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Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model
Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model
Summary
Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model is a scholarly article[1].
Key Facts
Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model's instance of is recorded as scholarly article[2].
References
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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). Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterization-propagation-and-sensitivity-analysis-of-uncertainties-in-the-directed-energy-deposition-process-using-a
MLA“Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterization-propagation-and-sensitivity-analysis-of-uncertainties-in-the-directed-energy-deposition-process-using-a.
BibTeX@misc{4ortxyz_characterization-propagation-and-sensitivity-analysis-of-uncertainties-in-the-directed-energy-deposition-process-using-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model}}, year = {2026}, url = {https://4ort.xyz/entity/characterization-propagation-and-sensitivity-analysis-of-uncertainties-in-the-directed-energy-deposition-process-using-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterization, propagation, and sensitivity analysis of uncertainties in the directed energy deposition process using a deep learning-based surrogate model — https://4ort.xyz/entity/characterization-propagation-and-sensitivity-analysis-of-uncertainties-in-the-directed-energy-deposition-process-using-a (retrieved 2026-05-24)
