Building AI for Microbial Electrochemical Systems
We're Creating the First ML Platform for MESS Research and Development
What We're Building
Research Database
Curating papers for ML training (target: 4,000+)
Prediction Models
Developing AI to predict system performance
Design Tools
Creating 3D interfaces for system optimization
Why We Need You
As an early pioneer, you'll help us:
- Identify which features matter most to researchers
- Validate our ML models with real experimental data
- Shape the platform's development roadmap
- Build the training dataset together
What's Available Now
Early access to platform development
Direct input on feature priorities
Founding member status
Help define industry standards
Research Tools in Development
Interactive demonstrations showcasing our approach to MES system modeling. These tools need validation from researchers like you to become truly useful.
Biological Systems
Photosynthetic Calculator
Current capabilities:
- • Light intensity to current density modeling
- • Cyanobacterial parameter calculations
- • Quantum efficiency estimations
Researcher Input Needed:
- • Experimental light response curves
- • Species-specific photosystem data
- • Validation with real photoMFC data
Biofilm Patterning
Current capabilities:
- • Growth pattern prediction
- • Surface coverage modeling
- • Thickness distribution analysis
Researcher Input Needed:
- • Time-lapse biofilm growth data
- • Surface interaction parameters
- • Environmental condition effects
Electrochemical Performance
Biosensor Design
Current capabilities:
- • Signal-to-noise ratio calculations
- • Sensitivity optimization modeling
- • Detection limit estimations
Researcher Input Needed:
- • Real biosensor response data
- • Interference studies
- • Field testing results
Anaerobic Systems
Current capabilities:
- • Iron-cycle MFC modeling
- • Anaerobic metabolism calculations
- • Redox potential analysis
Researcher Input Needed:
- • Anaerobic culture performance data
- • Iron speciation measurements
- • Long-term stability studies
Engineering & Design
Fixed Bed Calculator
Current capabilities:
- • Korth's packing model implementation
- • Mass transport calculations
- • Pressure drop predictions
Researcher Input Needed:
- • Packed bed performance data
- • Material property validation
- • Flow distribution measurements
Analysis & Data
Offline Parameters
Current capabilities:
- • MES parameter database browsing
- • Literature value referencing
- • Parameter range visualization
Researcher Input Needed:
- • Experimental parameter values
- • Operating condition ranges
- • Parameter correlation validation
Our Commitment
Free core features for academics
You choose what data to share
Open about our progress