Nongnuch Artrith

Materials Science · Physical Sciences

28h-index4.5kcitations77works7.22yr avg
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Research Topics

Machine Learning in Materials Science(35), Advancements in Battery Materials(14), Electrocatalysts for Energy Conversion(12), Advanced Battery Materials and Technologies(12), Electronic and Structural Properties of Oxides(9)

Publications77 total

Synthesis of epitaxial TaO$_2$ thin films on Al$_2$O$_3$ by suboxide molecular-beam epitaxy and thermal laser epitaxy
ArXiv.org·2026Open Access
Synthesis of epitaxial TaO$_2$ thin films on Al$_2$O$_3$ by suboxide molecular-beam epitaxy and thermal laser epitaxy
arXiv (Cornell University)·2026Open Access
Harnessing Machine Learning to Advance Amorphous Battery Materials
ECS Meeting Abstracts·2025
Machine-learning insights into mechanical and ionic transport processes in thiophosphate solid electrolytes
2025Open Access
Understanding Structure-Composition-Property Relationships of Ni-P Bulk Metallic Glasses
The Journal of Physical Chemistry C·2025· 2 cited
Bayesian Neural Networks versus deep ensembles for uncertainty quantification in machine learning interatomic potentials
arXiv (Cornell University)·2025Open Access
Roadmap for Transforming Heterogeneous Catalysis with Artificial Intelligence
2025· 5 citedOpen Access
Grand Challenges and Opportunities in Stimulated Dynamic and Resonant Catalysis
2025Open Access
Scalable training of neural network potentials for complex interfaces through data augmentation
npj Computational Materials·2025Open Access
Computational Exploration of Ni-P Bulk Metallic Glasses via Machine Learning Potentials
2025Open Access
A practical guide to machine learning interatomic potentials – Status and future
Current Opinion in Solid State and Materials Science·2025· 109 citedOpen Access
Cost-Effective Strategy of Enhancing Machine Learning Potentials by Transfer Learning from a Multicomponent Data Set on ænet-PyTorch
The Journal of Physical Chemistry C·2024· 1 citedOpen Access
Highly Antioxidative Lithium Salt Enables High-Voltage Ether Electrolyte for Lithium Metal Battery
ACS Applied Energy Materials·2024· 5 citedOpen Access
Mechanistic Insights into the Oxygen Evolution Reaction on Nickel-Doped Barium Titanate via Machine Learning-Accelerated Simulations
arXiv (Cornell University)·2024· 2 citedOpen Access
Superprotonic Conductivity in Hexagonal and Tetragonal Cesium Hydroxide Hydrate
Advanced Functional Materials·2024· 2 citedOpen Access
Highly Antioxidative Lithium Salt Enables High-Voltage Ether Electrolyte for Lithium Metal Battery
arXiv (Cornell University)·2024Open Access
A cost-effective strategy of enhancing machine learning potentials by transfer learning from a multicomponent dataset on ænet-PyTorch
arXiv (Cornell University)·2024· 1 citedOpen Access
Atomic insights into the oxidative degradation mechanisms of sulfide solid electrolytes
Cell Reports Physical Science·2024· 14 citedOpen Access
Machine Learning Potential Powered Insights into the Mechanical Stability of Amorphous Li-Si Alloys
arXiv (Cornell University)·2024Open Access
In Situ Analysis of Gas Dependent Redistribution Kinetics in Bimetallic Au-Pd Nanoparticles
2024· 2 citedOpen Access
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Frequent Co-authors

Alexander Urban(15), Gerbrand Ceder(9), Alexie M. Kolpak(6), Haoyue Guo(6), Tobias Morawietz(5), Jörg Behler(5), José Antonio Garrido Torres(4), Jumras Limtrakul(3), Olexandr Isayev(2), Zhengyan Lun(2), Zhexi Lin(2), Jingguang G. Chen(2), Boris Kozinsky(2), Igor Poltavsky(2), Aidan P. Thompson(2), Sippakorn Wannakao(2), Allan S. Johnson(2), Daniel Pérez-Salinas(2), Sungwon Kim(2), Sungwook Choi(2)