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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Solute segregation induced stabilizing and strengthening effects on Ni ς3 [110](111) symmetrical tilt grain boundary in nickel-based superalloys 期刊论文 Journal of Materials Research and Technology, 2021, 卷号: 11, 页码: 1281-1289 作者:  Xue, Hongtao;  Luo, Yaqiao;  Tang, Fuling;  Yu, Xuefeng;  Lu, Xuefeng 收藏  |  浏览/下载：27/0  |  提交时间：2021/06/03 Alloying elements  Atoms  Binary alloys  Calculations  Cobalt alloys  Density functional theory  Fracture toughness  Nickel alloys  Segregation (metallography)  Superalloys  Thermodynamic stability  Titanium alloys  Transition metals  Zircaloy  First principles  Grain boundary segregation  Grain-boundaries  Grain-boundary energy  Ni ς3 [110](111) symmetrical tilt grain boundary  Nickel-based superalloys  Stabilizing effects  Strengthening effect  Tilt grain boundary  Work of separation   Analyzing the environmental impact of copper-based mixed waste recycling-a LCA case study in China 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2021, 卷号: 284, 页码: 12 作者:  Zhang, Wenbiao;  Li, Zehong;  Dong, Suocheng;  Qian, Peng;  Ye, Shufeng 收藏  |  浏览/下载：46/0  |  提交时间：2021/03/15 Copper recovery  Ecological efficiency  Life cycle assessment  Recycling industry  Metal recycling   Analyzing the environmental impact of copper-based mixed waste recycling-a LCA case study in China 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2021, 卷号: 284, 页码: 12 作者:  Zhang, Wenbiao;  Li, Zehong;  Dong, Suocheng;  Qian, Peng;  Ye, Shufeng 收藏  |  浏览/下载：31/0  |  提交时间：2021/03/29 Copper Recovery  Ecological Efficiency  Life Cycle Assessment  Recycling Industry  Metal Recycling   Research on optimization method of routing buffer linkage based on Q-learning 会议论文 Zhuhai, China, November 5-7, 2021 作者:  Han ZH(韩忠华);  Qi, Hongfeng;  Chang DL(常大亮);  Gong, Wei;  Dai, Shilong 收藏  |  浏览/下载：5/0  |  提交时间：2022/03/23 Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning 会议论文 Chongqing, China, March 12-14, 2021 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚) 收藏  |  浏览/下载：15/0  |  提交时间：2021/05/10 dynamic scheduling  deep reinforcement learning  PFSP  deep Q network (DQN)  intelligent scheduling  dynamic job arrival