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Maziar Raissi - Google 学术搜索 Maziar Raissi Associate Professor of Applied Mathematics, University of California Riverside 在 ucr edu 的电子邮件经过验证 文章 1–20
Physics-informed neural networks: A deep learning framework for solving . . . Extensions to nonlinear problems were proposed in subsequent studies by Raissi et al [8], [9] in the context of both inference and systems identification Despite the flexibility and mathematical elegance of Gaussian processes in encoding prior information, the treatment of nonlinear problems introduces two important limitations
Maziar Raissi | Interdisciplinary Center for Quantitative Modeling in . . . Maziar Raissi Department of Mathematics, University of California, Riverside Google Scholar Our lab’s research lies at the intersection of Scientific Computing and Artificial Intelligence (AI), with a focus on integrating foundational first principles into AI models to address complex challenges in science and engineering