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Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks
Research article (Scientific Reports, 2024) · cited 25× · AI/ML
Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks
Summary
Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks is a scholarly article[1].
Key Facts
Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/rapid-and-accurate-predictions-of-perfect-and-defective-material-properties-in-atomistic-simulation-using-the-power-of-3
MLA“Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rapid-and-accurate-predictions-of-perfect-and-defective-material-properties-in-atomistic-simulation-using-the-power-of-3.
BibTeX@misc{4ortxyz_rapid-and-accurate-predictions-of-perfect-and-defective-material-properties-in-atomistic-simulation-using-the-power-of-3_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/rapid-and-accurate-predictions-of-perfect-and-defective-material-properties-in-atomistic-simulation-using-the-power-of-3}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks — https://4ort.xyz/entity/rapid-and-accurate-predictions-of-perfect-and-defective-material-properties-in-atomistic-simulation-using-the-power-of-3 (retrieved 2026-05-24)
