Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Trieste — most-cited papers & profile · AI for Science
← authors
·
overview
Trieste
1
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Conceptual framework for the application of deep neural networks to surface composition reconstruction from Mercury's exospheric data
2025
Top co-authors
Adrian Kazakov (1
· 1
Alessandro Aronica (1
· 1
Alessandro Brin (1
· 1
Alessandro Mura (1
· 1
Anna Milillo (1
· 1
ASI - Italian Space Agency
· 1
Augmented Intelligence Lab
· 1
Christina Plainaki (5
· 1
Elisabetta De Angelis (1
· 1
Fabrizio Nuccilli (1
· 1
Francesco Lazzarotto (4
· 1
INAF-Osservatorio Astronomico di Padova
· 1
Topics
Physics ML
Chemistry
Materials