Falling Walls Pitch in Berlin

I presented my research on materials for hydrogen storage. An ideal material might behave like a kitchen sponge: porous, lightweight and flexible. A porous framework can take up hydrogen in its internal pores and retain it through host–guest interactions. Changes in pressure or temperature can then help release the gas.

I am developing machine-learning models to predict synthesis conditions for flexible porous materials. The models learn from scientific literature and structure–synthesis datasets. The aim is to reduce trial-and-error experiments and identify materials that can be made and scaled for hydrogen storage.

The next phase of materials discovery is synthesis planning and scale-up, not just prediction.