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2008.08162
Cited By

Physics-informed machine learning for the COVID-19 pandemic: Adherence
to social distancing and short-term predictions for eight countries

Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries

18 August 2020

G. D. Barmparis

ArXiv (abs)PDF HTML

Papers citing "Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries"

3 / 3 papers shown

Physics-informed deep learning for infectious disease forecasting

Physics-informed deep learning for infectious disease forecasting

Avranil Basu

383

10

0

16 Jan 2025

A Modified PINN Approach for Identifiable Compartmental Models in
Epidemiology with Applications to COVID-19

A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19

351

16

0

01 Aug 2022

Discovering nonlinear resonances through physics-informed machine
learning

Discovering nonlinear resonances through physics-informed machine learning

G. D. Barmparis

143

3

0

27 Apr 2021

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