Showing 121 - 140 results of 240 for search 'Advanced Simulation and Computing Program', query time: 0.14s Refine Results
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    Energy Optimization Strategy for Wind–Solar–Storage Systems with a Storage Battery Configuration by Yufeng Wang, Haining Ji, Runteng Luo, Bin Liu, Yongzi Wu

    Published 2025-05-01
    “…With the progressive advancement of the energy transition strategy, wind–solar energy complementary power generation has emerged as a pivotal component in the global transition towards a sustainable, low-carbon energy future. …”
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    SPACIER: on-demand polymer design with fully automated all-atom classical molecular dynamics integrated into machine learning pipelines by Shun Nanjo, Arifin, Hayato Maeda, Yoshihiro Hayashi, Kan Hatakeyama-Sato, Ryoji Himeno, Teruaki Hayakawa, Ryo Yoshida

    Published 2025-01-01
    “…However, the enormous computational costs and technical challenges of automating computer experiments for polymeric materials have limited the availability of open-source automated polymer design systems that integrate molecular simulations and machine learning. …”
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    Service function tree mapping of microservices on resource-constrained fog networks by Babar Shahzaad, Alistair Barros, Colin Fidge

    Published 2025-06-01
    “…This paper presents a Service Function Tree (SFT) mapping technique that optimizes microservice deployment within fog computing environments for IIoT applications. We employ a mixed-integer linear programming (MILP) formulation to optimize microservice placement by focusing on reducing latency and improving the efficiency of resource usage. …”
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    Optimization of Business English Teaching Based on the Integration of Interactive Virtual Reality Genetic Algorithm by Xiao Ma

    Published 2022-01-01
    “…The results of the simulation experiment indicate that the improved algorithm designed in this article can reduce the computational overhead of the meta-algorithm to a great extent, and the improvement strategy is designed based on the evaluation results of practical examples.…”
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    PyGAMD: Python graphics processing unit‐accelerated molecular dynamics software by Jialei Xu, Shenghong Guo, Miaolan Zhen, Zhuochen Yu, Youliang Zhu, Giuseppe Milano, Zhongyuan Lu

    Published 2025-06-01
    “…Machine learning force fields that are trained by DeePMD‐kit are supported by PyGAMD for conveniently implementing multi‐scale modeling and simulations. By designing an advanced framework of software, graphics processing unit‐acceleration achieved by the Numba library of Python and compute unified device architecture reaches a high computing efficiency.…”
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