摘要
由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-一项关于机器学习的新研究现在已经可用。根据来自加拿大多伦多的新闻，NewsRx记者报道，研究人员称：“体心立方体(BCC)合金体系在室温下理论上比商用金属氢化物储存两倍的氢，而BCC高熵合金(HEAs)已经显示出达到理论极限的潜力。”这项研究的财政支持来自多伦多大学。我们的新闻记者从Toronto大学的研究中获得了一句话：“然而，在储氢过程中形成的氢化物的高热力学稳定性导致了较高的操作温度。本文采用多目标贝叶斯优化辅助密度泛函理论计算，发现了8种新的储氢材料。”包括VNbCrM oMn HEA，它可以在室温和常压下储存2.83重量%的氢，大大超过商用LaNi5H6和TiFeH2的1.38重量%和1.91重量%的氢容量。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news originating from Toronto, Canada, by NewsRx correspondents, r esearch stated, “Body-centered cubic (BCC) alloy systems can theoretically store double amounts of hydrogen compared with commercial metal hydrides at room temp erature, and BCC high entropy alloys (HEAs) have shown the potential to reach th is theoretic limit.” Financial support for this research came from University of Toronto. Our news journalists obtained a quote from the research from the University of T oronto, “However, the high thermodynamic stability of the dihydrides formed duri ng hydrogen storage results in high operating temperatures. Here, by employing m ulti-objective Bayesian optimization-aided density functional theory calculation s, we discovered 8 new HEA candidates for hydrogen storage, including the VNbCrM oMn HEA that can store 2.83 wt% hydrogen at room temperature and a tmospheric pressure, vastly exceeding the hydrogen capacities of 1.38 wt% and 1.91 wt% for commercial LaNi5H6 and TiFeH2.”
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