility modeling.Different data handling strategies may generate variations in landslide susceptibility modeling,even when using the same ML algor...
GitHub Actions, a popular CI/CD platform, introduces significant security challenges due to its integration with GitHub’s open ecosystem and its use of flexible workflow configurations. This paper presents Sher, a Py...
The workflows,potentials,and results presented here were obtained in the framework of the POTENTIALS collaboration and scientific network“Assessment of atomistic simulations”with funding from the German Science Foundation(DFG)(grant number 405602047);S.M.acknowledges funding by the Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)under the National Research Data Infrastructure-NFDI 38/1-project number 460247524;J.B.acknowledges funding by the DFG(project number 405479457 as part of PAK 965/1);A.K.acknowledges funding by the Studienstiftung des Deutschen Volkes(doctoral scholarship);N.L.and J.R.acknowledge funding by the Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)under grant number 405621137;K.A.acknowledges funding from the the DFG undergrant number 405621160;M.M.and R.D.acknowledge funding by the German Science Foundation(DFG),projects 405621081 and 405621217.R.D.and Y.L.acknowledge computation time by Center for Interface-Dominated High Performance Materials(ZGH)at Ruhr-Universität Bochum,Germany;J.J.and J.N.acknowledge funding by the DFG under grant number 405621217.M.P.and J.N.acknowledge funding from the DFG under grant number 405621160.
We present a comprehensive and user-friendly framework built upon the pyiron integrated development environment(IDE),enabling researchers to perform the entire Machine Learning Potential(MLP)development cycle consisti...
the Austrian Research Promotion Agency(FFG)under the Austrian Space Application Programme(ASAP)within the projects Sen2Cube.at(project no.:866016);SemantiX(project no.:878939);SIMS(project no.:885365).
The technological landscape for managing big Earth observation(EO)data ranges from global solutions on large cloud infrastructures with web-based access to self-hosted implementations.EO data cubes are a leading techn...
supported by the National Natural Science Foundation of China (62173251);the“Zhishan”Scholars Programs of Southeast University;the Fundamental Research Funds for the Central Universities;Shanghai Gaofeng&Gaoyuan Project for University Academic Program Development (22120210022)
Motion planning is critical to realize the autonomous operation of mobile robots.As the complexity and randomness of robot application scenarios increase,the planning capability of the classical hierarchical motion pl...
supported by National Natural Science Foundation of China(Grant Nos.62072467,62002019,62002383);National Key Research and Development Plan of China(Grant Nos.2021YFB1006200,2021YFB1006201);Beijing Institute of Technology Research Fund Program for Young Scholars.
Serverless computing,or function-as-a-service(FaaS),is an emerging service provision paradigm in cloud computing.Workflow,which comprises a set of tasks with datadependent on each other,is a typical application abstra...
This work was supported by:the Centre of Excellence“MaX-Materials Design at the Exascale”funded by European Union(H2020-EINFRA-2015-1,Grant No.676598,H2020-INFRAEDI-2018-1,Grant No.824143,HORIZON-EUROHPC-JU-2021-COE-1,Grant No.101093324);the European Union’s Horizon 2020 research and innovation program(BIG-MAP,Grant No.957189,also part of the BATTERY 2030+initiative,Grant No.957213);SUPER(Supercomputing Unified Platform-Emilia-Romagna)from Emilia-Romagna PORFESR 2014-2020 regional funds;the Italian national program PRIN20172017BZPKSZ“Excitonic insulator in two-dimensional long-range interacting systems”;the ICSC-Centro Nazionale di Ricerca in High Performance Computing,Big Data and Quantum Computing,funded by European Union-NextGenerationEU-PNRR,Missione 4 Componente 2 Investimento 1.4;the Swiss National Science Foundation(SNSF)Project Funding(Grant No.200021E_206190“FISH4DIET”);NCCR MARVEL,a National Centre of Competence in Research,funded by the Swiss National Science Foundation(Grant No.205602).Computational time on the Marconi100 and Galileo100 machines at CINECA was provided by the Italian ISCRA program.
The automation of ab initio simulations is essential in view of performing high-throughput(HT)computational screenings oriented to the discovery of novel materials with desired physical properties.In this work,we prop...
Supported by the National Natural Science Foundation of China(62102292);the Hubei Key Laboratory of Intelligent Robot(Wuhan Institute of Technology) of China(HBIRL202103,HBIRL202204);Science Foundation Research Project of Wuhan Institute of Technology of China(K202035);Graduate Innovative Fund of Wuhan Institute of Technology of China(CX2021265)。
With the rapid growth of the Industrial Internet of Things(IIoT), the Mobile Edge Computing(MEC) has coming widely used in many emerging scenarios. In MEC, each workflow task can be executed locally or offloaded to ed...
As the Internet of Things(IoT)and mobile devices have rapidly proliferated,their computationally intensive applications have developed into complex,concurrent IoT-based workflows involving multiple interdependent task...
the UKRI Interdisciplinary Circular Economy Centre for Mineral-based Construction Materials(EP/v011820/1).
The conventional building material palette has been proven limited in terms of adaptability to our current environmental challenges. Innovations in computational design and digital manufacturing have supported the bro...