Ameya D. Jagtap
Ameya D. Jagtap
Assistant Professor of Applied Mathematics (Research), Brown University, USA
Verified email at brown.edu - Homepage
Title
Cited by
Cited by
Year
Physics-informed neural networks for high-speed flows
Z Mao, AD Jagtap, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 360, 112789, 2020
712020
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks
AD Jagtap, K Kawaguchi, GE Karniadakis
Journal of Computational Physics 404, 109136, 2020
712020
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
AD Jagtap, E Kharazmi, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 365, 113028, 2020
362020
Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks
AD Jagtap, K Kawaguchi, GE Karniadakis
Proceedings of the Royal Society A 476 (2239), 20200334, 2020
302020
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations
AD Jagtap, GE Karniadakis
Communications in Computational Physics 28 (5), 2002-2041, 2020
132020
Higher Order Scheme for Two-Dimensional Inhomogeneous sine-Gordon Equation with Impulsive Forcing
AD Jagtap, ASV Murthy
Communications in Nonlinear Science and Numerical Simulation 64, 178-197, 2018
102018
Perturbed soliton and director deformation in a ferronematic liquid crystal
M Saravanan, AD Jagtap, ASV Murthy
Chaos, Solitons & Fractals 106, 220-226, 2018
62018
Revisiting the inhomogeneously driven sine–Gordon equation
AD Jagtap, E Saha, JD George, ASV Murthy
Wave Motion 73, 76-85, 2017
52017
Higher order spectral element scheme for two-and three-dimensional Cahn–Hilliard equation
AD Jagtap, ASV Murthy
International Journal of Advances in Engineering Sciences and Applied …, 2018
32018
On spatio-temporal dynamics of sine-Gordon soliton in nonlinear non-homogeneous media using fully implicit spectral element scheme
AD Jagtap
Applicable Analysis 100 (1), 37-60, 2021
22021
Method of relaxed streamline upwinding for hyperbolic conservation laws
AD Jagtap
Wave Motion 78, 132-161, 2018
22018
A physics-informed neural network for quantifying the microstructure properties of polycrystalline Nickel using ultrasound data
K Shukla, AD Jagtap, JL Blackshire, D Sparkman, GE Karniadakis
arXiv preprint arXiv:2103.14104, 2021
12021
L1 - type smoothness indicators based WENO scheme for nonlinear degenerate parabolic equations
S Rathan, R Kumar, AD Jagtap
Applied Mathematics and Computation 375, 125112, 2020
12020
Parallel Physics-Informed Neural Networks via Domain Decomposition
K Shukla, AD Jagtap, GE Karniadakis
arXiv preprint arXiv:2104.10013, 2021
2021
Kinetic theory based multi-level adaptive finite difference WENO schemes for compressible Euler equations
AD Jagtap, R Kumar
Wave Motion, 2020
2020
HIGHER ORDER SCHEME FOR SINE-GORDON EQUATION IN NONLINEAR NON-HOMOGENEOUS MEDIA
AD Jagtap
Hyperbolic Problems: Theory, Numerics, Applications, 465, 2018
2018
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Articles 1–16