Nine voices, one artist : linguistic and acoustic analysis by Marziliano, Pina, German, James Sneed, Amin, Talal B.

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Domain wall pinning through nanoscale interfacial Dzyaloshinskii-Moriya interaction by Kumar, Durgesh, Chan, Jianpeng, Piramanayagam, S. N.

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Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images by Tian, Jing, Marziliano, Pina, Baskaran, Mani, Tun, Tin Aung, Aung, Tin

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The hierarchy of Davydov's Ansaetze and its applications by Zhao, Yang, Sun, Kewei, Chen, Lipeng, Gelin, Maxim

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Evaluating the effect of rapamycin treatment in Alzheimer’s disease and aging using in vivo imaging: the ERAP phase IIa clinical study protocol by Svensson, Jonas E., Bolin, Martin, Thor, Daniel, Williams, Pete A., Brautaset, Rune, Carlsson, Marcus, Sörensson, Peder, Marlevi, David, Spin-Neto, Rubens, Probst, Monika, Hagman, Göran, Morén, Anton Forsberg, Kivipelto, Miia, Plavén-Sigray, Pontus

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16.07 Dynamics, Fall 2004 by Peraire, Jaume

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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…PINN offers an alternative to classical numerical methods. …”
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Learning from nature : experimental observation of mimosa pudica by Zhang, Yi

“…Remarkably, the partial pinna stimulation demonstrated a twofold increase in closing time in comparison to entire pinna stimulation, which implied the stimulation contact area did play a significant part in pinna closing time but had no effect on pinna reopening time. …”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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Modeling, sampling and reconstruction of EEG signals with seizures by Leena Bhandari.

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Spectroscopic study of emergent electronic phases in transition metal based compounds by Song, Qian

“…Antiferromagnets with non-relativistic spin splitting are outstanding candidates as the next generation of spintronic materials owing to their electron-volt (eV) scale spin splitting, ultrafast spin dynamics and nearly vanishing stray fields. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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EEG analysis using the linear canonical transform by Nair, Amrish

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Liver tumor volume estimation by Lu, Rui

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Engineered terahertz emission from spintronic heterostructures: amplitude, phase and chirality by Agarwal, Piyush

“…As such, the photoexcitation leads to ultrafast spin-scattering events in the FM, during which the spins transport from the FM into the adjacent heavy metal(HM) layer to experience an inverse spin Hall effect, producing a transverse charge current and terahertz radiation. …”
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Optimization for real time strategy games by Ng, Heng Khai.

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Dynamics of a magnetic polaron in an antiferromagnet by Shen, Kaijun, Gelin, Maxim F., Sun, Kewei, Zhao, Yang

“…We uncover the nuanced dependence of hole and spin deviation dynamics on the spin-spin coupling parameter J, revealing a thermally-activated landscape where hole mobilities and spin deviations exhibit a distinct temperature-dependent relationship. …”
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Telecommunication postage stamps by Tan, Jia Hao

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Denoising ECG signals by Oh, Melissa Kai Zhen

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