Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Roman Zubatyuk

Showing results (1-10 of 22) with videos related to

Pageof 3
Sort By:
Chemical Science|May 9, 2025
AIMNet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needsDylan M Anstine, Roman Zubatyuk, Olexandr Isayev
Science Advances|August 27, 2019
Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural networkRoman Zubatyuk, Justin S Smith, Jerzy Leszczynski, et al.
Journal of Chemical Theory and Computation|April 24, 2025
ANI-1xBB: An ANI-Based Reactive Potential for Small Organic MoleculesShuhao Zhang, Roman Zubatyuk, Yinuo Yang, et al.
Journal of Molecular Modeling|September 27, 2017
d(A)<sub>3</sub>d(T)<sub>3</sub> and d(G)<sub>3</sub>d(C)<sub>3</sub> B-DNA mini-helixes: the DFT/M06-2x and DFT/B97-D3 comparison of geometrical and energetic characteristicsLeonid Gorb, Tatiana A Zubatiuk, Roman Zubatyuk, et al.
Nature Communications|December 3, 2021
Artificial intelligence-enhanced quantum chemical method with broad applicabilityPeikun Zheng, Roman Zubatyuk, Wei Wu, et al.
Journal of Chemical Theory and Computation|February 14, 2026
AIQM3: Targeting Coupled-Cluster Accuracy with Semi-Empirical Speed across Seven Main-Group ElementsYuxinxin Chen, Yi-Fan Hou, Roman Zubatyuk, et al.
Nature Communications|August 12, 2021
Teaching a neural network to attach and detach electrons from moleculesRoman Zubatyuk, Justin S Smith, Benjamin T Nebgen, et al.
Acta Crystallographica. Section E, Structure Reports Online|November 6, 2012
Tetra-kis(μ(2)-cyanido-κ(2)C:N)dicyanido-tetra-kis-[tris-(2-amino-eth-yl)amine-κ(3)N,N',N'',N''']tetra-copper(II)iron(II) bis[pentacyanidonitrosoferrate(II)] hexahydrateOlesia V Kozachuk, Julia A Rusanova, Oksana V Nesterova, et al.
Journal of Chemical Theory and Computation|June 17, 2020
Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and HalogensChristian Devereux, Justin S Smith, Kate K Huddleston, et al.
Angewandte Chemie (International Ed. in English)|December 16, 2025
AIMNet2-NSE: A Transferable Reactive Neural Network Potential for Open-Shell ChemistryBhupalee Kalita, Roman Zubatyuk, Dylan M Anstine, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Chemical Science|May 9, 2025
AIMNet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needsDylan M Anstine, Roman Zubatyuk, Olexandr Isayev
Science Advances|August 27, 2019
Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural networkRoman Zubatyuk, Justin S Smith, Jerzy Leszczynski, et al.
Journal of Chemical Theory and Computation|April 24, 2025
ANI-1xBB: An ANI-Based Reactive Potential for Small Organic MoleculesShuhao Zhang, Roman Zubatyuk, Yinuo Yang, et al.
Journal of Molecular Modeling|September 27, 2017
d(A)<sub>3</sub>d(T)<sub>3</sub> and d(G)<sub>3</sub>d(C)<sub>3</sub> B-DNA mini-helixes: the DFT/M06-2x and DFT/B97-D3 comparison of geometrical and energetic characteristicsLeonid Gorb, Tatiana A Zubatiuk, Roman Zubatyuk, et al.
Nature Communications|December 3, 2021
Artificial intelligence-enhanced quantum chemical method with broad applicabilityPeikun Zheng, Roman Zubatyuk, Wei Wu, et al.
Journal of Chemical Theory and Computation|February 14, 2026
AIQM3: Targeting Coupled-Cluster Accuracy with Semi-Empirical Speed across Seven Main-Group ElementsYuxinxin Chen, Yi-Fan Hou, Roman Zubatyuk, et al.
Nature Communications|August 12, 2021
Teaching a neural network to attach and detach electrons from moleculesRoman Zubatyuk, Justin S Smith, Benjamin T Nebgen, et al.
Acta Crystallographica. Section E, Structure Reports Online|November 6, 2012
Tetra-kis(μ(2)-cyanido-κ(2)C:N)dicyanido-tetra-kis-[tris-(2-amino-eth-yl)amine-κ(3)N,N',N'',N''']tetra-copper(II)iron(II) bis[pentacyanidonitrosoferrate(II)] hexahydrateOlesia V Kozachuk, Julia A Rusanova, Oksana V Nesterova, et al.
Journal of Chemical Theory and Computation|June 17, 2020
Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and HalogensChristian Devereux, Justin S Smith, Kate K Huddleston, et al.
Angewandte Chemie (International Ed. in English)|December 16, 2025
AIMNet2-NSE: A Transferable Reactive Neural Network Potential for Open-Shell ChemistryBhupalee Kalita, Roman Zubatyuk, Dylan M Anstine, et al.
Pageof 3