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Efficient hybrid modeling and sorption model discovery for non-linear
  advection-diffusion-sorption systems: A systematic scientific machine
  learning approach

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach

22 March 2023
Vinícius V. Santana
É. Costa
C. Rebello
A. M. Ribeiro
Chris Rackauckas
Idelfonso B. R. Nogueira
ArXivPDFHTML

Papers citing "Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach"

2 / 2 papers shown
Title
Neural Astrophysical Wind Models
Neural Astrophysical Wind Models
Dustin D. Nguyen
18
2
0
20 Jun 2023
Data-Centric Engineering: integrating simulation, machine learning and
  statistics. Challenges and Opportunities
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Indranil Pan
L. Mason
Omar K. Matar
AI4CE
44
45
0
07 Nov 2021
1