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Marios Mattheakis

First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces

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Nov 20, 2022
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Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

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Nov 01, 2022
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RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization

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Jul 12, 2022
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Physics-Informed Neural Networks for Quantum Eigenvalue Problems

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Feb 24, 2022
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One-Shot Transfer Learning of Physics-Informed Neural Networks

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Oct 21, 2021
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Modeling the effect of the vaccination campaign on the Covid-19 pandemic

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Aug 27, 2021
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Unsupervised Reservoir Computing for Solving Ordinary Differential Equations

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Aug 25, 2021
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Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems

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Jul 16, 2021
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Encoding Involutory Invariance in Neural Networks

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Jun 07, 2021
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A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function

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Jan 15, 2021
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