Skip to main navigation
Skip to search
Skip to main content
Northwestern Scholars Home
Help & FAQ
Home
Experts
Organizations
Research Output
Grants
Core Facilities
Research Data
Search by expertise, name or affiliation
Artificial Intelligence (AI) - Assisted Hybrid Renewable Energy, Nutrient, and Water Recovery from Municipal Wastewater
Wells, George
(PD/PI)
Wells, George
(PD/PI)
Dunn, Jennifer B
(Co-PD/PI)
Dunn, Jennifer B
(Co-PD/PI)
Chemical and Biological Engineering
Civil and Environmental Engineering
Project
:
Research project
Overview
Fingerprint
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Municipal Wastewater
100%
Renewable Energy Recovery
100%
Renewable Water
100%
Hybrid Renewable Energy System
100%
Nutrient Recovery
100%
Water Recovery
100%
Artificial Intelligence
100%
Life Cycle Assessment Analysis
50%
Technology Integration
50%
Two-stage Bioprocess
50%
CANDO
50%
Nutrient Removal
50%
Energy Recovery
50%
P Recovery
50%
Argonne National Laboratory
50%
Process Control
50%
Wastewater
50%
Control Test
50%
Techno-economic
50%
University of Chicago
50%
Chemical Engineering
Artificial Intelligence
100%
Municipal Wastewater
100%
Process Control
50%
Nutrient Removal
50%