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.
Status | Active |
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Effective start/end date | 8/1/24 → 12/31/26 |
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