摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据新闻报道NewsRx记者发源于德国达姆施塔特，研究称，“机器学习(ML)”技术已被广泛地用作解决各种工程问题的有效工具近年来，尤其对于微结构在成形材料建模中的挑战性任务。这个这项工作全面回顾了当前由ML辅助和数据驱动的这一领域的进展场，包括微观结构表征和重建、多尺度模拟、关联ONG工艺、组织和性能，以及组织优化和逆向设计。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Darmstadt, Germany, by NewsRx journalists, research stated, “Machine learning (ML)techniques have been widely employed as effective tools in addressing various engineering challe nges inrecent years, particularly for the challenging task of microstructure-in formed materials modeling. Thiswork provides a comprehensive review of the curr ent ML-assisted and data-driven advancements in thisfield, including microstruc ture characterization and reconstruction, multiscale simulation, correlations among process, microstructure, and properties, as well as microstructure optimizat ion and inverse design.”
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