Design Optimization of Graphene-based materials and devices with computational and Machine Learning approaches (DOG-ML)

Project: Government

Project Details

Project Description

Our proposal integrates machine learning with molecular dynamics to optimize graphene-based materials and devices, known for their exceptional properties. These properties can be influenced by factors like defects and doping. By enhancing our ability to tune these properties, our research could significantly impact technologies for water treatment, gas separation, supercapacitors, and thermal management in electronics. The outcomes promise advancements in efficiency and sustainability, contributing to critical technologies with broad societal and economic benefits.
StatusActive
Effective start/end date8/1/2412/31/26

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