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
Nicholas Lubbers — most-cited papers & profile · AI for Science
← authors
·
overview
Nicholas Lubbers
8
papers ·
1
citations ·
34
h-index
Los Alamos National Laboratory · Statistical Service · Artificial Intelligence in Medicine (Canada)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Meta-Learning Linear Models for Molecular Property Prediction
2025 · 1 citations
Knowledge Distillation of Noisy Force Labels for Improved Coarse-Grained Force Fields
2025
Enhancing Molecular Dipole Moment Prediction with Multitask Machine Learning
2025
Hierarchical modeling of molecular energies using a deep neural network
2017
Less is more: sampling chemical space with active learning
2018
Automated discovery of a robust interatomic potential for aluminum
2020
Machine Learning of consistent thermodynamic models using automatic differentiation
2021
Top co-authors
Justin S. Smith
· 3
Kipton Barros
· 3
Sergei Tretiak
· 2
Adrian E. Roitberg
· 1
Aleksandra Pachalieva
· 1
Alice Allen
· 1
and Emily Shinkle
· 1
Anders M. N. Niklasson
· 1
and Maksim Kulichenko
· 1
Benjamin Nebgen
· 1
Ben Nebgen
· 1
David Rosenberger
· 1
Topics
Chemistry
Materials
Physics ML
Drug Discovery