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Comprehensive report on China's Long-Term Low-Carbon Development Strategies and Pathways 被引量:7
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作者 Jiankun He Zheng Li +14 位作者 Xiliang Zhang Hailin Wang Wenjuan Dong Shiyan Chang Xunmin Ou Siyue Guo zhiyu tian Alun Gu Fei Teng Xiu Yang Siyuan Chen Mingtao Yao Zhiyi Yuan Li Zhou Xiaofan Zhao 《Chinese Journal of Population,Resources and Environment》 2020年第4期263-295,共33页
1.Introduction 2020 is an unusual year in which the COVID-19 pandemic has raged through the globe,infecting tens of millions of people and killing hundreds of thousands.The pandemic has not only wreaked havoc on publi... 1.Introduction 2020 is an unusual year in which the COVID-19 pandemic has raged through the globe,infecting tens of millions of people and killing hundreds of thousands.The pandemic has not only wreaked havoc on public health systems,economic activities,and people's lives,but also has greatly affected and will continue to reshape the world's political,economic,and trade patterns. 展开更多
关键词 hundreds CONTINUE ECONOMIC
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基于深度学习的超高速碰撞碎片云模拟 被引量:2
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作者 文永 张浩 +3 位作者 李毅 褚新坤 田志宇 张庆 《固体力学学报》 CAS CSCD 北大核心 2020年第5期455-469,共15页
数据驱动的模型已经被广泛研究,并成功应用到了计算力学.基于深度学习技术,提出一种新的采用数据驱动的碎片云生成模型.此模型可以学习SPH数值模拟结果,然后在多种控制条件下快速生成碎片云.在模型训练前的数据预处理阶段,对SPH模拟结... 数据驱动的模型已经被广泛研究,并成功应用到了计算力学.基于深度学习技术,提出一种新的采用数据驱动的碎片云生成模型.此模型可以学习SPH数值模拟结果,然后在多种控制条件下快速生成碎片云.在模型训练前的数据预处理阶段,对SPH模拟结果进行空间网格划分和质量聚合,实现了改善数据分布规律、加速模型训练和提升模型泛化性的目的.以高速靶球撞击薄壁圆筒后的碎片云质量分布为例,模拟并测试了多种控制条件下深度学习模型计算结果的正确性和稳定性,以及计算速度的高效性.实验证明,深度学习模型可以从训练集学习碎片云的物理规律,然后在训练集控制参数范围内进行良好的推理及插值;并且可以在训练数据集控制参数范围外,进行小范围推理预测;同时深度学习模型的计算速度远快于SPH方法.通过深度学习方法建立碎片云模型,可能是一种在空间飞行器防护结构原型设计阶段,实现碎片云实时生成的潜在方案. 展开更多
关键词 碎片云 条件变分自编码器 深度学习 人工智能 卷积神经网络 数据驱动
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Towards carbon neutrality:A study on China's long-term low-carbon transition pathways and strategies 被引量:10
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作者 Jiankun He Zheng Li +18 位作者 Xiliang Zhang Hailin Wang Wenjuan Dong Ershun Du Shiyan Chang Xunmin Ou Siyue Guo zhiyu tian Alun Gu Fei Teng Bin Hu Xiu Yang Siyuan Chen Mingtao Yao Zhiyi Yuan Li Zhou Xiaofan Zhao Ying Li Danwei Zhang 《Environmental Science and Ecotechnology》 SCIE 2022年第1期1-9,共9页
As the world's biggest carbon dioxide(CO_(2))emitter and the largest developing country,China faces daunting challenges to peak its emissions before 2030 and achieve carbon neutrality within 40 years.This study fu... As the world's biggest carbon dioxide(CO_(2))emitter and the largest developing country,China faces daunting challenges to peak its emissions before 2030 and achieve carbon neutrality within 40 years.This study fully considered the carbon-neutrality goal and the temperature rise constraints required by the Paris Agreement,by developing six long-term development scenarios,and conducting a quantitative evaluation on the carbon emissions pathways,energy transformation,technology,policy and investment demand for each scenario.This study combined both bottom-up and top-down methodologies,including simulations and analyses of energy consumption of end-use and power sectors(bottom-up),as well as scenario analysis,investment demand and technology evaluation at the macro level(top-down).This study demonstrates that achieving carbon neutrality before 2060 translates to significant efforts and overwhelming challenges for China.To comply with the target,a high rate of an average annual reduction of CO_(2) emissions by 9.3%from 2030 to 2050 is a necessity,which requires a huge investment demand.For example,in the 1.5℃ scenario,an investment in energy infrastructure alone equivalent to 2.6%of that year's GDP will be necessary.The technological pathway towards carbon neutrality will rely highly on both conventional emission reduction technologies and breakthrough technologies.China needs to balance a long-term development strategy of lower greenhouse gas emissions that meets both the Paris Agreement and the long-term goals for domestic economic and social development,with a phased implementation for both its five-year and long-term plans. 展开更多
关键词 China Carbon neutrality The paris agreement Transition pathway Strategy
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Detection of laser-induced optical defects based on image segmentation 被引量:4
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作者 Xinkun Chu Hao Zhang +4 位作者 zhiyu tian Qing Zhang Fang Wang Jing Chen Yuanchao Geng 《High Power Laser Science and Engineering》 SCIE CAS CSCD 2019年第4期56-61,共6页
A number of vision-based methods for detecting laser-induced defects on optical components have been implemented to replace the time-consuming manual inspection.While deep-learning-based methods have achieved state-of... A number of vision-based methods for detecting laser-induced defects on optical components have been implemented to replace the time-consuming manual inspection.While deep-learning-based methods have achieved state-of-the-art performances in many visual recognition tasks,their success often hinges on the availability of a large number of labeled training sets.In this paper,we propose a surface defect detection method based on image segmentation with a U-shaped convolutional network(U-Net).The designed network was trained on paired sets of online and offline images of optics from a large laser facility.We show in our experimental evaluation that our approach can accurately locate laser-induced defects on the optics in real time.The main advantage of the proposed method is that the network can be trained end to end on small samples,without the requirement for manual labeling or manual feature extraction.The approach can be applied to the daily inspection and maintenance of optical components in large laser facilities. 展开更多
关键词 deep learning defect detection laser-induced defects
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Moduli Space of Quasi-Polarized K3 Surfaces of Degree 6 and 8
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作者 zhiyuan LI zhiyu tian 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2021年第3期427-450,共24页
In this paper,the authors study the moduli space of quasi-polarized complex K3 surfaces of degree 6 and 8 via geometric invariant theory.The general members in such moduli spaces are complete intersections in projecti... In this paper,the authors study the moduli space of quasi-polarized complex K3 surfaces of degree 6 and 8 via geometric invariant theory.The general members in such moduli spaces are complete intersections in projective spaces and they have natural GIT constructions for the corresponding moduli spaces and they show that the K3 surfaces with at worst ADE singularities are GIT stable.They give a concrete description of boundary of the compactification of the degree 6 case via the Hilbert-Mumford criterion.They compute the Picard group via Noether-Lefschetz theory and discuss the connection to the Looijenga’s compactifications from arithmetic perspective.One of the main ingredients is the study of the projective models of K3 surfaces in terms of Noether-Lefschetz divisors. 展开更多
关键词 K3 surfaces GIT Noether-Lefschetz divisor Looijenga compactification
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