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Symmetric silicon microring resonator optical crossbar array for accelerated inference and training in deep learning

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Photonics Research 2024年第8期12卷 1681-1688页

作者： RUI TANG SHUHEI OHNO KEN TANIZAWA KAZUHIRO IKEDA MAKOTO OKANO KASIDIT TOPRASERTPONG shinichi takagi MITSURU TAKENAKA Department of Electrical Engineering and Information Systems The University of TokyoTokyo 113-8656Japan Quantum ICT Research Institute Tamagawa UniversityTokyo 194-8610Japan National Institute of Advanced Industrial Science and Technology Ibaraki 305-8568Japan

Photonic integrated circuits are emerging as a promising platform for accelerating matrix multiplications in deep learning,leveraging the inherent parallel nature of *** various schemes have been proposed and demonstrated to realize such photonic matrix accelerators,the in situ training of artificial neural networks using photonic accelerators remains challenging due to the difficulty of direct on-chip backpropagation on a photonic *** this work,we propose a silicon microring resonator(MRR)optical crossbar array with a symmetric structure that allows for simple on-chip backpropagation,potentially enabling the acceleration of both the inference and training phases of deep *** demonstrate a 4×4 circuit on a Si-on-insulator platform and use it to perform inference tasks of a simple neural network for classifying iris flowers,achieving a classification accuracy of 93.3%.Subsequently,we train the neural network using simulated on-chip backpropagation and achieve an accuracy of 91.1%in the same inference task after ***,we simulate a convolutional neural network for handwritten digit recognition,using a 9×9 MRR crossbar array to perform the convolution *** work contributes to the realization of compact and energy-efficient photonic accelerators for deep learning.

关键词： resonator neural matrix

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High-Order Low-Dissipation Shock-Resolving TENO-THINC Schemes for Hyperbolic Conservation Laws

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Communications in Computational Physics 2023年第9期34卷 1043-1078页

作者： shinichi takagi Hiro Wakimura Lin Fu Feng Xiao Department of Mechanical Engineering Tokyo Institute of Technology2-12-1 Ookayama Meguro-kuTokyo152-8550Japan Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina Department of Mathematics The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute FutianShenzhenChina Shenzhen Research Institute The Hong Kong University of Science and TechnologyShenzhenChina

While the recently proposed TENO(targeted essentially non-oscillatory)schemes[Fu et al.,Journal of Computational Physics 305(2016):333-359]exhibit better performance than the classical WENO(weighted essentially non-oscillatory)schemes with the same accuracy order,there is still a room for further improvement,e.g.,the physical discontinuities may be significantly smeared by the excessive numerical dissipation due to the enforcement of the ENO property after a long-time *** recently,a new fifth-order TENO5-THINC scheme is proposed by coupling the TENO5 scheme with a non-polynomial THINC(tangent of hyperbola for interface capturing)scheme based on a parameter-free discontinuity *** novelty originates from the fact that the new strategy locates the discontinuities accurately and deploys the jump-like THINC reconstruction scheme for resolving the discontinuities with a sub-cell resolution,instead of enforcing the ENO *** new scheme successfully leverages the excellent wave-resolution property of standard TENO schemes for smooth and under-resolved continuous scales and the discontinuity-resolving capability of THINC for reconstructing genuine *** this work,we further develop the low-dissipation discontinuity-resolving very-high-order TENO-THINC reconstruction schemes for hyperbolic conservation laws by proposing tailored coupling *** loss of generality,the six-and eight-point TENO-THINC schemes are developed,and the explicit formulas are given as well as the built-in *** on a set of critical benchmark simulations,the newly proposed schemes show ***,***,*** and ***/***.,34(2023),pp.1043-1078 significantly lower numerical dissipation when compared to the counterpart TENO schemes without sacrificing numerical *** presented numerical results represent the state-of-the-art in the literature and can serve as references for future algorithm development.

关键词： TENO THINC WENO high-order numerical schemes low-dissipation schemes compressible flows

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Mobility enhancement techniques for Ge and GeSn MOSFETs

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Journal of Semiconductors 2021年第2期42卷 20-28页

作者： Ran Cheng Zhuo Chen Sicong Yuan Mitsuru Takenaka shinichi takagi Genquan Han Rui Zhang School of Micro-Nano Electronics Zhejiang UniversityHangzhou 310058China State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology School of MicroelectronicsXidian UniversityXi’an 710071China School of Engineering Tokyo UniversityYayoi 2-11-16Tokyo 113-8656Japan

The performance enhancement of conventional Si MOSFETs through device scaling is becoming increasingly *** application of high mobility channel materials is one of the most promising solutions to overcome the *** Ge and GeSn channels attract a lot of interest as the alternative channel materials,not only because of the high carrier mobility but also the superior compatibility with typical Si CMOS *** this paper,the recent progress of high mobility Ge and GeSn MOSFETs has been investigated,providing feasible approaches to improve the performance of Ge and GeSn devices for future CMOS technologies.

关键词： germanium germanium-tin MOSFET mobility

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Neural regeneration by regionally induced stem cells within poststroke brains: Novel therapy perspectives for stroke patients

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World Journal of Stem Cells 2019年第8期11卷 452-463页

作者： Takayuki Nakagomi Toshinori takagi Mikiya Beppu shinichi Yoshimura Tomohiro Matsuyama Institute for Advanced Medical Sciences Hyogo College of Medicine Nishinomiya Hyogo 663-8501 Japan Department of Therapeutic Progress in Brain Diseases Hyogo College of Medicine Nishinomiya Hyogo 663-8501 Japan Department of Neurosurgery Hyogo College of Medicine Nishinomiya Hyogo 663-8501 Japan

Ischemic stroke is a critical disease which causes serious neurological functional loss such as paresis. Hope for novel therapies is based on the increasing evidence of the presence of stem cell populations in the central nervous system (CNS) and the development of stem-cell-based therapies for stroke patients. Although mesenchymal stem cells (MSCs) represented initially a promising cell source, only a few transplanted MSCs were present near the injured areas of the CNS. Thus, regional stem cells that are present and/or induced in the CNS may be ideal when considering a treatment following ischemic stroke. In this context, we have recently showed that injury/ischemia-induced neural stem/progenitor cells (iNSPCs) and injury/ischemia-induced multipotent stem cells (iSCs) are present within post-stroke human brains and post-stroke mouse brains. This indicates that iNSPCs/iSCs could be developed for clinical applications treating patients with stroke. The present study introduces the traits of mouse and human iNSPCs, with a focus on the future perspective for CNS regenerative therapies using novel iNSPCs/iSCs.

关键词： Ischemic stroke Stroke patients Central nervous system Neural stem/progenitor cells Multipotent stem cells Stem-cell-based therapies

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