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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.

A transparent Python calculator for CO2 injection wellbore profiles, CCS/CCUS studies, CoolProp properties, and OPM Flow coupling.

PPO-LSTM agent replacing PID control on a simulated MEA CO2-capture plant, using a neural surrogate for real-time control.

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 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.

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

Moving-bed TVSA digital twin for Direct Air Capture — couples continuous sorbent physics (Toth isotherm, LDF kinetics) with a SimPy discrete-event plant model to simulate batch-continuous CO2 capture, bottlenecks, and climate-robust control.

Coal Combustion & CO2 Capture Process Simulation — MATLAB, HTU/NTU absorber sizing, MEA solvent, DWSIM validation (CHE251, IITK)

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

MILP-based planning of CO₂ capture retrofit under annual hub and cumulative storage constraints.

Segmentação de espaço poroso em micro-CT de rochas-reservatório (Digital Rock Physics): U-Net, datasets reais do pré-sal e arenitos, comparação com foundation model SAM2-UNet e validação de porosidade contra laboratório.