Anomalous high-magnetic field electronic state of the nematic superconductors FeSe 1 − x S x by Bristow, M, Reiss, P, Haghighirad, A, Zajicek, Z, Singh, S, Wolf, T, Graf, D, Knafo, W, McCollam, A, Coldea, A

“…Our study reveals anomalous transport inside the nematic phase, influenced by both changes in the electronic structure and the scattering with the lattice and spin fluctuations.…”

Gate-tunable Josephson diode by Mazur, GP, van Loo, N, van Driel, D, Wang, J-Y, Kouwenhoven, LP, Badawy, G, Gazibegovic, S, Bakkers, EPAM

“…In particular, it is strongest along a specific angle, which we interpret as the direction of the spin-orbit field in the proximitized leads. Moreover, the electrostatic gates can be used to drastically alter this effect and even completely suppress it. …”

Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…In Chapter 5, another type of MPPT technique, a hybrid MPPT which combines an artificial neural network (ANN)-based MPPT and a conventional MPPT, is proposed for PV systems operating under conditions with rapid irradiance change. …”
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Development of engineering tools and design guidelines for FRP strengthened RC walls subject to near field blast loading by Fung, Tat Ching, Tan, Kang Hai, Werner Riedel, Yu, Qingjun, Del Linz, Paolo, Li, Gen, Tu, Huan

“…In this report D5, as a supplement, some additional cases of CFRP strengthened RC walls by uncased charge have also been studied for ANN analysis. Moreover, additional cases of CFRP strengthened RC walls using the large cased charge, denote as “device B”, have been studied. …”
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A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing by Zhan, Zhixin, Li, Hua

“…After that, the two commonly-used ML models including artificial neural network (ANN) and random forest (RF) are implemented to carry out fatigue life prediction. …”
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Highly precise modelling of resonant coils based on deep neural networks for wireless power transfer systems by Li, Zhaokun

“…Additionally, considering the data-fitting characteristics of AI algorithms, ANN and transfer learning is chosen to combine theoretical calculation data, FEA simulation data, and experimental measurement data, yielding a more accurate calculation model. …”
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Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays by Jiang, Lian Lian., Maskell, Douglas L., Patra, Jagdish C.

“…There are two basic approaches to build a model - use an analytical modeling technique or use an Artificial Neural Network (ANN) based method. However, both the analytical modeling technique and the traditional Multilayer Perceptron (MLP) model have some disadvantages. …”
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Influence of psychological and personal factors on predicting individual's thermal comfort in an office building using linear estimation and machine learning model by Muhammad Nafiz, Muhammad Nafiz, Shaikh Salim, Sheikh Ahmad Zaki, Nadarajah, Pravin Diliban, Singh, Manoj Kumar

“…For ML, training and evaluation have been done for five ML models: Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbour (KNN). …”

Detection of microscope-excited surface plasmon polaritons with Rayleigh scattering from metal nanoparticles by Du, Luping, Tang, Dingyuan, Yuan, Xiaocong

“…We also use this method to reveal the conversion of spin angular momentum of light to the orbital angular momentum of SPPs under tight-focusing conditions.…”
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Measurement-based quantum computation on two-body interacting qubits with adiabatic evolution by Kyaw, Thi Ha, Li, Ying, Kwek, Leong-Chuan

“…Here, we propose the creation of a cluster state of logical qubits encoded in spin-1/2 particles by adiabatically weakening two-body interactions. …”
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Coupled domain wall oscillations in magnetic cylindrical nanowires by Murapaka, Chandrasekhar, Goolaup, S., Purnama, I., Lew, W. S.

“…It is possible to sustain the DW oscillations by applying spin-polarized current to the nanowires to balance the repulsive magnetostatic coupling. …”
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Molecular modulation of fluorene-dibenzothiophene-S,S-dioxide-based conjugated polymers for enhanced photoelectrochemical water oxidation under visible light by Dai, Chunhui, Gong, Xuezhong, Zhu, Xianglin, Xue, Can, Liu, Bin

“…Moreover, C12 was used for preparation of a composite film with TiO2 nanorod arrays via spin-coating to yield an approximately 11-fold higher anodic PEC activity than that of pure TiO2. …”
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Perovskite light emitting transistors by Cheng, Bryan Wei Hao

“…In this work, we realized spin coated and thermally evaporated methylammonium lead iodide (MAPbI3) perovskite light-emitting transistors operated by a pulsed gate bias voltage. …”
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Fabrication and characterisation of NiFe nanoparticles and nanowires. by Renuka Prasobhan.

“…On the other hand, out-of-plane magnetic field on 100nm thick nanodisks was found to have vortex chirality, meaning that the spin direction changes from top to bottom of the disk. …”
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Synthetic shuttlecock dynamics by Muhammad Afiq Abdul Hamid

“…Using the data from the experiment, the flight trajectory was plotted, and velocities as well as spin rates were recorded. This data was then compared to that of feather and synthetic shuttlecocks. …”
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Bilayer skyrmion dynamics on a magnetic anisotropy gradient by Ang, Calvin Ching Ian, Gan, Weiliang, Lew, Wen Siang

“…Magnetic skyrmion transport has been primarily based on the use of spin torques which require high current densities and face performance deterioration associated with Joule heating. …”
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Detection of Magnetic Field Effects by Confocal Microscopy by Déjean, V, Timmel, C, Konowalczyk, M

“…Pairs of paramagnetic species generated under conservation of total spin angular momentum can undergo magnetosensitive processes. …”

Amplitude analysis of B + → ψ (2 S ) K + π + π − decays by Aaij, R, Abdelmotteleb, ASW, Abellan Beteta, C, Abudinén, F, Ackernley, T, Adefisoye, AA, Adeva, B, Adinolfi, M, Adlarson, P, Agapopoulou, C, Aidala, CA, Ajaltouni, Z, Akar, S, Akiba, K, Albicocco, P, Albrecht, J, Alessio, F, Alexander, M, Aliouche, Z, Alvarez Cartelle, P, Amalric, R, Amato, S, Amey, JL, Amhis, Y, Bacher, D, Bovill, M, Cervenkov, D, Fischer, KL, Gao, R, Gilman, AL, Goncalves Abrantes, F, Harnew, N, John, M, Mackay, I, Malde, S, Martel, L, Mohammed, RA, Patoc, J, Resmi, PK, Scantlebury Smead, LG, Smallwood, JC, Stanislaus, S, Suljik, F, Tat, MD, Vico Benet, D, Wilkinson, G, Zhang, S

“…Significant resonant activity with spin-parity JP = 1+ in the ψ(2S)π+ system is confirmed and a multi-pole structure is demonstrated. …”

Strain‐modulated ferromagnetism at an intrinsic van der Waals heterojunction by Fujita, R, Gurung, G, Mawass, M, Smekhova, A, Kronast, F, Toh, AK, Soumyanarayanan, A, Ho, P, Singh, A, Heppell, E, Backes, D, Maccherozzi, F, Watanabe, K, Taniguchi, T, Mayoh, DA, Balakrishnan, G, van der Laan, G, Hesjedal, T

“…Density functional theory calculations and atomistic spin dynamic simulations show that the Fe3GeTe2 layer is compressively strained by 0.4%, reducing the exchange stiffness and magnetic anisotropy. …”

Search for boosted low-mass resonances decaying into hadrons produced in association with a photon in pp collisions at s = 13 TeV with the ATLAS detector by Aad, G, Aakvaag, E, Abbott, B, Abdelhameed, S, Abeling, K, Abicht, NJ, Abidi, SH, Aboelela, M, Aboulhorma, A, Abramowicz, H, Abreu, H, Abulaiti, Y, Acharya, BS, Ackermann, A, Adam Bourdarios, C, Adamczyk, L, Addepalli, SV, Addison, MJ, Adelman, J, Adiguzel, A, Adye, T, Affolder, AA, Afik, Y, Agaras, MN, Barr, AJ, Bortoletto, D, Bruckler, TL, Celli, F, Chen, M, Conroy, EI, Cooper-Sarkar, AM, Dingley, T, Draguet, MA, Eberwein, GH, Frost, JA, Gallas, EJ, Grabarczyk, RP, Gwenlan, C, Haslbeck, F, Hays, CP, Hodkinson, BH, Huffman, TB, Iizawa, T, Karava, K, Koch, SF, Li, Z, Moser, B, Nagai, K, Nedic, L, Nickerson, RB, Pacey, HA, Rossi, E, Ruggiero, A, Schopf, E, Shipsey, IPJ, Sultan, DMS, Viehhauser, GHA, Weidberg, AR, Yildirim, TP

“…The observed data are found to agree with Standard Model predictions and 95% confidence level upper limits are set on the coupling of a hypothetical new spin-1 Z′ resonance with Standard Model quarks as a function of the assumed Z′-boson mass in the range between 20 and 200 GeV.…”