Lujain Alkhammash

Energy Transition Specialization · Cohort 2026

Data Driven Understanding of Hard Carbon Development for Sodium Ion Batteries

This project develops a validated, data driven workflow to support the development of hard carbon anodes for sodium ion batteries. The work combines scientific literature mining with 3D modelling of disordered porous carbon structures. A literature extraction pipeline was developed and validated using a manually curated benchmark of 582 experimental records from 60 biochar publications. The final pipeline produced 521 source linked records and recovered 306 of 351 benchmark rows within the represented papers, corresponding to 87.18% recovery. Numerical agreement was very high, with 305 of 306 matched records reproducing all comparable elemental values within 0.02 wt%. In parallel, atomistic carbon models were visualized and 3D printed to examine pore size, stacking, density, and connectivity. Future work will adapt the validated pipeline to hard carbon specific variables and extend it to analyse scientific figures and plots, including capacity and electrochemical performance trends across a much larger literature dataset.

Read the final report (PDF)