Huaiqian you
WebHuaiqian You, Yue Yu, Marta D'Elia, Tian Gao, and Stewart Silling. On computing the hyperparameter of extreme learning machines: Algorithm and application to computational PDEs, and comparison with classical and high-order finite elements. Journal of Computational Physics, 2024. paper. Suchuan Dong and Jielin Yang. WebJan 28, 2024 · MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics. Lu Zhang, Huaiqian You, Tian Gao, Mo Yu, Chung-Hao Lee, Yue Yu. Gradient-based meta-learning methods have primarily been applied to classical machine learning tasks such as image classification. Recently, PDE-solving deep learning methods, such as neural …
Huaiqian you
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WebTowards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures. H You, X Xu, Y Yu, S Silling, M D'Elia, J Foster. arXiv … WebTowards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures. Molecular dynamics (MD) has served as a powerful tool for …
WebDr. Huiyu Qian is Assistant Professor at California School of Management and Leadership. She earned her MS in Statistics and PhD in Applied Mathematics with Concentration on … WebHuaiqian You1, Xin Yang Lu2, Nathaniel Trask3 and Yue Yu1,* Abstract. In this paper we consider 2D nonlocal diffusion models with a finite nonlocal horizon parameter …
Webno code implementations • 29 Dec 2024 • Ning Liu , Yue Yu , Huaiqian You , Neeraj Tatikola Neural operators, which emerge as implicit solution operators of hidden governing equations, have recently become popular tools for learning responses of complex real-world physical systems. Paper Add Code WebData-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws Marta D’Eliaa, Yue Yub, Huaiqian Youb, Stewart Sillingd aComputational Science and Analysis, Sandia National Laboratories, bDepartment of Mathematics, Lehigh University cCenter for Computing Research, Sandia National Laboratories Abstract. We propose a …
WebFeb 1, 2024 · TL;DR: Meta-learning method to transfer hidden physics. Abstract: Gradient-based meta-learning methods have primarily focused on classical machine learning …
WebHuaiqian You Lehigh University Verified email at lehigh.edu. ... H You, Y Yu, N Trask, M Gulian, M D’Elia. Computer Methods in Applied Mechanics and Engineering 374, 113553, 2024. 73: 2024: An asymptotically compatible meshfree quadrature rule for non-local problems with applications to peridynamics. ma1132 model nameWebHuaiqian You (Preferred) Suggest Name; Emails. Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous … ma 10 indicatorWebJan 13, 2024 · This study proposed a new facile route to rational creating oxygen-vacancy (Vo)-rich surface of Co3O4 nanosheets by acetic acid leaching. The acid leached Co3O4 nanosheets was very active in peroxymonosulfate (PMS) activation for degradation of atrazine (ATZ), 99.4% ATZ removal efficiency was achieved in Co3O4-a/PMS system … ma118 progressiveWeb(5) Huaiqian You (Lehigh) A computational framework to machine-learn nonlocal constitutive models: 4:45 pm - 5:00 pm: Networking Break ; 5:00 pm - 6:12 pm: Contributed Talks: (6) Thomas Brown (GMU) Using DNNs for chemical reactions (7) Akwum Onwunta (GMU) Novel deep neural networks for solving Bayesian statistical inverse problems (8) … costco floating unicornWebHuaiqian You1, Xin Yang Lu2, Nathaniel Trask3 and Yue Yu1,* Abstract. In this paper we consider 2D nonlocal diffusion models with a finite nonlocal horizon parameter characterizing the range of nonlocal interactions, and consider the treatment of Neumann-like boundary conditions that have proven challenging for discretizations of nonlocal models. ma 114 ncsu redditWebApr 1, 2024 · We present a data-driven workflow to biological tissue modeling, which aims to predict the displacement field based on digital image correlation (DIC) measurements … ma 133 grccWebJul 18, 2024 · Together with Prof. Huan Xun@University of Michigan, we will host a two-section mini-symposium (MS48) entiled: Physics-aware machine learning for solving and discovering PDEs, part I (MS48) and part II (MS105) Part I (MS 48), Tuesday, July 20 ma112 filters