CBE student Aditi Seshadri won the National Science Foundation Graduate Research Fellow - Prestigious honors from the fellowship program that identifies doctoral students likely to achieve a high level of success in their future academic and professional careers.
Aditi Seshadri is a member of the Yue Research Group, which focuses on developing physics-inspired machine learning models and multi-scale simulations of electrolytes and solid/liquid interfaces for energy storage and separations. She works on developing generative machine learning models to design novel electrolytes for energy storage.
Congratulations to the Daniel research group on receiving "Editor's Choice" from the American Chemical Institute for their paper titled Mechanistic Understanding of the Modes of Ca2+ Ion Binding to... Read more about Daniel Research Group Paper Receives Editor's Choice
A new all-dry polymerization technique uses reactive vapors to create thin films with enhanced properties that could lead to improved polymer coatings for microelectronics, advanced batteries and... Read more about ‘Magic’ solvent creates stronger thin films
Data science, molecular mechanisms, unconventional computing for optimization and machine learning, wave interaction with engineered materials, electrocatalysis, and compound semiconductor devices are... Read more about Data science, wave interaction, semiconductors earn engineering research awards
