Hybrid differential equations: Integrating mechanistic and data-driven techniques for modelling of water systems

Activated sludge models at the crossroad of artificial intelligence—A perspective on advancing process modeling

(2021) Gürkan Sin et al.   npj Clean Water

Advances and opportunities in machine learning for process data analytics

(2019) S. Joe Qin et al.   COMPUTERS & CHEMICAL ENGINEERING

Development of an Extended ASM3 Model for Predicting the Nitrous Oxide Emissions in a Full-Scale Wastewater Treatment Plant

(2018) Kati Blomberg et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Towards improved accuracy in modeling aeration efficiency through understanding bubble size distribution dynamics

(2018) Andreia Amaral et al.   WATER RESEARCH

The promise of artificial intelligence in chemical engineering: Is it here, finally?

(2018) Venkat Venkatasubramanian   AICHE JOURNAL

How well-mixed is well mixed? Hydrodynamic-biokinetic model integration in an aerated tank of a full-scale water resource recovery facility

(2017) Usman Rehman et al.   WATER SCIENCE AND TECHNOLOGY

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Genome-based microbial ecology of anammox granules in a full-scale wastewater treatment system

(2016) Daan R. Speth et al.   Nature Communications

Comparison of a deterministic and a data driven model to describe MBR fouling

(2015) Montserrat Dalmau et al.   CHEMICAL ENGINEERING JOURNAL

The activated sludge ecosystem contains a core community of abundant organisms

(2015) Aaron M Saunders et al.   ISME Journal

Hybrid semi-parametric modeling in process systems engineering: Past, present and future

(2013) Moritz von Stosch et al.   COMPUTERS & CHEMICAL ENGINEERING

Distilling Free-Form Natural Laws from Experimental Data

(2009) Michael Schmidt et al.   SCIENCE