Home › Entities › academia › The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells

The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells

Research article (International Journal of Quantum Chemistry, 2022) · cited 15× · AI/ML
academia openalex:W4291184652
Press Enter · cited answer in seconds

The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells

Summary

The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells is a scholarly article[1].

Key Facts

  • The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 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). The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-use-of-machine-learning-density-functional-theory-and-molecular-dynamics-simulations-for-the-designing-and-screening
MLA “The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-use-of-machine-learning-density-functional-theory-and-molecular-dynamics-simulations-for-the-designing-and-screening.
BibTeX @misc{4ortxyz_the-use-of-machine-learning-density-functional-theory-and-molecular-dynamics-simulations-for-the-designing-and-screening_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells}}, year = {2026}, url = {https://4ort.xyz/entity/the-use-of-machine-learning-density-functional-theory-and-molecular-dynamics-simulations-for-the-designing-and-screening}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The use of machine learning, density functional theory, and molecular dynamics simulations for the designing and screening of efficient small molecule donors for organic solar cells — https://4ort.xyz/entity/the-use-of-machine-learning-density-functional-theory-and-molecular-dynamics-simulations-for-the-designing-and-screening (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/the-use-of-machine-learning-density-functional-theory-and-molecular-dynamics-simulations-for-the-designing-and-screening · Last refreshed: