Tools for treatment high res mass spectrum of natural organic matter samples
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Updated
Aug 4, 2023 - Jupyter Notebook
Tools for treatment high res mass spectrum of natural organic matter samples
Molecular models of woody biochars at HTT 400C, 600C and 800C; and a collection of experimental property datasets for woody biochars
Kinetic parameter estimation of thermogravimetric data.
An attempt to design a carbon dioxide removal project to fight climate change. A way to mitigate the damage, fix the atmosphere, and feed the world for free in the process.
Physics-informed machine learning and cheminformatics workflow for predicting biochar adsorption capacity of organic water contaminants using RDKit descriptors, molecular fingerprints, ChemBERTa embeddings, and a Streamlit research app.
Cross-Framework Biochar Carbon Removal Evaluation Engine
Files for static website on biochar systems, available at https://biochar.systems/
2,4-D adsorption on biochar: molecular dynamics study
Three-stage water pre-treatment column for a Mars habitat: bioremediated regolith, pyrolysis biochar, and live sensor telemetry. Bench-built and measured
Porous biochar molcular models created with Virtual Atom approach, representative of woody biochars produced at 600-650C.
A Python simulation of the Yacouba Loop — combining Zaï pits, biochar, and managed grazing to halt desertification in the Sahel.
Atomistic models and GROMACS files for Mn(II) interactions with wood- and straw-derived biochars
Codex skill for writing publishable SCI papers on soil amendment/modification research (biochar, lime, organic amendments, soil remediation)
Transparent engineering models and curated data for biomass thermochemical conversion, biochar, syngas, heat generation, residence-time effects, and screening-level process assessment.
Code, data, and reproducible results for endpoint-aligned evaluation of biochar adsorption models.
Open-source decentralized biochar drinking-water filter with IoT sensorization for rural Ecuador. UNICEF Venture Fund — Climate Ventures × Health 2026.
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