Make continuous reforestation part of your daily workflow 🌳
Survey of all published Carbon Capture ML papers, data, code and supplemental materials for the benefit of all humanity
Online maptool that provides novel decision-support capabilities for evaluating carbon capture, utilization and storage technologies (CCUS).
Project on carbon capture and utilisation with respect to the challenge, "CO2-Waste to Value", organised by ekipa with association with EnBW
🌍 Optimize CO₂ storage in geological formations using advanced algorithms for safe and efficient carbon dioxide injection and management.
Microalgal growth simulation for CO₂ capture estimation. Monod kinetics, Steele photoinhibition, and CTMI temperature modeling for Chlorella vulgaris under Surat, India's tropical climate.
meapy provides a clean, tested, and typed API for the core calculations performed when commissioning and evaluating MEA-based carbon capture pilot plants
A collection of Python code used for carbon dioxide adsorption analysis
Python analysis of CO₂ adsorption on solid sorbents, relevant to post-combustion carbon capture. Covers isotherm fitting, breakthrough curve modelling, and cyclic regeneration analysis.
Decision-support tool comparing CCS retrofits vs. electrification for hard-to-abate industries (steel, cement, chemicals) on cost, abatement, jobs, and timeline. Built for the Laidlaw Scholars Industrial Transitions project.
Energy, Machine Learning & CFD Analyst
MILP-based planning of CO₂ capture retrofit under annual hub and cumulative storage constraints.
Zero-parameter algebraic prediction engine based on PHI. D-space transforms, sum-rule validation, 53 physics constants, and carbon capture modelling. Zero core dependencies.
Project to learn typescript by applying it to an Direct Air Capture (DAC) system
Advanced algorithms for optimizing CO₂ injection and storage in geological formations
The Scalability Tool mathematically simulates CO2 adsorption for a specific adsorbent material in a JEMM Carbon designed bed (structured fixed bed).
Bayesian Optimization framework for CO₂ mineralization using ferrochrome steel slag. Bachelor thesis, RWTH Aachen (AVT.SVT), 2025.
Add a description, image, and links to the carbon-capture topic page so that developers can more easily learn about it.
To associate your repository with the carbon-capture topic, visit your repo's landing page and select "manage topics."