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-机器学习的最新研究结果已经发表。据新闻报道源于田纳西州橡树岭，由NewsRx记者报道，研究称，“逆材料”设计是一项极具挑战性的优化任务，部分原因是高度非线性的近似性能与成分之间的关系。数量方法有了显著改进由于高通量实验和计算热力学的进步。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Oak Ridge, Tennessee , by NewsRx correspondents, research stated, “Inverse materialdesign is an extr emely challenging optimization task made difficult by, in part, the highly nonli nearrelationship linking performance with composition. Quantitative approaches have improved significantlyowing to advances in high throughput experimentation and computational thermodynamics.”
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