Rigorous and robust first principles-based Homogeneous Surface Diffusion Model (HSDM)
is demonstrated for numerical simulation and estimation of surface diffusivities for single …

The application of artificial neural networks on adsorption modeling has significantly
increased during the last decades. These artificial intelligence models have been utilized to …

In this work, ultrasound-modified chitin (UM-chitin) was used to adsorb cobalt (Co 2+),
methylene blue (MB), and nickel (Ni 2+) in single, binary and ternary systems, at different …

This paper investigates multiple methods of machine learning for an application of surrogate
modeling and optimization of an experimentally validated pressure swing adsorption model …

A three-layer feed forward neural network was constructed and tested to analyze the second
order kinetics of solid–liquid adsorption process. The pseudo second order kinetics of …

This paper reports the application of four neural network surrogate models for the correlation
and prediction of asymmetric breakthrough curves obtained from the multi-component …

The efficacy of an adsorbent agnostic machine-learning surrogate model for rapid design
and optimization of a Skarstrom cycle vacuum swing adsorption (VSA) process is …

This manuscript discusses the advantages and limitations of ANNs models for modeling and
predicting multi-component adsorption of heavy metal ions on bone char. In particular, the …

This study presents a systematic machine learning approach for creating efficient hybrid
models and discovering sorption uptake models in non-linear advection-diffusion-sorption …

Neural network computation, a new methodology, the concept of which originated earlier
this century and is also known as parallel distributed processing (PDP), has been …