PdNeuRAM: forming-free, multi-bit Pd/HfO<sub>2</sub> ReRAM for energy-efficient neuromorphic computing. [PDF]
Hua E +14 more
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Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad +6 more
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Computational blueprints for cell fate programming. [PDF]
Yang P.
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Performance evaluation of GPU-based parallel sorting algorithms. [PDF]
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GeoGraphNetworks: A comprehensive benchmark dataset for accurate and scalable graphical representations. [PDF]
Sharma H, Mooney P, Galván E.
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SymRefine: A symbolic regression approach for refining and compressing neural networks. [PDF]
Wei W, Lu Q, Huang C, Lee D, Luo J.
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Synergizing Chemical and AI Communities for Advancing Laboratories of the Future. [PDF]
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Strain-programmable liquid metal fibers for anti-interference electronic textiles. [PDF]
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2020 IEEE Frontiers in Education Conference (FIE), 2020This research full paper describes our experience in teaching parallel programming for students without previous knowledge of basic concepts of computing, comparing their levels of learning. The use of parallel software grew considerably in recent years due to the increasing availability of multi and many-core devices.
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