Fengqi You

Wrapping up the academic year with our work featured in the @Cornell 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…

Excited to share our work on today's cover of J. Chem. Theory Comput.! @ACSPublications We present a quantum molecular generator to efficiently explore chemical space in the NISQ era. Read more🔗: doi.org/10.1021/acs.jc… #MyACSCover #QuantumComputing #AIforScience #JCTC

Excited to contribute to two global studies this week: 🚗 In @NatureEnergyJnl, segment-based EV tariffs: nature.com/articles/s4156… 🌍 In @NatureGeosci, wood burial as scalable carbon removal—could cut warming by 0.42°C (led by Prof. Yiqi Luo): news.cornell.edu/stories/2025/0…

Proud to see @CornellCIDA fund 15 visionary projects through the 2025 Research Innovation Fund—advancing #AI, biosensing, VR, & sustainable ag. These efforts will also shape our new AI for Digital Ag course this fall. Innovation starts here.👇 news.cornell.edu/stories/2025/0…

📢 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

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…

Researchers @Cornell 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…

🔬📢 Pleased to have our new study featured on the cover of Environmental Science & Technology @EnvSciTech! 🌞 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… 🎨@ACSPublications #MyACSCover #Perovskite

📢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

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

🚨 Another @EnvSciTech 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… @ACSPublications #MyACSCover

🚨 Our latest @EnvSciTech 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… @ACSPublications #MyACSCover #EnergyTransition #Decarbonization

Happy to share our recent work in @PNASNexus! 🚀 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…

🚀 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…

A @CornellEng-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. @ScienceAdvances news.cornell.edu/stories/2025/0…

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

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:

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

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