Wet deposition of atmospheric inorganic nitrogen at five remote sites in the Tibetan Plateau von Liu, Y. W, Xu-Ri, Wang, Y. S, Pan, Y. P, Piao, S. L

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Rituximab or Cyclophosphamide in the Treatment of Membranous Nephropathy: The RI-CYCLO Randomized Trial von Scolari, Francesco, Delbarba, Elisa, Santoro, Domenico, Gesualdo, Loreto, Pani, Antonello, Dallera, Nadia, Mani, Laila-Yasmin, Santostefano, Marisa, Feriozzi, Sandro, Quaglia, Marco, Boscutti, Giuliano, Ferrantelli, Angelo, Marcantoni, Carmelita, Passerini, Patrizia, Magistroni, Riccardo, Alberici, Federico, Ghiggeri, Gian Marco, Ponticelli, Claudio, Ravani, Pietro

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Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems von Yu, Jeremy, Lu, Lu, Meng, Xuhui, Karniadakis, George Em

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Physics-informed neural networks for inverse problems in nano-optics and metamaterials von Chen, Yuyao, Lu, Lu, Karniadakis, George Em, Dal Negro, Luca

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Extraction of mechanical properties of materials through deep learning from instrumented indentation von Lu, Lu, Dao, Ming, Kumar, Punit, Ramamurty, Upadrasta, Karniadakis, George Em, Suresh, Subra

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Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks von Cai, Shengze, Wang, Zhicheng, Fuest, Frederik, Jeon, Young Jin, Gray, Callum, Karniadakis, George Em

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fPINNs: Fractional Physics-Informed Neural Networks von Pang, Guofei, Lu, Lu, Karniadakis, George Em

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Dark matter decaying in the late Universe can relieve the H0 tension von Vattis, Kyriakos, Koushiappas, Savvas M, Loeb, Abraham

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Review Article: Stress in thin films and coatings: Current status, challenges, and prospects von Abadias, Grégory, Chason, Eric, Keckes, Jozef, Sebastiani, Marco, Thompson, Gregory B., Barthel, Etienne, Doll, Gary L., Murray, Conal E., Stoessel, Chris H., Martinu, Ludvik

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Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators von Lu, Lu, Jin, Pengzhan, Pang, Guofei, Zhang, Zhongqiang, Karniadakis, George Em

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Reinforcement learning for bluff body active flow control in experiments and simulations von Fan, Dixia, Yang, Liu, Wang, Zhicheng, Triantafyllou, Michael S., Karniadakis, George Em

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Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks von Jagtap, Ameya D, Kawaguchi, Kenji, Em Karniadakis, George

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Reduction Reactions of Electrolyte Salts for Lithium Ion Batteries: LiPF6, LiBF4, LiDFOB, LiBOB, and LiTFSI von Parimalam, Bharathy S., Lucht, Brett L.

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Bi-local holography in the SYK model von Jevicki, Antal, Suzuki, Kenta, Yoon, Junggi

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Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks von Zhang, Dongkun, Guo, Ling, Karniadakis, George Em

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Elliptic Double-Box Integrals: Massless Scattering Amplitudes beyond Polylogarithms von Bourjaily, Jacob L, McLeod, Andrew J, Spradlin, Marcus, von Hippel, Matt, Wilhelm, Matthias

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Celestial amplitudes: conformal partial waves and soft limits von Nandan, Dhritiman, Schreiber, Anders, Volovich, Anastasia, Zlotnikov, Michael

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Bi-local holography in the SYK model: perturbations von Jevicki, Antal, Suzuki, Kenta

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Modelling the demand for new nitrogen fixation by terrestrial ecosystems von Xu-Ri, Prentice, I. Colin

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Tackling the curse of dimensionality with physics-informed neural networks von Hu, Zheyuan, Shukla, Khemraj, Karniadakis, George Em, Kawaguchi, Kenji

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