Schrödinger

For battery research, its Materials Science platform predicts properties such as redox potentials and ion mobility in electrodes, electrolytes and the solid electrolyte interphase. It also maps reaction and degradation pathways and screens candidate materials at high throughput with machine learning. The same tools cover fuel cells, photovoltaics and hydrogen storage.

Schrödinger also runs its own clinical drug programs. In October 2026 it announced research, published in Nature, on new insights into lithium-ion battery chemistry.