74 research outputs found
2D fin field-effect transistors integrated with epitaxial high-k gate oxide
Precise integration of two-dimensional (2D) semiconductors and high-dielectric-constant (k) gate oxides into three-dimensional (3D) vertical-architecture arrays holds promise for developing ultrascaled transistors1–5, but has proved challenging. Here we report the epitaxial synthesis of vertically aligned arrays of 2D fin-oxide heterostructures, a new class of 3D architecture in which high-mobility 2D semiconductor fin Bi2O2Se and single-crystal high-k gate oxide Bi2SeO5 are epitaxially integrated. These 2D fin-oxide epitaxial heterostructures have atomically flat interfaces and ultrathin fin thickness down to one unit cell (1.2 nm), achieving wafer-scale, site-specific and high-density growth of mono-oriented arrays. The as-fabricated 2D fin field-effect transistors (FinFETs) based on Bi2O2Se/Bi2SeO5 epitaxial heterostructures exhibit high electron mobility (μ) up to 270 cm2 V−1 s−1, ultralow off-state current (IOFF) down to about 1 pA μm−1, high on/off current ratios (ION/IOFF) up to 108 and high on-state current (ION) up to 830 μA μm−1 at 400-nm channel length, which meet the low-power specifications projected by the International Roadmap for Devices and Systems (IRDS)6. The 2D fin-oxide epitaxial heterostructures open up new avenues for the further extension of Moore’s law. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.11Nsciescopu
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
We conducted an experiment during the review process of the 2023 International Conference on Machine Learning (ICML), asking authors with multiple submissions to rank their papers based on perceived quality. In total, we received 1,342 rankings, each from a different author, covering 2,592 submissions. In this paper, we present an empirical analysis of how author-provided rankings could be leveraged to improve peer review processes at machine learning conferences. We focus on the Isotonic Mechanism, which calibrates raw review scores using the author-provided rankings. Our analysis shows that these ranking-calibrated scores out-perform the raw review scores in estimating the ground truth “expected review scores” in terms of both squared and absolute error metrics. Furthermore, we propose several cautious, low-risk applications of the Isotonic Mechanism and author-provided rankings in peer review, including supporting senior area chairs in overseeing area chairs’ recommendations, assisting in the selection of paper awards, and guiding the recruitment of emergency reviewers
Open Innovation and Quality of the Highly-cited Patents : Evidence from the Listed Chinese Companies
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External Financing Costs and Technology Innovation Efficiency of R&D Activities —Evaluation of GEM Listed Companies in Shenzhen—
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An Analysis of the Evolution Process of Shenzhen into an Innovative City
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Reform and Opening-up, Marketing Competition and Industrial Policy : An Empirical Research on Productivity Change of Manufacturing Firms in Guangdong, China
拓殖大学博士(国際開発)2018doctoral thesi
A General and Effective Network Failure Ant Colony Algorithm Based on Network Fault Location Methods
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