Fengqi You
@Fengqi_You
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Professor @Cornell (energy systems | sustainability | optimization & deep learning | control & automation | systems engineering | AI for Sustainability)
New York
Joined November 2014
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🔗: #MyACSCover #QuantumComputing #AIforScience #JCTC
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Excited to contribute to two global studies this week:. 🚗 In @NatureEnergyJnl, segment-based EV tariffs: 🌍 In @NatureGeosci, wood burial as scalable carbon removal—could cut warming by 0.42°C (led by Prof. Yiqi Luo):
news.cornell.edu
Researchers project that burying the wood debris from managed forests could reduce global warming up to 0.76 degrees Fahrenheit by 2100.
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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
The Cornell Institute for Digital Agriculture has announced the recipients of its 2025 Research Innovation Fund faculty and student grants supporting new, cross-disciplinary projects designed to...
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📢 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!.🔗 #AI #Cheminformatics
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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!. 🔗 #AI #MaterialsScience .
📢Out now! @Fengqi_You and Zhilong Wang discuss the challenges and opportunities for implementing generative models in the inverse design of functional crystalline materials. 🔓
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RT @CornellNews: Researchers @Cornell are demonstrating how artificial intelligence – particularly deep-learning and generative modeling –….
news.cornell.edu
Cornell researchers are demonstrating how artificial intelligence – particularly deep learning and generative modeling – can accelerate the design of new molecules and materials, and even function as...
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🔬📢 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. 🔗 🎨@ACSPublications #MyACSCover #Perovskite
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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
Cornell researchers are demonstrating how artificial intelligence – particularly deep learning and generative modeling – can accelerate the design of new molecules and materials, and even function as...
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RT @NatComputSci: 📢Out now! @Fengqi_You and Zhilong Wang discuss the challenges and opportunities for implementing generative models in the….
nature.com
Nature Computational Science - The inverse design of functional crystalline materials via generative models is a rapidly growing field, but one that faces challenges in representation and...
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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. 📄 #AI #MaterialsScience #GenerativeModels #CrystallineMaterials #InverseDesign.
nature.com
Nature Computational Science - The inverse design of functional crystalline materials via generative models is a rapidly growing field, but one that faces challenges in representation and...
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🚨 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: @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. 💡🌱.🔗 @ACSPublications #MyACSCover #EnergyTransition #Decarbonization
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🚨 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. 💡🌱.🔗 @ACSPublications #MyACSCover #EnergyTransition #Decarbonization
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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:
academic.oup.com
Abstract. Methods are needed to mitigate microplastic (MP) pollution to minimize their harm to the environment and human health. Given the ability of polyp
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🚀 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
Nature - A recycling strategy based predominantly on the use of water to restore and reuse valuable components from perovskite photovoltaic waste is described, with recycled devices showing similar...
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RT @CornellNews: A @CornellEng-led research team has demonstrated how #QuantumComputing and #ArtificialIntelligence can be used to design n….
news.cornell.edu
A research team led by Cornell has demonstrated how quantum computing and artificial intelligence can be used to design new peptides capable of capturing microplastics that pose serious risks to...
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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: #Sustainability #RenewableEnergy #PerovskitePV
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RT @AmazonScience: Announcing the recipients of the #AmazonResearchAwards. They will have access to Amazon public datasets, AWS AI/ML servi….
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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: . #QuantumComputing #Sustainability #ScienceAdvances.
science.org
Plastic-binding peptides that can serve as microplastic remediation tools are designed with a quantum computer.
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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: 🔬 #Research #Innovation #ElectronicMaterials #ACSNano
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Pleased to share our article on advancing microplastic analysis with AI is featured as the cover art for @CellPressNews Nexus, Dec 2024! 🎉 Explore more: 🔬 #Research #AI #Microplastics #CoverArt
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