Home ›
Entities
› academia
› A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds
A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds
A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds
Summary
A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds is a scholarly article[1].
Key Facts
A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-combination-of-machine-learning-model-and-density-functional-theory-method-to-predict-corrosion-inhibition-performance
MLA“A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-combination-of-machine-learning-model-and-density-functional-theory-method-to-predict-corrosion-inhibition-performance.
BibTeX@misc{4ortxyz_a-combination-of-machine-learning-model-and-density-functional-theory-method-to-predict-corrosion-inhibition-performance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds}}, year = {2026}, url = {https://4ort.xyz/entity/a-combination-of-machine-learning-model-and-density-functional-theory-method-to-predict-corrosion-inhibition-performance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds — https://4ort.xyz/entity/a-combination-of-machine-learning-model-and-density-functional-theory-method-to-predict-corrosion-inhibition-performance (retrieved 2026-05-24)
