Kipton Barros - RankMe

15 papers Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Projected Hessian Learning: Fast Curvature Supervision for Accurate Machine-Learning Interatomic Potentials. CoRR Austin Rodriguez, Justin S. Smith, Sakib Matin, Nicholas Lubbers, Kipton Barros, Jose L. Mendoza-Cortes
2025	J	`jnl`	Ensemble Knowledge Distillation for Machine Learning Interatomic Potentials. CoRR Sakib Matin, Emily Shinkle, Yulia Pimonova, Galen T. Craven, Aleksandra Pachalieva, Ying Wai Li, Kipton Barros, Nicholas Lubbers
2025	J	`jnl`	Multi-fidelity learning for interatomic potentials: low-level forces and high-level energies are all you need Mach. Learn. Sci. Technol. Mitchell Messerly, Sakib Matin, Alice E. A. Allen, Benjamin T. Nebgen, Kipton Barros, Justin S. Smith, Nicholas Lubbers, Richard A. Messerly
2025	J	`jnl`	Sunny.jl: A Julia Package for Spin Dynamics. J. Open Source Softw. David Dahlbom, Hao Zhang, Cole Miles, Sam Quinn, Alin Niraula, Bhushan Thipe, Matthew Wilson, Sakib Matin, Het Mankad, Steven Hahn, Daniel Pajerowski, Steve Johnston, Zhentao Wang, Harry Lane, Ying Wai Li, Xiaojian Bai, Martin Mourigal, Cristian D. Batista, Kipton Barros
2025	—	`conf`	Unveiling Process-Structure Mapping with a Deep Variational Autoencoder. ICCVW Avanish Mishra, Brenden William Hamilton, Mashroor Shafat Nitol, Nithin Mathew, Kipton Barros, Timothy C. Germann, Saryu Fensin
2023	J	`jnl`	Uncertainty-driven dynamics for active learning of interatomic potentials. Nat. Comput. Sci. Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard A. Messerly, Sergei Tretiak, Justin S. Smith, Benjamin T. Nebgen
2021	J	`jnl`	Machine-learning Kondo physics using variational autoencoders. CoRR Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik
2020	J	`jnl`	Automated discovery of a robust interatomic potential for aluminum. CoRR Justin S. Smith, Benjamin T. Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C. Germann, Saryu Fensin, Kipton Barros
2017	—	`conf`	A Case Study in Computational Caching Microservices for HPC. IPDPS Workshops John Jenkins, Galen M. Shipman, Jamaludin Mohd-Yusof, Kipton Barros, Philip H. Carns, Robert B. Ross
2016	J	`jnl`	Inferring low-dimensional microstructure representations using convolutional neural networks. CoRR Nicholas Lubbers, Turab Lookman, Kipton Barros
2016	J	`jnl`	Learning Potential Energy Landscapes using Graph Kernels. CoRR Grégoire Ferré, Terry Haut, Kipton Barros
2015	J	`jnl`	Comparison of efficient techniques for the simulation of dielectric objects in electrolytes. J. Comput. Phys. Zecheng Gan, Huanxin Wu, Kipton Barros, Zhenli Xu, Erik Luijten
2015	J	`jnl`	Distributed Database Kriging for Adaptive Sampling (D Comput. Phys. Commun. Dominic Roehm, Robert S. Pavel, Kipton Barros, Bertrand Rouet-Leduc, Allen L. McPherson, Timothy C. Germann, Christoph Junghans
2014	J	`jnl`	Spatial adaptive sampling in multiscale simulation. Comput. Phys. Commun. Bertrand Rouet-Leduc, Kipton Barros, Emmanuel Cieren, Venmugil Elango, Christoph Junghans, Turab Lookman, Jamaludin Mohd-Yusof, Robert S. Pavel, Axel Y. Rivera, Dominic Roehm, Allen L. McPherson, Timothy C. Germann
2010	J	`jnl`	Solving lattice QCD systems of equations using mixed precision solvers on GPUs. Comput. Phys. Commun. Michael A. Clark, Ronald Babich, Kipton Barros, Richard C. Brower, Claudio Rebbi