Kipton Barros - Publications, H-index & Citations

Kipton Barros

los alamos national laboratory, theoretical division, los alamos, new mexico, usa

32H指数

225论文数

4.9K被引数

收录论文 58

发表时间

Multi-fidelity learning for interatomic potentials: low-level forces and high-level energies are all you need*多 fidelity 学习用于原子间势能：低级力和高级能量就是你所需要的*

Machine Learning: Science and Technology

IF0

2025-09-29

OAAI

Mitchell Messerly; Sakib Matin; Alice E A Allen; Benjamin Nebgen; Kipton Barros; Justin S Smith; Nicholas Lubbers; Richard Messerly

Teacher-student training improves the accuracy and efficiency of machine learning interatomic potentials 师生训练提高了机器学习原子间势能的准确性和效率。

Digital Discovery

IF5.6

2025-08-07

OAAI

Sakib Matin; Alice E. A. Allen; Emily Shinkle; Aleksandra Pachalieva; Galen T. Craven; Benjamin Nebgen; Justin S. Smith; Richard Messerly; Ying Wai Li; Sergei Tretiak; Kipton Barros; Nicholas Lubbers

Electric field driven spin textures in heavy fermion van der Waals magnets

PHYSICAL REVIEW B

IF3.7

2025-03-04

PREAI

Vijayvargia, Aayush; Zhang, Hao; Barros, Kipton; Lin, Shi-Zeng; Erten, Onur

Classical dynamics of the antiferromagnetic Heisenberg S=12 spin ladder

PHYSICAL REVIEW B

IF3.7

2024-09-03

PREAI

Dahlbom, David A.; Thomas, Jinu; Johnston, Steven; Barros, Kipton; Batista, Cristian D.

Learning together: Towards foundation models for machine learning interatomic potentials with meta-learning 共同学习: 通过元学习建立机器学习的原子间势的基础模型

NPJ COMPUTATIONAL MATERIALS

IF11.9

2024-07-17

OAAI

Allen, Alice E. A.; Lubbers, Nicholas; Matin, Sakib; Smith, Justin; Messerly, Richard; Tretiak, Sergei; Barros, Kipton

Cubic double perovskites host noncoplanar spin textures 立方双钙钛矿宿主非共面自旋纹理

NPJ QUANTUM MATERIALS

IF6.2

2024-06-06

OAAI

Paddison, Joseph A. M.; Zhang, Hao; Yan, Jiaqiang; Cliffe, Matthew J.; McGuire, Michael A.; Do, Seung-Hwan; Gao, Shang; Stone, Matthew B.; Dahlbom, David; Barros, Kipton; Batista, Cristian D.; Christianson, Andrew D.

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential 探索具有一般反应性机器学习潜力的凝聚相化学的前沿

NATURE CHEMISTRY

IF20.2

2024-03-07

OAAI

Zhang, Shuhao; Makos, Malgorzata Z.; Jadrich, Ryan B.; Kraka, Elfi; Barros, Kipton; Nebgen, Benjamin T.; Tretiak, Sergei; Isayev, Olexandr; Lubbers, Nicholas; Messerly, Richard A.; Smith, Justin S.

Active learning approach to simulations of strongly correlated matter with the ghost Gutzwiller approximation

PHYSICAL REVIEW RESEARCH

IF4.2

2024-03-05

OAAI

Frank, Marius S.; Artiukhin, Denis G.; Lee, Tsung-Han; Yao, Yongxin; Barros, Kipton; Christiansen, Ove; Lanata, Nicola

Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to Experiment

JOURNAL OF CHEMICAL THEORY AND COMPUTATION

IF5.5

2024-02-02

OAAI

Matin, Sakib; Allen, Alice E. A.; Smith, Justin; Lubbers, Nicholas; Jadrich, Ryan B.; Messerly, Richard; Nebgen, Benjamin; Li, Ying Wai; Tretiak, Sergei; Barros, Kipton

Quantum-to-classical crossover in generalized spin systems: Temperature-dependent spin dynamics of FeI2

PHYSICAL REVIEW B

IF3.7

2024-01-26

OAAI

Dahlbom, D.; Brooks, F. T.; Wilson, M. S.; Chi, S.; Kolesnikov, A. I.; Stone, M. B.; Cao, H.; Li, Y. -w.; Barros, K.; Mourigal, M.; Batista, C. D.; Bai, X.

Machine Learning Framework for Modeling Exciton Polaritons in Molecular Materials

JOURNAL OF CHEMICAL THEORY AND COMPUTATION

IF5.5

2024-01-03

OAAI

Li, Xinyang; Lubbers, Nicholas; Tretiak, Sergei; Barros, Kipton; Zhang, Yu

Synergy of semiempirical models and machine learning in computational chemistry 计算化学中半经验模型和机器学习的协同作用

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2023-09-15

OAAI

Fedik, Nikita; Nebgen, Benjamin; Lubbers, Nicholas; Barros, Kipton; Kulichenko, Maksim; Li, Ying Wai; Zubatyuk, Roman; Messerly, Richard; Isayev, Olexandr; Tretiak, Sergei

CP2 skyrmions and skyrmion crystals in realistic quantum magnets

NATURE COMMUNICATIONS

IF15.7

2023-06-19

OAAI

Zhang, Hao; Wang, Zhentao; Dahlbom, David; Barros, Kipton; Batista, Cristian D.

Semi-Empirical Shadow Molecular Dynamics: A PyTorch Implementation

JOURNAL OF CHEMICAL THEORY AND COMPUTATION

IF5.5

2023-05-10

OAAI

Kulichenko, Maksim; Barros, Kipton; Lubbers, Nicholas; Fedik, Nikita; Zhou, Guoqing; Tretiak, Sergei; Nebgen, Benjamin; Niklasson, Anders M. N.

Lightweight and effective tensor sensitivity for atomistic neural networks

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2023-05-09

OAAI

Chigaev, Michael; Smith, Justin S. S.; Anaya, Steven; Nebgen, Benjamin; Bettencourt, Matthew; Barros, Kipton; Lubbers, Nicholas

Charge order in the kagome lattice Holstein model: a hybrid Monte Carlo study

NPJ QUANTUM MATERIALS

IF6.2

2023-05-06

OAAI

Bradley, Owen; Cohen-Stead, Benjamin; Johnston, Steven; Barros, Kipton; Scalettar, Richard T.

Field-induced spin level crossings within a quasi-XY antiferromagnetic state in Ba2FeSi2O7

PHYSICAL REVIEW B

IF3.7

2023-04-21

OAAI

Lee, Minseong; Schoenemann, Rico; Zhang, Hao; Dahlbom, David; Jang, Tae-Hwan; Do, Seung-Hwan; Christianson, Andrew D.; Cheong, Sang-Wook; Park, Jae-Hoon; Brosha, Eric; Jaime, Marcelo; Barros, Kipton; Batista, Cristian D.; Zapf, Vivien S.

A hybrid Monte Carlo study of bond-stretching electron-phonon interactions and charge order in BaBiO3

NPJ COMPUTATIONAL MATERIALS

IF11.9

2023-03-24

OAAI

Cohen-Stead, Benjamin; Barros, Kipton; Scalettar, Richard; Johnston, Steven

Uncertainty-driven dynamics for active learning of interatomic potentials 用于主动学习原子间势的不确定性驱动动力学

NATURE COMPUTATIONAL SCIENCE

IF18.3

2023-03-06

OAAI

Kulichenko, Maksim; Barros, Kipton; Lubbers, Nicholas; Li, Ying Wai; Messerly, Richard; Tretiak, Sergei; Smith, Justin S.; Nebgen, Benjamin

Understanding temperature-dependent SU(3) spin dynamics in the S=1 antiferromagnet Ba2FeSi2O7

NPJ QUANTUM MATERIALS

IF6.2

2023-01-12

OAAI

Do, Seung-Hwan; Zhang, Hao; Dahlbom, David A.; Williams, Travis J.; Garlea, V. Ovidiu; Hong, Tao; Jang, Tae-Hwan; Cheong, Sang-Wook; Park, Jae-Hoon; Barros, Kipton; Batista, Cristian D.; Christianson, Andrew D.

研究方向