Institution
Tsinghua University
Education•Beijing, Beijing, China•
About: Tsinghua University is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 129978 authors who have published 200506 publications receiving 4549561 citations. The organization is also known as: Tsinghua & THU.
Papers published on a yearly basis
Papers
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TL;DR: A comprehensive survey of NMF algorithms can be found in this paper, where the principles, basic models, properties, and algorithms along with its various modifications, extensions, and generalizations are summarized systematically.
Abstract: Nonnegative Matrix Factorization (NMF), a relatively novel paradigm for dimensionality reduction, has been in the ascendant since its inception. It incorporates the nonnegativity constraint and thus obtains the parts-based representation as well as enhancing the interpretability of the issue correspondingly. This survey paper mainly focuses on the theoretical research into NMF over the last 5 years, where the principles, basic models, properties, and algorithms of NMF along with its various modifications, extensions, and generalizations are summarized systematically. The existing NMF algorithms are divided into four categories: Basic NMF (BNMF), Constrained NMF (CNMF), Structured NMF (SNMF), and Generalized NMF (GNMF), upon which the design principles, characteristics, problems, relationships, and evolution of these algorithms are presented and analyzed comprehensively. Some related work not on NMF that NMF should learn from or has connections with is involved too. Moreover, some open issues remained to be solved are discussed. Several relevant application areas of NMF are also briefly described. This survey aims to construct an integrated, state-of-the-art framework for NMF concept, from which the follow-up research may benefit.
712 citations
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TL;DR: The structure correlates the protein environments around prosthetic groups with their unique midpoint redox potentials and provides a bona fide model for study of the mitochondrial respiratory system and human mitochondrial diseases related to mutations in this complex.
712 citations
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01 Aug 2019TL;DR: Robust model-based charging optimisation strategies are identified as key to enabling fast charging in all conditions, with a particular focus on techniques capable of achieving high speeds and good temperature homogeneities.
Abstract: In the recent years, lithium-ion batteries have become the battery technology of choice for portable devices, electric vehicles and grid storage. While increasing numbers of car manufacturers are introducing electrified models into their offering, range anxiety and the length of time required to recharge the batteries are still a common concern. The high currents needed to accelerate the charging process have been known to reduce energy efficiency and cause accelerated capacity and power fade. Fast charging is a multiscale problem, therefore insights from atomic to system level are required to understand and improve fast charging performance. The present paper reviews the literature on the physical phenomena that limit battery charging speeds, the degradation mechanisms that commonly result from charging at high currents, and the approaches that have been proposed to address these issues. Special attention is paid to low temperature charging. Alternative fast charging protocols are presented and critically assessed. Safety implications are explored, including the potential influence of fast charging on thermal runaway characteristics. Finally, knowledge gaps are identified and recommendations are made for the direction of future research. The need to develop reliable onboard methods to detect lithium plating and mechanical degradation is highlighted. Robust model-based charging optimisation strategies are identified as key to enabling fast charging in all conditions. Thermal management strategies to both cool batteries during charging and preheat them in cold weather are acknowledged as critical, with a particular focus on techniques capable of achieving high speeds and good temperature homogeneities.
712 citations
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TL;DR: A carbonized plain-weave silk fabric is fabricated into wearable and robust strain sensors, which can be stretched up to 500% and show high sensitivity in a wide strain range.
Abstract: A carbonized plain-weave silk fabric is fabricated into wearable and robust strain sensors, which can be stretched up to 500% and show high sensitivity in a wide strain range. This sensor can be assembled into wearable devices for detection of both large and subtle human activities, showing great potential for monitoring human motions and personal health.
711 citations
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TL;DR: In this paper, it was shown that MoTe2 is a type-II Weyl semimetal, hosting Weyl fermions that have no counterpart in high-energy physics.
Abstract: Observations of topological surface states provide strong evidence that MoTe2 is a type-II Weyl semimetal, hosting Weyl fermions that have no counterpart in high-energy physics.
711 citations
Authors
Showing all 131304 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Cui | 220 | 1015 | 199725 |
Yi Chen | 217 | 4342 | 293080 |
Jing Wang | 184 | 4046 | 202769 |
Joel Schwartz | 183 | 1149 | 109985 |
Xiaohui Fan | 183 | 878 | 168522 |
Jie Zhang | 178 | 4857 | 221720 |
Lei Jiang | 170 | 2244 | 135205 |
Yang Gao | 168 | 2047 | 146301 |
Qiang Zhang | 161 | 1137 | 100950 |
Wei Li | 158 | 1855 | 124748 |
Rui Zhang | 151 | 2625 | 107917 |
Zhenwei Yang | 150 | 956 | 109344 |
Philip S. Yu | 148 | 1914 | 107374 |
Hui-Ming Cheng | 147 | 880 | 111921 |
Yoshio Bando | 147 | 1234 | 80883 |