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.
Python analysis of CO₂ adsorption on solid sorbents, relevant to post-combustion carbon capture. Covers isotherm fitting, breakthrough curve modelling, and cyclic regeneration analysis.
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
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.
Zero-parameter algebraic prediction engine based on PHI. D-space transforms, sum-rule validation, 53 physics constants, and carbon capture modelling. Zero core dependencies.
Energy, Machine Learning & CFD Analyst
Project to learn typescript by applying it to an Direct Air Capture (DAC) system
The Scalability Tool mathematically simulates CO2 adsorption for a specific adsorbent material in a JEMM Carbon designed bed (structured fixed bed).
Advanced algorithms for optimizing CO₂ injection and storage in geological formations
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