极限抗拉强度
材料科学
延展性(地球科学)
贝叶斯优化
固溶体
合金
产量(工程)
延伸率
冶金
格子(音乐)
主动学习(机器学习)
复合材料
拉伸试验
打滑(空气动力学)
位错
固溶强化
空格(标点符号)
贝叶斯概率
材料性能
作者
Zhixing Wang,Xiangyue Chen,Dongqing Zhang,Ge Ping Wu,Yan Ma,Xiaoqin Zeng,Ziyuan Rao,Chang Liu,Evan Ma
标识
DOI:10.1073/pnas.2530922123
摘要
alloy achieves a yield strength of 953 MPa and a large tensile ductility of 42%. The high strength arises from the substantial lattice distortion, as well as the ~1-nm-sized local chemical fluctuations (LCFs) inherent to the highly concentrated bcc solid solution. The ubiquitous LCFs also substantially promote dislocation multiplication and strain hardening, enabling a large tensile ductility. Our approach demonstrates ML's efficacy in accelerating the finding of high-performance alloys.
科研通智能强力驱动
Strongly Powered by AbleSci AI