Home ›
Entities
› academia
› Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
Research article (Scripta Materialia, 2024) · cited 178× · AI/ML
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
Summary
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction is a scholarly article[1].
Key Facts
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction'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). Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/harmonizing-physical-and-deep-learning-modeling-a-computationally-efficient-and-interpretable-approach-for-property-pred
MLA“Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harmonizing-physical-and-deep-learning-modeling-a-computationally-efficient-and-interpretable-approach-for-property-pred.
BibTeX@misc{4ortxyz_harmonizing-physical-and-deep-learning-modeling-a-computationally-efficient-and-interpretable-approach-for-property-pred_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction}}, year = {2026}, url = {https://4ort.xyz/entity/harmonizing-physical-and-deep-learning-modeling-a-computationally-efficient-and-interpretable-approach-for-property-pred}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction — https://4ort.xyz/entity/harmonizing-physical-and-deep-learning-modeling-a-computationally-efficient-and-interpretable-approach-for-property-pred (retrieved 2026-05-24)