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Zeng, Simei (author), Tang, Chenggang (author), Hong, H. (author), Yuan, Fang (author), Li, Yuning (author), Wang, Yuqiang (author), Kong, Lingbing (author), Sun, Jingye (author), Zhu, Mingqiang (author), Deng, Tao (author)
The high-temperature pressure sensors have wide applications in aerospace, petroleum, geothermal exploration, automotive electronics, and other fields. However, the traditional silicon-based pressure sensors are restricted to pressure measurement under 120~{\circ }\text{C} and cannot be satisfied to measure the pressure of various gases or...
journal article 2023
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Wang, H. (author)
The human brain is a natural high-performance computing systemwith outstanding properties, e.g., ultra-low energy consumption, highly parallel information processing, suitability for solving complex tasks, and robustness. As such, numerous attempts have been made to devise neuromorphic systems able to achieve brain-akin computation abilities,...
doctoral thesis 2021
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Wang, H. (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)
Designing and implementing artificial systems that can be interfaced with the human brain or that can provide computational ability akin to brain's processing information efficient style is crucial for understanding human brain fundamental operating principles and to unleashing the full potential of brain-inspired computing. As basic neural...
conference paper 2020
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Wang, H. (author), Cucu Laurenciu, N. (author), Jiang, Y. (author), Cotofana, S.D. (author)
Designing and implementing artificial neuromorphic systems, which can provide biocompatible interfacing, or the human brain akin ability to efficiently process information, is paramount to the understanding of the human brain complex functionality. Energy-efficient, low-area, and biocompatible artificial neurons are key ubiquitous components of...
conference paper 2020
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Jiang, Y. (author), Cucu Laurenciu, N. (author), Wang, H. (author), Cotofana, S.D. (author)
As CMOS scaling is reaching its limits, high power density and leakage, low reliability, and increasing IC production costs are prompting for developing new materials, devices, architectures, and computation paradigms. Additionally, temperature variations have a significant impact on devices and circuits reliability and performance. Graphene...
conference paper 2020
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Jiang, Y. (author), Cucu Laurenciu, N. (author), Wang, H. (author), Cotofana, S.D. (author)
As CMOS feature size is reaching atomic dimensions, unjustifiable static power, reliability, and economic implications are exacerbating, thereby prompting for conducting research on new materials, devices, and/or computation paradigms. Within this context, graphene nanoribbons (GNRs), owing to graphene's excellent electronic properties, may...
journal article 2019
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