Double Diffusion, Shear Instabilities, and Heat Impacts of a Pacific Summer Water Intrusion in the Beaufort Sea by Fine, Elizabeth C., MacKinnon, Jennifer A., Alford, Matthew H., Middleton, Leo, Taylor, John, Mickett, John B., Cole, Sylvia T., Couto, Nicole, Boyer, Arnaud Le, Peacock, Thomas

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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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Orientations of the divine in medieval urbanism by Frost, Christian W.

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Lorenzo Ghiberti and contested views of perspectiva in Renaissance concepts of space by Temple, Nicholas

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Introduction by Panti, Cecilia, Paravicini Bagliani, Agostino, Temple, Nicholas

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Turbulent diapycnal fluxes as a pilot Essential Ocean Variable by Le Boyer, Arnaud, Couto, Nicole, Alford, Matthew H., Drake, Henri F., Bluteau, Cynthia E., Hughes, Kenneth G., Naveira Garabato, Alberto C., Moulin, Aurélie J., Peacock, Thomas, Fine, Elizabeth C., Mashayek, Ali, Cimoli, Laura, Meredith, Michael P., Melet, Angelique, Fer, Ilker, Dengler, Marcus, Stevens, Craig L.

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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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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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