Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Vapor–liquid equilibrium of water with the MB-pol many-body potential
Maria Carolina Muniz, Thomas E. Gartner, Marc Riera, et al.
The Journal of Chemical Physics (2021) Vol. 154, Iss. 21
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Anomalies and Local Structure of Liquid Water from Boiling to the Supercooled Regime as Predicted by the Many-Body MB-pol Model
Thomas E. Gartner, Kelly M. Hunter, Eleftherios Lambros, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 16, pp. 3652-3658
Open Access | Times Cited: 76
A “short blanket” dilemma for a state-of-the-art neural network potential for water: Reproducing experimental properties or the physics of the underlying many-body interactions?
Yaoguang Zhai, Alessandro Caruso, Sigbjørn Løland Bore, et al.
The Journal of Chemical Physics (2023) Vol. 158, Iss. 8
Open Access | Times Cited: 61
Realistic phase diagram of water from “first principles” data-driven quantum simulations
Sigbjørn Løland Bore, Francesco Paesani
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 60
MB-pol(2023): Sub-chemical Accuracy for Water Simulations from the Gas to the Liquid Phase
Xuanyu Zhu, Marc Riera, Ethan F. Bull-Vulpe, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 12, pp. 3551-3566
Closed Access | Times Cited: 48
The role of charge in microdroplet redox chemistry
Joseph P Heindel, R. Allen LaCour, Teresa Head‐Gordon
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 26
Constraints on the location of the liquid–liquid critical point in water
Francesco Sciortino, Yaoguang Zhai, Sigbjørn Løland Bore, et al.
Nature Physics (2025)
Closed Access | Times Cited: 3
Elevating density functional theory to chemical accuracy for water simulations through a density-corrected many-body formalism
Saswata Dasgupta, Eleftherios Lambros, John P. Perdew, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 65
Improved and Always Improving: Reference Formulations for Thermophysical Properties of Water
Allan H. Harvey, Ján Hrubý, Karsten Meier
Journal of Physical and Chemical Reference Data (2023) Vol. 52, Iss. 1
Closed Access | Times Cited: 39
MBX: A many-body energy and force calculator for data-driven many-body simulations
Marc Riera, Chris Knight, Ethan F. Bull-Vulpe, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 5
Closed Access | Times Cited: 38
Molecular Insights into Chemical Reactions at Aqueous Aerosol Interfaces
David T. Limmer, Andreas W. Götz, Timothy H. Bertram, et al.
Annual Review of Physical Chemistry (2024) Vol. 75, Iss. 1, pp. 111-135
Open Access | Times Cited: 15
Transferable Water Potentials Using Equivariant Neural Networks
Tristan Maxson, Tibor Szilvási
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 14, pp. 3740-3747
Open Access | Times Cited: 11
Many-body interactions and deep neural network potentials for water
Yaoguang Zhai, Richa Rashmi, Etienne Palos, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 14
Open Access | Times Cited: 11
PACMAN: A Robust Partial Atomic Charge Predicter for Nanoporous Materials Based on Crystal Graph Convolution Networks
Guobin Zhao, Yongchul G. Chung
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 12, pp. 5368-5380
Closed Access | Times Cited: 9
Data-Driven Many-Body Potential Energy Functions for Generic Molecules: Linear Alkanes as a Proof-of-Concept Application
Ethan F. Bull-Vulpe, Marc Riera, Sigbjørn Løland Bore, et al.
Journal of Chemical Theory and Computation (2022) Vol. 19, Iss. 14, pp. 4494-4509
Closed Access | Times Cited: 31
Dynamics of Aqueous Electrolyte Solutions: Challenges for Simulations
Athanassios Z. Panagiotopoulos, Shuwen Yue
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 2, pp. 430-437
Open Access | Times Cited: 23
Data-driven many-body potentials from density functional theory for aqueous phase chemistry
Etienne Palos, Saswata Dasgupta, Eleftherios Lambros, et al.
Chemical Physics Reviews (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 22
Molecular Insights into the Influence of Ions on the Water Structure. I. Alkali Metal Ions in Solution
Roya Savoj, Henry Agnew, Ruihan Zhou, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 8, pp. 1953-1962
Open Access | Times Cited: 7
Molecular driving forces for water adsorption in MOF-808: A comparative analysis with UiO-66
Hilliary O. Frank, Francesco Paesani
The Journal of Chemical Physics (2024) Vol. 160, Iss. 9
Open Access | Times Cited: 7
Current Status of the MB-pol Data-Driven Many-Body Potential for Predictive Simulations of Water Across Different Phases
Etienne Palos, Ethan F. Bull-Vulpe, Xuanyu Zhu, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 21, pp. 9269-9289
Closed Access | Times Cited: 7
Recent progress in general force fields of small molecules
Xibing He, Brandon Walker, Viet Hoang Man, et al.
Current Opinion in Structural Biology (2021) Vol. 72, pp. 187-193
Open Access | Times Cited: 39
Uptake of N2O5 by aqueous aerosol unveiled using chemically accurate many-body potentials
Vinícius Wilian D. Cruzeiro, Mirza Galib, David T. Limmer, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 27
Transferability of data-driven, many-body models for CO2 simulations in the vapor and liquid phases
Shuwen Yue, Marc Riera, Raja Ghosh, et al.
The Journal of Chemical Physics (2022) Vol. 156, Iss. 10
Open Access | Times Cited: 27
Toward High-level Machine Learning Potential for Water Based on Quantum Fragmentation and Neural Networks
Jinfeng Liu, Jinggang Lan, Xiao He
The Journal of Physical Chemistry A (2022) Vol. 126, Iss. 24, pp. 3926-3936
Closed Access | Times Cited: 25
Neural Network Water Model Based on the MB-Pol Many-Body Potential
Maria Carolina Muniz, Roberto Car, Athanassios Z. Panagiotopoulos
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 42, pp. 9165-9171
Closed Access | Times Cited: 15
Page 1 - Next Page

Scroll to top