2016 - IEEE Fellow For contributions to the analysis and modeling of integrated circuits and systems
Peng Li mainly focuses on Electronic engineering, Electroacupuncture, Rostral ventrolateral medulla, Condensed matter physics and Internal medicine. Peng Li combines subjects such as Neuromorphic engineering and Electronic circuit with his study of Electronic engineering. Peng Li interconnects Volterra series and Nonlinear system in the investigation of issues within Electronic circuit.
His study in Rostral ventrolateral medulla is interdisciplinary in nature, drawing from both Neuroscience and Splanchnic nerves. The study incorporates disciplines such as Electrical resistivity and conductivity, Magnetization and Magnetoresistance in addition to Condensed matter physics. His Internal medicine study often links to related topics such as Endocrinology.
Peng Li mostly deals with Condensed matter physics, Electronic engineering, Magnetoresistance, Magnetization and Artificial intelligence. His studies in Condensed matter physics integrate themes in fields like Exchange bias and Electrical resistivity and conductivity. His research in Electronic engineering intersects with topics in Electronic circuit, Integrated circuit and Nonlinear system.
The various areas that Peng Li examines in his Magnetoresistance study include Semimetal and Sputter deposition. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition. His Spiking neural network research includes themes of Field-programmable gate array, Neuromorphic engineering and Backpropagation.
His primary areas of study are Condensed matter physics, Spiking neural network, Artificial intelligence, Spintronics and Artificial neural network. His Condensed matter physics study combines topics in areas such as Magnetization and Magnetoresistance. His Magnetization research is multidisciplinary, incorporating elements of Thin film and Spin-½.
Peng Li has included themes like Weyl semimetal and Semiconductor in his Magnetoresistance study. Peng Li has researched Spiking neural network in several fields, including Neuromorphic engineering, Backpropagation, Field-programmable gate array and Boosting. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition.
His main research concerns Artificial neural network, Magnetization, Spiking neural network, Artificial intelligence and Condensed matter physics. His biological study deals with issues like Algorithm, which deal with fields such as Control theory, Quantization and Synchronization. His Magnetization research is multidisciplinary, incorporating perspectives in Thin film and Spintronics, Ferromagnetism.
His Ferromagnetism research incorporates elements of Topological insulator and Magnetoresistance. As a member of one scientific family, he mostly works in the field of Spiking neural network, focusing on Backpropagation and, on occasion, Neuromorphic engineering and Pattern recognition. His study in the field of Spin-½ also crosses realms of Competition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A survey on deep learning for big data
Qingchen Zhang;Qingchen Zhang;Laurence T. Yang;Laurence T. Yang;Zhikui Chen;Peng Li.
Information Fusion (2018)
Highly Stable Aqueous Zinc-Ion Storage Using a Layered Calcium Vanadium Oxide Bronze Cathode.
Chuan Xia;Jing Guo;Peng Li;Xixiang Zhang.
Angewandte Chemie (2018)
Photothermal Conversion of CO2into CH4with H2over Group VIII Nanocatalysts: An Alternative Approach for Solar Fuel Production
Xianguang Meng;Tao Wang;Lequan Liu;Shuxin Ouyang.
Angewandte Chemie (2014)
Clustering to Find Exemplar Terms for Keyphrase Extraction
Zhiyuan Liu;Peng Li;Yabin Zheng;Maosong Sun.
empirical methods in natural language processing (2009)
Nonvolatile memristor memory: device characteristics and design implications
Yenpo Ho;Garng M. Huang;Peng Li.
international conference on computer aided design (2009)
Intercorrelated In-Plane and Out-of-Plane Ferroelectricity in Ultrathin Two-Dimensional Layered Semiconductor In2Se3.
Chaojie Cui;Wei-Jin Hu;Wei-Jin Hu;Xingxu Yan;Christopher Addiego.
Nano Letters (2018)
Dynamical Properties and Design Analysis for Nonvolatile Memristor Memories
Yenpo Ho;Garng M Huang;Peng Li.
IEEE Transactions on Circuits and Systems I-regular Papers (2011)
Nanometer-Thick Yttrium Iron Garnet Films With Extremely Low Damping
Houchen Chang;Peng Li;Wei Zhang;Tao Liu.
IEEE Magnetics Letters (2014)
Evidence for topological type-II Weyl semimetal WTe2.
Peng Li;Yan Wen;Xin He;Qiang Zhang.
Nature Communications (2017)
A Linear-Centric Modeling Approach to Harmonic Balance Analysis
Peng Li;L. Pileggi.
design, automation, and test in europe (2002)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: