Search Results - "Go, Shao‐Xiang"

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  1. 1

    Ultrafast Near‐Ideal Phase‐Change Memristive Physical Unclonable Functions Driven by Amorphous State Variations by Go, ShaoXiang, Wang, Qiang, Lim, Kian Guan, Lee, Tae Hoon, Bajalovic, Natasa, Loke, Desmond K.

    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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  2. 2

    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 by Wang, Qiang, Go, Shao-Xiang, Liu, Chen, Li, Minghua, Zhu, Yao, Li, Lunna, Lee, Tae Hoon, Loke, Desmond K.

    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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  3. 3

    A Phase‐Change Memristive Reinforcement Learning for Rapidly Outperforming Champion Street‐Fighter Players by Go, Shao-Xiang, Jiang, Yu, Loke, Desmond K.

    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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  4. 4

    Continual Learning Electrical Conduction in Resistive‐Switching‐Memory Materials by Go, ShaoXiang, Wang, Qiang, Wang, Bo, Jiang, Yu, Bajalovic, Natasa, Loke, Desmond K.

    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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  5. 5

    Modeling electrical conduction in resistive-switching memory through machine learning by Periasamy, Karthekeyan, Wang, Qishen, Fu, Yi, Go, Shao-Xiang, Jiang, Yu, Bajalovic, Natasa, Wang, Jer-Chyi, Loke, Desmond. K.

    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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  6. 6

    Nonvolatile Memristive Materials and Physical Modeling for In‐Memory and In‐Sensor Computing by Go, Shao-Xiang, Lim, Kian-Guan, Lee, Tae-Hoon, Loke, Desmond K.

    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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  7. 7

    An Efficient, Short Stimulus PANC-1 Cancer Cell Ablation and Electrothermal Therapy Driven by Hydrophobic Interactions by Meivita, Maria P, Lee, Denise, Naikar, J Shamita, Go, Shao-Xiang, Teoh, Wey Chyi, Tan, Yaw Sing, Bajalovic, Natasa, Loke, Desmond K

    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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  8. 8

    Toward Single‐Cell Multiple‐Strategy Processing Shift Register Powered by Phase‐Change Memory Materials by Go, Shao-Xiang, Wang, Qiang, Huang, Kejie, Lee, Tae Hoon, Bajalovic, Natasa, Loke, Desmond K.

    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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  9. 9

    Ultra-efficient MCF-7 cell ablation and chemotherapy-integrated electrothermal therapy with DOX–WS2–PEG–M13 nanostructures by Mozar, Fitya S., Meivita, Maria P., Go, Shao-Xiang, Li, Lunna, Bajalovic, Natasa, Loke, Desmond K.

    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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  10. 10

    Toward Memristive Phase‐Change Neural Network with High‐Quality Ultra‐Effective Highly‐Self‐Adjustable Online Learning by Lim, Kian‐Guan, Go, ShaoXiang, Tan, Chun‐Chia, Jiang, Yu, Cai, Kui, Chong, Tow‐Chong, Elliott, Stephen R., Lee, Tae‐Hoon, Loke, Desmond K.

    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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  11. 11

    Energy-Efficient and Effective MCF-7 Cell Ablation and Electrothermal Therapy Enabled by M13–WS2–PEG Nanostructures by Meivita, Maria P., Mozar, Fitya S., Go, Shao-Xiang, Li, Lunna, Bajalovic, Natasa, Loke, Desmond K.

    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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  12. 12

    A fast, low-energy multi-state phase-change artificial synapse based on uniform partial-state transitions by Go, Shao Xiang, Lee, Tae Hoon, Elliott, Stephen R., Bajalovic, Natasa, Loke, Desmond K.

    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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  13. 13

    Computational understanding role of vacancies and distortions in wurtzite ferroelectric memory materials: implications for device miniaturization by Wang, Qiang, Go, Shao-Xiang, Liu, Chen, Li, Minghua, Zhu, Yao, Li, Lunna, Lee, Tae Hoon, Loke, Desmond K

    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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  14. 14

    Energy-Efficient and Effective MCF-7 Cell Ablation and Electrothermal Therapy Enabled by M13-WS 2 -PEG Nanostructures by Meivita, Maria P, Mozar, Fitya S, Go, Shao-Xiang, Li, Lunna, Bajalovic, Natasa, Loke, Desmond K

    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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    Journal Article
  15. 15

    Energy-Efficient and Effective MCF-7 Cell Ablation and Electrothermal Therapy Enabled by M13–WS[sub.2]–PEG Nanostructures by Meivita, Maria P, Mozar, Fitya S, Go, Shao-Xiang, Li, Lunna, Bajalovic, Natasa, Loke, Desmond K

    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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    Journal Article
  16. 16
  17. 17

    WS2/Polyethylene Glycol Nanostructures for Ultra-Efficient MCF‑7 Cancer Cell Ablation and Electrothermal Therapy by Meivita, Maria Prisca, Chan, Sophia S. Y., Go, Shao Xiang, Lee, Denise, Bajalovic, Natasa, Loke, Desmond K.

    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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  18. 18

    Ultra-efficient highly-selective MFC-7 cancer cell therapy enabled by combined electric-pulse carbon 1D-nanomaterials platforms by Chan, Sophia S. Y, Go, Shao Xiang, Meivita, Maria Prisca, Lee, Denise, Bajalovic, Natasa, Loke, Desmond K

    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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