Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations.
Xing ChenFlavio Abreu AraujoMathieu RiouJacob TorrejonDafine RavelosonaWang KangWeisheng ZhaoJulie GrollierDamien QuerliozPublished in: CoRR (2021)
Keyphrases
- ordinary differential equations
- mathematical modeling
- differential equations
- dynamic systems
- phase space
- partial differential equations
- numerical solution
- numerical integration
- neural network
- mathematical models
- genetic regulatory networks
- biological systems
- gene regulatory networks
- image processing
- markov random field
- level set