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20092026
most citedDeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

3.4k citations · 27.2k across the 213 of their papers we have counts for

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Showing 2016Show all

10 papers · 1 filter

physics.comp-ph2016★ 77 cited

A dissipative particle dynamics method for arbitrarily complex geometries

Zhen Li, Xin Bian, Yu-Hang Tang +1

We present a local detection method for dissipative particle dynamics (DPD) involving arbitrarily shaped geometric three-dimensional domains. By introducing an indicator variable o…

physics.comp-ph2016★ 50 cited

GPU-accelerated Red Blood Cells Simulations with Transport Dissipative Particle Dynamics

Ansel L. Blumers, Yu-Hang Tang, Zhen Li +2

Mesoscopic numerical simulations provide a unique approach for the quantification of the chemical influences on red blood cell functionalities. The transport Dissipative Particles…

math.NA2016★ 48 cited

A Petrov-Galerkin Spectral Element Method for Fractional Elliptic Problems

Ehsan Kharazmi, Mohsen Zayernouri, George Em Karniadakis

We develop a new -continuous Petrov-Galerkin spectral element method for one-dimensional fractional elliptic problems of the form ${}_{0}{\mathcal{D}}_{x}^α u(x) - λu(x) =…

math.NA2016

Implicit-Explicit difference schemes for nonlinear fractional differential equations with non-smooth solutions

Wanrong Cao, Fanhai Zeng, Zhongqiang Zhang +1

We propose second-order implicit-explicit (IMEX) time-stepping schemes for nonlinear fractional differential equations with fractional order . From the known structure of th…

math.NA2016★ 4 cited

A Tunably-Accurate Laguerre Petrov-Galerkin Spectral Method for Multi-Term Fractional Differential Equations on the Half Line

Anna Lischke, Mohsen Zayernouri, George Em Karniadakis

We present a new tunably-accurate Laguerre Petrov-Galerkin spectral method for solving linear multi-term fractional initial value problems with derivative orders at most one and co…

cs.LG2016★ 326 cited

Inferring solutions of differential equations using noisy multi-fidelity data

Maziar Raissi, Paris Perdikaris, George Em. Karniadakis

For more than two centuries, solutions of differential equations have been obtained either analytically or numerically based on typically well-behaved forcing and boundary conditio…