Home › Entities › academia › Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity

Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity

Research article (Journal of Materials Science, 2023) · cited 18× · AI/ML
academia openalex:W4388124331
Press Enter · cited answer in seconds

Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity

Summary

Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity is a scholarly article[1].

Key Facts

  • Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity'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). Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-ai-enabled-microstructure-design-of-porous-thermal-interface-materials-with-desired-effective-thermal-conduct
MLA “Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-ai-enabled-microstructure-design-of-porous-thermal-interface-materials-with-desired-effective-thermal-conduct.
BibTeX @misc{4ortxyz_generative-ai-enabled-microstructure-design-of-porous-thermal-interface-materials-with-desired-effective-thermal-conduct_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity}}, year = {2026}, url = {https://4ort.xyz/entity/generative-ai-enabled-microstructure-design-of-porous-thermal-interface-materials-with-desired-effective-thermal-conduct}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity — https://4ort.xyz/entity/generative-ai-enabled-microstructure-design-of-porous-thermal-interface-materials-with-desired-effective-thermal-conduct (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/generative-ai-enabled-microstructure-design-of-porous-thermal-interface-materials-with-desired-effective-thermal-conduct · Last refreshed: