Home ›
Entities
› academia
› Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e425" altimg="si20.svg"><mml:mrow><mml:mi>σ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>phase as an example
Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e425" altimg="si20.svg"><mml:mrow><mml:mi>σ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>phase as an example
Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The σ−phase as an example
Summary
Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The σ−phase as an example is a scholarly article<sup id="cite-A2" class="cite-ref" title="Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The [1].
Key Facts
Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The σ−phase as an example's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The [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). Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e425" altimg="si20.svg"><mml:mrow><mml:mi>σ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>phase as an example. Retrieved May 24, 2026, from https://4ort.xyz/entity/supervised-deep-learning-prediction-of-the-formation-enthalpy-of-complex-phases-using-a-dft-database-the-mml-math-xmlns-
MLA“Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e425" altimg="si20.svg"><mml:mrow><mml:mi>σ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>phase as an example.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/supervised-deep-learning-prediction-of-the-formation-enthalpy-of-complex-phases-using-a-dft-database-the-mml-math-xmlns-.
BibTeX@misc{4ortxyz_supervised-deep-learning-prediction-of-the-formation-enthalpy-of-complex-phases-using-a-dft-database-the-mml-math-xmlns-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e425" altimg="si20.svg"><mml:mrow><mml:mi>σ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>phase as an example}}, year = {2026}, url = {https://4ort.xyz/entity/supervised-deep-learning-prediction-of-the-formation-enthalpy-of-complex-phases-using-a-dft-database-the-mml-math-xmlns-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e425" altimg="si20.svg"><mml:mrow><mml:mi>σ</mml:mi><mml:mo>−</mml:mo></mml:mrow></mml:math>phase as an example — https://4ort.xyz/entity/supervised-deep-learning-prediction-of-the-formation-enthalpy-of-complex-phases-using-a-dft-database-the-mml-math-xmlns- (retrieved 2026-05-24)
