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"Through this program, we hope to inspire cross-disciplinary collaborations and create actionable solutions that address sustainability challenges in new ways." Prof. Fengqi You, Director of CAISI, helps push AI for Sustainbility Visiting Professorship at Cornell.

Pleased to share our Frontispiece in "Small"! The artwork and review explore GenAI in advancing electrochemical energy storage. ⚡📷 Discover more: onlinelibrary.wiley.com/doi/epdf/10.10…… and doi.org/10.1002/smll.2… #AI #EnergyStorage #Sustainability 📷 🌿

.Fengqi You et al. demonstrate EMGen as a specialized, interpretable AI model for the generation of #ElectronicMaterials and an essential tool for on-demand #SemiconductorMaterials design. Cornell CBE Cornell University Cornell Systems Engineering Shanghai Jiao Tong University Cover Story: go.acs.org/bYi

Pleased to share our article on advancing microplastic analysis with AI is featured as the cover art for Cell Press Nexus, Dec 2024! 🎉 Explore more: cell.com/nexus/issue?pi… 🔬 #Research #AI #Microplastics #CoverArt

Pleased share our article, "Interpretable Surrogate Learning for Electronic Material Generation," is featured as the cover art in ACS Nano's Dec 2024 issue! 🎉 Explore more: pubs.acs.org/cms/10.1021/an… 🔬 #Research #Innovation #ElectronicMaterials #ACSNano

Pleased to share our new paper in Science Advances! We've developed a hybrid quantum-classical AI approach to design peptides that tackle microplastic pollution. Read more: doi.org/10.1126/sciadv… #QuantumComputing #Sustainability #ScienceAdvances

Announcing the recipients of the #AmazonResearchAwards. They will have access to Amazon public datasets, AWS AI/ML services and tools, and opportunities to collaborate with Amazon scientists. Learn more about the recipients and their research projects:

Our work featured on the Front Cover of the Jan 2025 issue of "Energy & Environmental Science"! 🌍🔬 This perspective highlights sustainability strategies for scalable perovskite photovoltaics. Read more: doi.org/10.1039/D4EE03… #Sustainability #RenewableEnergy #PerovskitePV

A Cornell Engineering-led research team has demonstrated how #QuantumComputing and #ArtificialIntelligence can be used to design new peptides capable of capturing microplastics that pose serious risks to ecosystems and human health. Science Advances news.cornell.edu/stories/2025/0…

🚀 Exciting news! Our latest #nature paper introduces a holistic aqueous-based recycling strategy for perovskite photovoltaics, achieving 99% recycling efficiency & cutting resource depletion by 96.6%. 🌱♻️ 🔗 Read more: nature.com/articles/s4158…

Happy to share our recent work in PNAS Nexus! 🚀 We harnessed biophysical modeling, quantum computing, and AI to discover peptides that bind to microplastics—offering a novel bio-based approach to capture and remediate plastic pollution. 🌱♻️ 🔗Read more: doi.org/10.1093/pnasne…

🚨 Our latest Environmental Science & Technology Journals paper is on the April 2025 cover! 🌍✨ We show how AI & crypto can team up through clean energy to cut 0.7 GtCO₂e by 2030. The digital world CAN go green. 💡🌱 🔗 doi.org/10.1021/acs.es… ACS Publications #MyACSCover #EnergyTransition #Decarbonization

🚨 Another Environmental Science & Technology Journals cover for April 2025! 🌍 We reveal how lithium mining impacts are unevenly distributed across global supply chains, calling for spatially explicit analysis & global cooperation. ♻️ Our recent cover: x.com/Fengqi_You/sta… ACS Publications #MyACSCover

Excited to share our new paper in Nature Computational Science! We explore how generative AI models and PIIRs can transform inverse design of crystalline materials. 📄 nature.com/articles/s4358… #AI #MaterialsScience #GenerativeModels #CrystallineMaterials #InverseDesign

📢Out now! Fengqi You and Zhilong Wang discuss the challenges and opportunities for implementing generative models in the inverse design of functional crystalline materials. nature.com/articles/s4358… 🔓rdcu.be/elnOM

Wrapping up the academic year with our work featured in the Cornell University Chronicle 😃! From launching a new “#AIforMaterials” course to advancing fast, physics-informed AI for materials discovery—exciting steps toward #AIforScience. news.cornell.edu/stories/2025/0…

🔬📢 Pleased to have our new study featured on the cover of Environmental Science & Technology Environmental Science & Technology Journals! 🌞 We show that transitioning to all-perovskite tandem PVs can cut carbon emissions by 16.2% by 2050. 🔗 pubs.acs.org/doi/10.1021/ac… 🎨ACS Publications #MyACSCover #Perovskite

Researchers Cornell University are demonstrating how artificial intelligence – particularly deep-learning and generative modeling – can accelerate the design of new molecules and materials, and even function as an autonomous research assistant. Fengqi You news.cornell.edu/stories/2025/0…

Our work on AI for materials discovery is featured on the cover of the May 2025 Issue of #NatureComputationalScience! 🎉 Congrats to Zhilong, and thanks to the editors for the recognition! 🔗nature.com/natcomputsci/v… #AI #MaterialsScience x.com/NatComputSci/s…

📢 New paper in #AdvancedScience! "Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis" 💡 KD boosts GNN efficiency for QM & experimental tasks 🎉 Featured as June 2025 #Frontispiece! 🔗 doi.org/10.1002/advs.2… #AI #Cheminformatics