Nongnuch Artrith

4.5k total citations · 1 hit paper
39 papers, 3.4k citations indexed

About

Nongnuch Artrith is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Nongnuch Artrith has authored 39 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Nongnuch Artrith's work include Machine Learning in Materials Science (20 papers), Electrocatalysts for Energy Conversion (10 papers) and Advanced Battery Materials and Technologies (8 papers). Nongnuch Artrith is often cited by papers focused on Machine Learning in Materials Science (20 papers), Electrocatalysts for Energy Conversion (10 papers) and Advanced Battery Materials and Technologies (8 papers). Nongnuch Artrith collaborates with scholars based in United States, Netherlands and Germany. Nongnuch Artrith's co-authors include Alexander Urban, Jörg Behler, Gerbrand Ceder, Alexie M. Kolpak, Tobias Morawietz, Seungwu Han, Keith T. Butler, Anubhav Jain, Olexandr Isayev and Aron Walsh and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Nongnuch Artrith

39 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Best practices in machine learning for chemistry

2021 339 citations Nongnuch Artrith et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nongnuch Artrith United States	25	2.5k	1.0k	576	418	414	39	3.4k
Cheng Shang China	30	2.4k 0.9×	618 0.6×	291 0.5×	717 1.7×	278 0.7×	89	3.2k
Christopher C. Fischer United States	13	1.9k 0.7×	1.1k 1.1×	224 0.4×	263 0.6×	199 0.5×	24	3.0k
Luca M. Ghiringhelli Germany	30	3.2k 1.3×	1.4k 1.3×	338 0.6×	414 1.0×	561 1.4×	74	4.1k
Jonathan P. Mailoa United States	23	2.4k 1.0×	2.7k 2.7×	309 0.5×	214 0.5×	409 1.0×	47	4.3k
Alexander V. Shapeev Russia	36	5.1k 2.0×	1.2k 1.2×	618 1.1×	361 0.9×	576 1.4×	98	6.1k
Michael Kocher United States	5	2.6k 1.0×	1.4k 1.4×	230 0.4×	353 0.8×	216 0.5×	7	3.5k
Christopher J. Bartel United States	25	3.2k 1.3×	1.8k 1.8×	256 0.4×	446 1.1×	169 0.4×	59	4.2k
Ohad Levy United States	26	4.5k 1.8×	1.2k 1.2×	501 0.9×	375 0.9×	687 1.7×	56	6.0k
Shyam Dwaraknath United States	24	2.7k 1.1×	996 1.0×	226 0.4×	233 0.6×	152 0.4×	44	3.6k
Lixin Sun United States	18	2.1k 0.8×	640 0.6×	421 0.7×	339 0.8×	192 0.5×	37	2.6k

Countries citing papers authored by Nongnuch Artrith

Since Specialization

Citations

This map shows the geographic impact of Nongnuch Artrith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nongnuch Artrith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nongnuch Artrith more than expected).

Fields of papers citing papers by Nongnuch Artrith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nongnuch Artrith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nongnuch Artrith. The network helps show where Nongnuch Artrith may publish in the future.

Co-authorship network of co-authors of Nongnuch Artrith

This figure shows the co-authorship network connecting the top 25 collaborators of Nongnuch Artrith. A scholar is included among the top collaborators of Nongnuch Artrith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nongnuch Artrith. Nongnuch Artrith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Artrith, Nongnuch, et al.. (2025). Understanding Structure-Composition-Property Relationships of Ni-P Bulk Metallic Glasses. The Journal of Physical Chemistry C. 129(42). 19065–19073. 1 indexed citations

Artrith, Nongnuch, et al.. (2024). Superprotonic Conductivity in Hexagonal and Tetragonal Cesium Hydroxide Hydrate. Advanced Functional Materials. 35(2). 2 indexed citations

He, Jian, et al.. (2024). Highly Antioxidative Lithium Salt Enables High-Voltage Ether Electrolyte for Lithium Metal Battery. ACS Applied Energy Materials. 8(1). 343–354. 3 indexed citations

Etxebarria, I., et al.. (2023). ænet-PyTorch: A GPU-supported implementation for machine learning atomic potentials training. The Journal of Chemical Physics. 158(16). 18 indexed citations

Guo, Haoyue, Matthew R. Carbone, Chuntian Cao, et al.. (2023). Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes. Scientific Data. 10(1). 349–349. 19 indexed citations

Ngamwongwan, Lappawat, Valerio Gulino, Vasileios Kyriakou, et al.. (2023). Mixed hydride-electronic conductivity in Rb2CaH4 and Cs2CaH4. Solid State Ionics. 403. 116384–116384. 10 indexed citations

Li, Xin‐Hao, Qian Wang, Haoyue Guo, Nongnuch Artrith, & Alexander Urban. (2022). Understanding the Onset of Surface Degradation in LiNiO₂ Cathodes. ACS Applied Energy Materials. 5(5). 5730–5741. 23 indexed citations

Guo, Haoyue, Qian Wang, Alexander Urban, & Nongnuch Artrith. (2022). Artificial Intelligence-Aided Mapping of the Structure–Composition–Conductivity Relationships of Glass–Ceramic Lithium Thiophosphate Electrolytes. Chemistry of Materials. 34(15). 6702–6712. 26 indexed citations

Artrith, Nongnuch, José Antonio Garrido Torres, Alexander Urban, & Mark S. Hybertsen. (2022). Data-driven approach to parameterize SCAN+U for an accurate description of 3d transition metal oxide thermochemistry. Physical Review Materials. 6(3). 14 indexed citations

10.

Denny, Steven R., et al.. (2022). Machine learning prediction and experimental verification of Pt-modified nitride catalysts for ethanol reforming with reduced precious metal loading. Applied Catalysis B: Environmental. 312. 121380–121380. 19 indexed citations

11.

Morawietz, Tobias, et al.. (2021). Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations. Machine Learning Science and Technology. 2(3). 31001–31001. 70 indexed citations

12.

Torres, José Antonio Garrido, et al.. (2021). Augmenting zero-Kelvin quantum mechanics with machine learning for the prediction of chemical reactions at high temperatures. Nature Communications. 12(1). 7012–7012. 13 indexed citations

13.

Artrith, Nongnuch. (2020). Learning What Makes Catalysts Good. Matter. 3(4). 985–986. 7 indexed citations

14.

Morawietz, Tobias & Nongnuch Artrith. (2020). Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications. Journal of Computer-Aided Molecular Design. 35(4). 557–586. 54 indexed citations

15.

Urban, Alexander, Aziz Abdellahi, Stephen Dacek, Nongnuch Artrith, & Gerbrand Ceder. (2017). Electronic-Structure Origin of Cation Disorder in Transition-Metal Oxides. Physical Review Letters. 119(17). 176402–176402. 172 indexed citations

16.

Wannakao, Sippakorn, Nongnuch Artrith, Jumras Limtrakul, & Alexie M. Kolpak. (2017). Catalytic Activity and Product Selectivity Trends for Carbon Dioxide Electroreduction on Transition Metal-Coated Tungsten Carbides. The Journal of Physical Chemistry C. 121(37). 20306–20314. 41 indexed citations

17.

Artrith, Nongnuch, et al.. (2016). Reduced overpotentials for electrocatalytic water splitting over Fe- and Ni-modified BaTiO₃. Physical Chemistry Chemical Physics. 18(42). 29561–29570. 33 indexed citations

18.

Wannakao, Sippakorn, Nongnuch Artrith, Jumras Limtrakul, & Alexie M. Kolpak. (2015). Engineering Transition‐Metal‐Coated Tungsten Carbides for Efficient and Selective Electrochemical Reduction of CO₂ to Methane. ChemSusChem. 8(16). 2745–2751. 44 indexed citations

19.

Artrith, Nongnuch & Alexie M. Kolpak. (2014). Understanding the Composition and Activity of Electrocatalytic Nanoalloys in Aqueous Solvents: A Combination of DFT and Accurate Neural Network Potentials. Nano Letters. 14(5). 2670–2676. 173 indexed citations

20.

Artrith, Nongnuch, Tobias Morawietz, & Jörg Behler. (2011). High-dimensional neural-network potentials for multicomponent systems: Applications to zinc oxide. Physical Review B. 83(15). 289 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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