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Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
Delves into common defects in 2D materials, their impact on transistor characteristics, formation energy, transport behavior, and van der Waals epitaxy.
Delves into the frontiers of nanoscience, exploring the manipulation of atoms, magnetic data storage, semiconductor devices, quantum technology, and the economic impact of the semiconductor industry.
Explores organic electronic materials, focusing on organic field-effect transistors (OFETs) and their operation, characterization, and real-world applications.
