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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).
meapy provides a clean, tested, and typed API for the core calculations performed when commissioning and evaluating MEA-based carbon capture pilot plants
Project on carbon capture and utilisation with respect to the challenge, "CO2-Waste to Value", organised by ekipa with association with EnBW
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.
A transparent Python calculator for CO2 injection wellbore profiles, CCS/CCUS studies, CoolProp properties, and OPM Flow coupling.
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.
IoT-based portable photobioreactor monitoring system for distributed urban microalgae cultivation — Bangkit Academy capstone project integrating OD sensor data, growth tracking, and carbon capture estimation
Energy, Machine Learning & CFD Analyst
A heterogeneous graph neural network for MOF property prediction that integrates Voronoi-derived pore nodes with atomic frameworks, featuring built-in explainability and an ensemble-based trustworthiness scoring system.
Advanced algorithms for optimizing CO₂ injection and storage in geological formations
Project to learn typescript by applying it to an Direct Air Capture (DAC) system
MILP-based planning of CO₂ capture retrofit under annual hub and cumulative storage constraints.
Bayesian Optimization framework for CO₂ mineralization using ferrochrome steel slag. Bachelor thesis, RWTH Aachen (AVT.SVT), 2025.
The Scalability Tool mathematically simulates CO2 adsorption for a specific adsorbent material in a JEMM Carbon designed bed (structured fixed bed).
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