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Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network
Research article (Digital Chemical Engineering, 2022) · cited 15× · AI/ML
Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network
Summary
Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network is a scholarly article[1].
Key Facts
Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network's instance of is recorded as scholarly article[2].
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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). Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network. Retrieved May 24, 2026, from https://4ort.xyz/entity/framework-for-discovering-porous-materials-structural-hybridization-and-bayesian-optimization-of-conditional-generative-
MLA“Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/framework-for-discovering-porous-materials-structural-hybridization-and-bayesian-optimization-of-conditional-generative-.
BibTeX@misc{4ortxyz_framework-for-discovering-porous-materials-structural-hybridization-and-bayesian-optimization-of-conditional-generative-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network}}, year = {2026}, url = {https://4ort.xyz/entity/framework-for-discovering-porous-materials-structural-hybridization-and-bayesian-optimization-of-conditional-generative-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network — https://4ort.xyz/entity/framework-for-discovering-porous-materials-structural-hybridization-and-bayesian-optimization-of-conditional-generative- (retrieved 2026-05-24)
