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Puneeth Jakkula, Amitay Cohen, Bratislav Lukic, David Levi-Hevroni, Alexander Rack, Georg Ganzenmüller and Stefan Hiermaier
Studying the failure behaviour of engineered or natural materials under dynamic loading scenarios is of high importance, for example to investigate the fracture mechanics and to prevent catastrophic failures of constructions. When dynamic loading is coup...
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Jong Woo Kim, Marc Messerschmidt and William S. Graves
We present a supervised deep neural network model for phase retrieval of coherent X-ray imaging and evaluate the performance. A supervised deep-learning-based approach requires a large amount of pre-training datasets. In most proposed models, the various...
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Yupeng Cao, Zhimin Wang, Weidong Shi, Guoran Hua and Ming Qiu
To investigate the surface residual stress hole formation mechanism induced by laser shock peening (LSP) in an E690 high-strength steel sheet and to assign weights to the relevant causes; E690 steel samples were loaded using four laser beams with differe...
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José Luis Rivera-Armenta, Beatriz Adriana Salazar-Cruz, Ana Cecilia Espindola-Flores, Diana Samantha Villarreal-Lucio, Claudia María De León-Almazán and Jorge Estrada-Martinez
The use of plant waste, such ashusks, fibers, and bagasse, as additives in polymeric matrices generated great interest recently, since they became an option to be used as additives, reinforcers, or only as fillers. The pistachio is a seed for human consu...
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Xin Lin, Weihai Zhuo, Haikuan Liu and Tianwu Xie
Reducing radiation dose to patients without compromising imaging quality has been an important issue in the medical use of X-ray computed tomography (CT). In this study, based on the conceptual designs of different types of attenuation filters, the radia...
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