Huaiqian you
WebApr 14, 2024 · We present OBMeshfree, an Optimization-Based Meshfree solver for compactly supported nonlocal integro-differential equations (IDEs) that can describe material heterogeneity and brittle fractures. OBMeshfree is developed based on a quadrature rule calculated via an equality constrained least square problem to reproduce exact integrals … WebJan 10, 2024 · Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network Huaiqian Youa, Yue Yua,, Marta D’Eliab, Tian Gaoc, Stewart Sillingd aDepartment of Mathematics, Lehigh University, Bethlehem, PA bComputational Science and Analysis, Sandia National Laboratories, Livermore, CA cIBM Research, …
Huaiqian you
Did you know?
WebHuaiqian 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... WebHuaiqian Yi. Paolo Vinai. Christophe Demazière. The acceleration of the convergence rate is studied for a neutron transport solver to simulate 2-D, 2-energy-group neutron noise …
WebApr 9, 2024 · Huaiqian You, Quinn Zhang, Colton J. Ross, Chung-Hao Lee, Yue Yu; Computer Science. Computer Methods in Applied Mechanics and Engineering. 2024; 15. PDF. Save. Alert. Physics-Informed Neural Operator for Learning Partial Differential Equations. Zong-Yi Li, Hongkai Zheng, +5 authors Anima Anandkumar; Computer Science. WebJul 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
Web1 day ago · Huaiqian You; Xiaochuan Tian; Yue Yu; In this work we aim to develop a unified mathematical framework and a reliable computational approach to model the brittle fracture in heterogeneous materials ... WebHuaiqian has 2 jobs listed on their profile. See the complete profile on LinkedIn and discover Huaiqian’s connections and jobs at similar companies.
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 … fall risk screening cdcWebJan 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 … fall risk screening questionnaireWeb(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) … convert g/kwh to g/hp-hrWebHuaiqian 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 … convert git repo to helm chartWebOct 11, 2024 · Huaiqian You 1 , Quinn Zhang 1 , Colton Ross 2 , Chung-Hao Lee 2 , Ming-Chen Hsu 3 , Yue Yu 1 Affiliations 1 Department of Mathematics, Lehigh University, … fall rite tree service kewaunee wiWebAug 23, 2024 · See you on Thursday. US Association for Computational Mechanics (USACM), TTA: Uncertainty Quantification and Probabilistic Modeling. ... :30-5:55 Data-Driven Learning of Nonlocal Models:from High-Fidelity Simulations to Constitutive Laws abstract Yue Yu and Huaiqian You, Lehigh University, U.S.; Stewart Silling and Marta … convert glb to skpWebMay 17, 2024 · ∙ by Huaiqian You, et al. ∙ 0 ∙ share A key challenge to nonlocal models is the analytical complexity of deriving them from first principles, and frequently their use is justified a posteriori. In this work we extract nonlocal models from data, circumventing these challenges and providing data-driven justification for the resulting model form. fall risk teaching patients