logo
Loading...
Atomistic Line Graph Neural Network for improved materials property predictions
Engineering and Technologynpj Computational Materials

Atomistic Line Graph Neural Network for improved materials property predictions

K. Choudhary and B. Decost

Explore the cutting-edge research by Kamal Choudhary and Brian DeCost, who have introduced the Atomistic Line Graph Neural Network (ALIGNN). This innovative model enhances atomistic material representation by integrating crucial bond angle information, leading to superior predictions of solid-state and molecular properties across multiple databases.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny