Nicholas Lubbers

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 17

Top Topics

Optimization Strategies

Active Learning

Top Venues

J. Open Source Softw.

J. Comput. Phys.

Nat. Mac. Intell.

Publications

Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, Sakib Matin, Brendan Gifford, Galen T. Craven, Nicholas Lubbers
Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks. CoRR (2024)
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. CoRR (2023)
Javier E. Santos, Zachary R. Fox, Arvind Mohan, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers
Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. 5 (11) (2023)
Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces. ICML (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard A. Messerly, Sergei Tretiak, Justin S. Smith, Benjamin T. Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nat. Comput. Sci. 3 (3) (2023)
Andrew Rohskopf, C. Sievers, Nicholas Lubbers, Mary Alice Cusentnio, James Goff, Jan Janssen, Megan McCarthy, David Montes Oca de Zapiain, Svetoslav Nikolov, Khachik Sargsyan, Dionysios Sema, Ember Sikorski, Logan Williams, Aidan P. Thompson, Mitchell A. Wood
FitSNAP: Atomistic machine learning with LAMMPS. J. Open Source Softw. 8 (83) (2023)
Anastasiia Kim, Sanna Sevanto, Eric R. Moore, Nicholas Lubbers
Latent Dirichlet Allocation modeling of environmental microbiomes. PLoS Comput. Biol. 19 (6) (2023)
Aleksandra Pachalieva, Robert S. Pavel, Javier E. Santos, Abdourahmane Diaw, Nicholas Lubbers, Mohammed Mehana, Jeffrey R. Haack, Hari S. Viswanathan, Daniel Livescu, Timothy C. Germann, Christoph Junghans
GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 7 (80) (2022)
Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
Predictive Scale-Bridging Simulations through Active Learning. CoRR (2022)
Michael Tynes, Wenhao Gao, Daniel J. Burrill, Enrique R. Batista, Danny Perez, Ping Yang, Nicholas Lubbers
Pairwise Difference Regression: A Machine Learning Meta-algorithm for Improved Prediction and Uncertainty Quantification in Chemical Search. J. Chem. Inf. Model. 61 (8) (2021)
Kun Wang, Yu Chen, Mohammed Mehana, Nicholas Lubbers, Kane C. Bennett, Qinjun Kang, Hari S. Viswanathan, Timothy C. Germann
A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media. J. Comput. Phys. 443 (2021)
Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers
Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR (2021)
Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS. CoRR (2020)
Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan
Modeling nanoconfinement effects using active learning. CoRR (2020)
Justin S. Smith, Benjamin Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C. Germann, Saryu Fensin, Kipton Barros
Automated discovery of a robust interatomic potential for aluminum. CoRR (2020)
Justin S. Smith, Ben Nebgen, Nicholas Lubbers, Olexandr Isayev, Adrian E. Roitberg
Less is more: sampling chemical space with active learning. CoRR (2018)
Nicholas Lubbers, Turab Lookman, Kipton Barros
Inferring low-dimensional microstructure representations using convolutional neural networks. CoRR (2016)
Mark W. Coffey, Nicholas Lubbers
On generalized harmonic number sums. Appl. Math. Comput. 217 (2) (2010)