Search Results - "Go, Shao‐Xiang"
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Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations
Published in Advanced science (01-12-2022)“…There is an ever‐increasing demand for next‐generation devices that do not require passwords and are impervious to cloning. For traditional hardware security…”
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Understanding effect of distortions and vacancies in wurtzite AlScN ferroelectric memory materials: Vacancy-induced multiple defect state types and relaxation dependence in transition energy levels
Published in AIP advances (01-12-2022)“…Energy-efficient compact alternatives to fully digital computing strategies could be achieved by implementations of artificial neural networks (ANNs) that…”
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A Phase‐Change Memristive Reinforcement Learning for Rapidly Outperforming Champion Street‐Fighter Players
Published in Advanced intelligent systems (01-11-2023)“…The interactions with humans, and simultaneously, making of real‐time decisions in physical systems, are involved in many applications of artificial…”
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Continual Learning Electrical Conduction in Resistive‐Switching‐Memory Materials
Published in Advanced theory and simulations (01-08-2022)“…The authors apply the concept of continual learning to modeling conductive‐filament growth in resistive‐switching materials (RSM). The approach permits…”
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Modeling electrical conduction in resistive-switching memory through machine learning
Published in AIP advances (01-07-2021)“…Traditional physical-based models have generally been used to model the resistive-switching behavior of resistive-switching memory (RSM). Recently,…”
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Nonvolatile Memristive Materials and Physical Modeling for In‐Memory and In‐Sensor Computing
Published in Small science (01-03-2024)“…Separate memory and processing units are utilized in conventional von Neumann computational architectures. However, regarding the energy and the time, it is…”
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An Efficient, Short Stimulus PANC-1 Cancer Cell Ablation and Electrothermal Therapy Driven by Hydrophobic Interactions
Published in Pharmaceutics (28-12-2022)“…Promising results in clinical studies have been demonstrated by the utilization of electrothermal agents (ETAs) in cancer therapy. However, a difficulty arises…”
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Toward Single‐Cell Multiple‐Strategy Processing Shift Register Powered by Phase‐Change Memory Materials
Published in Advanced intelligent systems (01-03-2023)“…Modern innovations are built on the foundation of computers. Compared to von Neumann architectures having separate storage and processing units, in‐memory…”
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Ultra-efficient MCF-7 cell ablation and chemotherapy-integrated electrothermal therapy with DOX–WS2–PEG–M13 nanostructures
Published in Discover materials (27-02-2024)“…Clinical trials have generated encouraging outcomes for the utility of thermal agents (TAs) in cancer thermal therapy (TT). Although the fast breakdown of TAs…”
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Toward Memristive Phase‐Change Neural Network with High‐Quality Ultra‐Effective Highly‐Self‐Adjustable Online Learning
Published in Advanced Physics Research (01-03-2024)“…Memristive hardware with reconfigurable conductance levels are leading candidates for achieving artificial neural networks (ANNs). However, owing to…”
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Energy-Efficient and Effective MCF-7 Cell Ablation and Electrothermal Therapy Enabled by M13–WS2–PEG Nanostructures
Published in Materials (20-09-2024)“…Thermal agents (TAs) have exhibited promise in clinical tests when utilized in cancer thermal therapy (TT). While rapid degradation of TAs may address safety…”
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A fast, low-energy multi-state phase-change artificial synapse based on uniform partial-state transitions
Published in APL materials (01-09-2021)“…Complementary metal–oxide–semiconductor (CMOS)-based neural architectures and memristive devices containing many artificial synapses are promising technologies…”
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Computational understanding role of vacancies and distortions in wurtzite ferroelectric memory materials: implications for device miniaturization
Published in Materials advances (04-07-2022)“…The ever-increasing importance of applications based on machine-learning has driven the need to develop delicate energy-efficient electronic hardware. Compared…”
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Energy-Efficient and Effective MCF-7 Cell Ablation and Electrothermal Therapy Enabled by M13-WS 2 -PEG Nanostructures
Published in Materials (20-09-2024)“…Thermal agents (TAs) have exhibited promise in clinical tests when utilized in cancer thermal therapy (TT). While rapid degradation of TAs may address safety…”
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Energy-Efficient and Effective MCF-7 Cell Ablation and Electrothermal Therapy Enabled by M13–WS[sub.2]–PEG Nanostructures
Published in Materials (01-09-2024)“…Thermal agents (TAs) have exhibited promise in clinical tests when utilized in cancer thermal therapy (TT). While rapid degradation of TAs may address safety…”
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WS 2 /Polyethylene Glycol Nanostructures for Ultra-Efficient MCF-7 Cancer Cell Ablation and Electrothermal Therapy
Published in ACS omega (12-07-2022)Get full text
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WS2/Polyethylene Glycol Nanostructures for Ultra-Efficient MCF‑7 Cancer Cell Ablation and Electrothermal Therapy
Published in ACS omega (12-07-2022)“…Developing novel nanostructures and advanced nanotechnologies for cancer treatment has attracted ever-increasing interest. Electrothermal therapy offers many…”
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Ultra-efficient highly-selective MFC-7 cancer cell therapy enabled by combined electric-pulse carbon 1D-nanomaterials platforms
Published in Materials advances (11-05-2022)“…Advancements in technology are enabling early cancer treatments, improving patient survivability in some types of cancers. Electrothermal cancer therapy offers…”
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