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公开(公告)号：US20240273256A1
公开(公告)日：2024-08-15
申请号：US18440137
申请日：2024-02-13
发明人： Jaekyu Lee , Sang Yub Lee , Inpyo Cho
摘要： Proposed is a digital twin system for digitizing technologies related to development of perovskite solar cells, performing design, test, simulation, and verification on materials, physical/chemical properties, and structures in a virtual environment, and designing and manufacturing an optimal perovskite solar cell. The digital twin system may provide a digital twin system for, when developing perovskite solar cells, identifying the efficiency of solar cells without directly conducting experiments, and through simulation of various environments using various learning/inference models, optimally designing perovskite-based solar cells. Also proposed is a digital twin system that is designed with a machine learning operations (MLOps) structure to have a configuration in which initially designed learning/inference models are updated to resemble the real environment as the learning/inference models undergo experiments, enabling testing in a more realistic virtual environment.
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2.发明公开公开(公告)号：US20240211296A1
公开(公告)日：2024-06-27
申请号：US18394242
申请日：2023-12-22
发明人： Jaekyu Lee , Sang Yub Lee , Inpyo Cho
CPC分类号： G06F9/45558 , G06F16/2365 , G06F16/258 , G06F2009/45591
摘要： Proposed is a container-based high availability big data framework system. The system may include an external server configured to provide structured data. The system may also include a data collection server constructed based on a docker container environment and configured to collect structured data by requesting the structured data from the external server at a predetermined time interval. The system may further include a monitoring server configured to execute a new docker image by generating a trigger when detecting the occurrence of an error while the structured data are collected.
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