ππ€ Pleased to share our new Cornell Chronicle story on two complementary studies using AI + chemistry to expand battery electrolyte design published in @ScienceAdvances and @NatureComms . β‘π§ͺ
Link:
Professor @Cornell (energy systems | sustainability | optimization & deep learning | control & automation | systems engineering | AI for Sustainability)
- Congratulations to the 13 Cornell students earning 2026 CIDA RIF summer awards. Their cross-disciplinary research using AI, data science, and engineering will help shape the future of sustainable agriculture. Details on the cohort:
- π¬ Our new @ScienceAdvances paper presents EMSeek, an autonomous AI platform that connects electron microscopy to segmentation, structure reconstruction, property prediction, and literature-grounded analysis, in minutes. π π science.org/doi/10.1126/scβ¦ News: news.cornell.edu/stories/2026/0β¦
- Excited to share our latest work in "Nature Computational Science" @NatComputSci : An interpretable AI framework that maps 11M+ electrolyte systems and uncovers the chemistry behind high ionic conductivity ππ€π§ͺ Story: news.cornell.edu/stories/2026/0β¦ Paper: nature.com/articles/s4358β¦
- Our new paper in #NatureCommunications: we map targeted transition strategies to align EU energy security and climate mitigation, highlighting where renewables-powered electrification and green hydrogen can most effectively cut natural gas dependence.


