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Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations
Research article (Modelling and Simulation in Materials Science and Engineering, 2017) · cited 34× · AI/ML
Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations
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Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations is a scholarly article[1].
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Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations. Retrieved May 24, 2026, from https://4ort.xyz/entity/fast-and-scalable-prediction-of-local-energy-at-grain-boundaries-machine-learning-based-modeling-of-first-principles-cal
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BibTeX@misc{4ortxyz_fast-and-scalable-prediction-of-local-energy-at-grain-boundaries-machine-learning-based-modeling-of-first-principles-cal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations}}, year = {2026}, url = {https://4ort.xyz/entity/fast-and-scalable-prediction-of-local-energy-at-grain-boundaries-machine-learning-based-modeling-of-first-principles-cal}, note = {Accessed: 2026-05-24}}
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