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Revolutionizing Functional Materials Design with AI

Our latest research combines the power of graph-based machine learning force fields with advanced density functional theory (DFT) to model functional nanoporous graphene structures like never before!

🎯 Key Highlights:
Achieves DFT-level precision for stress-strain predictions
Accurately models phonon dispersion for thermal insights
Remains stable at high temperatures (up to 600 K!)
Reduces computational costs, enabling efficient large-scale molecular dynamics

This breakthrough opens new doors for applications in flexible electronics, nano-sensing, and thermal management materials.

📖 Published in Advanced Functional Materials.
🔗 Read more: https://doi.org/10.1002/adfm.202417891

📊 #Graphene #MachineLearning #Nanotechnology #AI #MaterialScience

 

Meteorologisches Kolloquium

Revolutionizing Functional Materials Design with AI

Our latest research combines the power of graph-based machine learning force fields with advanced density functional theory (DFT) to model functional nanoporous graphene structures like never before!

🎯 Key Highlights:
Achieves DFT-level precision for stress-strain predictions
Accurately models phonon dispersion for thermal insights
Remains stable at high temperatures (up to 600 K!)
Reduces computational costs, enabling efficient large-scale molecular dynamics

This breakthrough opens new doors for applications in flexible electronics, nano-sensing, and thermal management materials.

📖 Published in Advanced Functional Materials.
🔗 Read more: https://doi.org/10.1002/adfm.202417891

📊 #Graphene #MachineLearning #Nanotechnology #AI #MaterialScience

 

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