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Di Liu University of Stuttgart

Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. Dataset, (2024)Related to: Di Liu, Florian Kaiser, Vladislav Bushmakin, Erik Hesselmeier, Timo Steidl, Takeshi Ohshima, Nguyen Tien Son, Jawad Ul-Hassan, Öney O. Soykal, Jörg Wrachtrup (2023). The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics. arXiv preprint. arXiv: 2307.13648.
 

Other publications of authors with the same name

Practical issues and development of underwater 3D laser scanners., , , and . ETFA, page 1-8. IEEE, (2010)A Small-Footprint Accelerator for Large-Scale Neural Networks., , , , , , , , , and 2 other author(s). ACM Trans. Comput. Syst., 33 (2): 6:1-6:27 (2015)Building a Flexible and Scalable Virtual Hardware Data Plane., , , , , , , and . Networking (1), volume 7289 of Lecture Notes in Computer Science, page 205-216. Springer, (2012)Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation., , , , , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)A deep learning model to identify gene expression level using cobinding transcription factor signals., , , , , , and . Briefings Bioinform., (2022)VLSI friendly fast CU/PU mode decision for HEVC intra encoding: Leveraging convolution neural network., , , , and . ICIP, page 1285-1289. IEEE, (2015)Parallelizing Convolutional Neural Networks on Intel $$^$$ Many Integrated Core Architecture., , , , and . ARCS, volume 9017 of Lecture Notes in Computer Science, page 71-82. Springer, (2015)E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System., , , , and . DAC, page 182. ACM, (2019)The FlowAdapter: enable flexible multi-table processing on legacy hardware., , , , , and . HotSDN, page 85-90. ACM, (2013)DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection., , , , , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)