On 4-dimensional Einsteinian manifolds with parallel null distribution [PDF]
In this paper, we investigate the Einsteinian manifolds with parallel null distribution. For this purpose, we first obtain the equations, which are known as Einstein's equations, that lead to finding the mentioned manifolds and then, we reduce Einstein's
Mehdi Jafari
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Plant-derived exosomes: an emerging delivery platform for cancer therapy. [PDF]
Zhou Y +8 more
europepmc +1 more source
Implementing physics-informed neural networks with deep learning for differential equations. [PDF]
Emmert-Streib F +3 more
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Exploring the exact solutions of the Kuramoto-Sivashinsky equation with advection noise in fluid dynamics. [PDF]
Obeidat ST, Rizk D, Mohammed WW.
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Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]
Mortezanejad SAF +2 more
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NeuberNet: a neural operator solving elastic-plastic partial differential equations at V-notches from low-fidelity elastic simulations. [PDF]
Grossi T, Beghini M, Benedetti M.
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A fast, accurate and oscillation-free spectral collocation solver for high-dimensional transport problems. [PDF]
Cavallini N +3 more
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Partial differential equations in data science. [PDF]
Bertozzi AL +3 more
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Physics-informed neural networks for physiological signal processing and modeling: a narrative review. [PDF]
Zhao A, Fattahi D, Hu X.
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Modelling the impact of temperature and bird migration on the spread of West Nile virus. [PDF]
Duve P, Sauer FG, Lühken R.
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