Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features

Research article (Journal of Energy Chemistry, 2024) · cited 23× · AI/ML
Press Enter · cited answer in seconds

Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features

Summary

Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features is a scholarly article[1].

Key Facts

  • Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features. Retrieved May 24, 2026, from https://4ort.xyz/entity/directly-predicting-n2-electroreduction-reaction-free-energy-using-interpretable-machine-learning-with-non-dft-calculate
MLA “Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/directly-predicting-n2-electroreduction-reaction-free-energy-using-interpretable-machine-learning-with-non-dft-calculate.
BibTeX @misc{4ortxyz_directly-predicting-n2-electroreduction-reaction-free-energy-using-interpretable-machine-learning-with-non-dft-calculate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features}}, year = {2026}, url = {https://4ort.xyz/entity/directly-predicting-n2-electroreduction-reaction-free-energy-using-interpretable-machine-learning-with-non-dft-calculate}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Directly predicting N2 electroreduction reaction free energy using interpretable machine learning with non-DFT calculated features — https://4ort.xyz/entity/directly-predicting-n2-electroreduction-reaction-free-energy-using-interpretable-machine-learning-with-non-dft-calculate (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/directly-predicting-n2-electroreduction-reaction-free-energy-using-interpretable-machine-learning-with-non-dft-calculate · Last refreshed: