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Showing 1,101 - 1,120 results of 9,809 for search '(((sspina OR ping) OR five) OR ((ann OR ((spin OR pinna) OR lingat)) OR pin))', query time: 0.18s Refine Results
  1. 1101

    Persuasive evidence for electron-nuclear coupling in diluted magnetic colloidal nanoplatelets using optically detected magnetic resonance spectroscopy by Strassberg, Rotem, Delikanli, Savas, Barak, Yahel, Dehnel, Joanna, Kostadinov, Alyssa, Maikov, Georgy, Hernandez-Martinez, Pedro Ludwig, Sharma, Manoj, Demir, Hilmi Volkan, Lifshitz, Efrat

    Published 2020
    “…The incorporation of magnetic impurities into semiconductor nanocrystals with size confinement promotes enhanced spin exchange interaction between photogenerated carriers and the guest spins. …”
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    Journal Article
  2. 1102

    Direct observation of deterministic domain wall trajectory in magnetic network structures by Sethi, Pankaj, Murapaka, Chandrasekhar, Goolaup, Sarjoosing, Chen, Yun Jie, Leong, Siang Huei, Lew, Wen Siang

    Published 2018
    “…The DW propagation in the network structure is governed by the geometrically induced potential barrier and pinning strength against the propagation. This technique can be extended for controlling the trajectory of magnetic charge carriers in an artificial spin ice lattice.…”
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    Journal Article
  3. 1103

    Quantum Monte Carlo study of the phase diagram of the two-dimensional uniform electron liquid by Azadi, S, Drummond, ND, Vinko, SM

    Published 2024
    “…We present a study of spin-unpolarized and spin-polarized two-dimensional uniform electron liquids using variational and diffusion quantum Monte Carlo (VMC and DMC) methods with SlaterJastrow-backflow trial wave functions. …”
    Journal article
  4. 1104

    Cationic distribution, exchange interactions, and relaxation dynamics in Zn-diluted MnCo2O4 nanostructures by Tiwari, Nidhi, Pramanik, P., Joshi, D. C., Sarkar, T., Pittala, S., Salman, O. O., Manga, M.-M., Thota, S.

    Published 2019
    “…Relaxation time τ follows the Power-Law variation with a dynamical critical exponent zν=6.17 and microscopic spin relaxation time τo=4.4×10−15s for xB=0.2 (for yA=0.1, zν=5.2 and τo=5.4×10−13s). …”
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    Journal Article
  5. 1105

    A study on business development strategies and tactics in the shipping industry to improve customer satisfaction (port sector) by Lau, Benedict Yew Fei

    Published 2017
    “…As Internet of Things (IoT) and Big data analytics are one of the top five evolving trends in the global maritime industry, it creates both new opportunities and additional uncertainties into the future of the industry. …”
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    Final Year Project (FYP)
  6. 1106

    Experimental studies of melting PCM in a heat sink by Muhammad Azrin Sa'ad.

    Published 2011
    “…The heat sink design that was the focus of this study is based on the pin finned heat sink design. Experiments mainly pertaining to the characteristics of the melting PCM in the heat sinks were observed and recorded to further understand the behaviours and characteristics of the melting PCM. …”
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    Final Year Project (FYP)
  7. 1107

    Optically detected magnetic resonance spectroscopic analyses on the role of magnetic ions in colloidal nanocrystals by Dehnel, Joanna, Harchol, Adi, Barak, Yahel, Meir, Itay, Horani, Faris, Shapiro, Arthur, Strassberg, Rotem, de Mello Donegá, Celso, Demir, Hilmi Volkan, Gamelin, Daniel R., Sharma, Kusha, Lifshitz, Efrat

    Published 2024
    “…Incorporating magnetic ions into semiconductor nanocrystals has emerged as a prominent research field for manipulating spin-related properties. The magnetic ions within the host semiconductor experience spin-exchange interactions with photogenerated carriers and are often involved in the recombination routes, stimulating special magneto-optical effects. …”
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    Journal Article
  8. 1108
  9. 1109

    Event detection in spatiotemporal soccer data using neural networks by Wilbert

    Published 2021
    “…This project implements and evaluates three-layer and four-layer artificial neural networks (ANN(3) and ANN(4)) as well as recurrent neural networks (RNNs) for automatic event detection in spatiotemporal soccer data. …”
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    Final Year Project (FYP)
  10. 1110

    Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

    Published 2023
    “…In this work, we proposed a physics-guided neural network (PGNN) for tissue optical properties regression which integrates physics prior and constraint into the artificial neural network (ANN) model. With this method, we have demonstrated superior generalizability of PGNN compared to its pure ANN counterpart. …”
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    Journal Article
  11. 1111

    Tailoring atomic chemistry to refine reaction pathway for the most enhancement by magnetization in water oxidation by Wu, Tianze, Ge, Jingjie, Wu, Qian, Ren, Xiao, Meng, Fanxu, Wang, Jiarui, Xi, Shibo, Wang, Xin, Elouarzaki, Kamal, Fisher, Adrian, Xu, Jason Zhichuan

    Published 2024
    “…Water oxidation on magnetic catalysts has generated significant interest due to the spin-polarization effect. Recent studies have revealed that the disappearance of magnetic domain wall upon magnetization is responsible for the observed oxygen evolution reaction (OER) enhancement. …”
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    Journal Article
  12. 1112

    Emergent geometric frustration of artificial magnetic skyrmion crystals by Ma, Fusheng, Reichhardt, C., Gan, Weiliang, Reichhardt, C. J. Olson, Lew, Wen Siang

    Published 2017
    “…The spin-torque reconfigurability of the artificial skyrmion ice states, difficult to achieve in other artificial spin ice systems, is compatible with standard spintronic device fabrication technology, which makes the semiconductor industrial integration straightforward.…”
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    Journal Article
  13. 1113

    Efficient circuit-designs using spintronic devices by Deb, Suman

    Published 2019
    “…To be able to utilize the existing EDA tools for implementing spin-based logic circuits, it is important that the logic primitives in these data structures can be natively realized by spin devices. …”
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    Thesis
  14. 1114

    Antiferromagnetic half-skyrmions and bimerons at room temperature by Jani, H, Lin, J-C, Chen, J, Harrison, J, Maccherozzi, F, Schad, J, Prakash, S, Eom, C-B, Ariando, A, Venkatesan, T, Radaelli, PG

    Published 2021
    “…Here we realize a family of topological antiferromagnetic spin textures in α-Fe2O3—an Earth-abundant oxide insulator—capped with a platinum overlayer. …”
    Journal article
  15. 1115

    Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

    Published 2017
    “…Two different models of Artificial Neural Network(ANN), namely Backpropagation(BP) model and Radial Basis Function(RBF) model, are constructed and evaluated. …”
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    Final Year Project (FYP)
  16. 1116
  17. 1117

    Van der Waals magnetic materials for current-induced control toward spintronic applications by Ryu, Jeongchun, Kajale, Shivam N., Sarkar, Deblina

    Published 2024
    “…Spintronics, leveraging electron spin for information processing, promises substantial advancements in energy-efficient computing. …”
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    Article
  18. 1118

    Hybrid biometric authentication for automatic teller machine by Arokiasamy, Steven R., Tomal, Md Raihanul Islam, Moorthy, Kohbalan, Mohd Daud, Kauthar

    Published 2024
    “…Unlike traditional password or PIN-based methods, biometric authentication uses unique physical characteristics, such as fingerprints, to verify identity. …”
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    Article
  19. 1119

    Superconductivity from repulsive interactions in Bernal-stacked bilayer graphene by Wagner, G, Kwan, Y, Bultinck, N, Simon, S, Ashok Parameswaran, S

    Published 2024
    “…Intriguingly, superconductivity manifests only at nonzero magnetic fields, or when spin-orbit coupling is induced in BBG by coupling to a substrate. …”
    Journal article
  20. 1120

    Examining IoT-based smart campus adoption model: an investigation using two-stage analysis comprising structural equation modelling and artificial neural network by Sneesl, Radhwan, Jusoh, Yusmadi Yah, A. Jabar, Marzanah, Abdullah, Salfarina

    Published 2023
    “…In particular, the model demonstrates satisfactory predictive relevance, indicating its effectiveness in making accurate predictions or forecasts. The ANN analysis suggests that the model has predictive capabilities. …”
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    Article