Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy

Research article (arXiv (Cornell University), 2017) · cited 11× · AI/ML
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Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy

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Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy is a scholarly article[1].

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BibTeX @misc{4ortxyz_fast-machine-learning-models-of-electronic-and-energetic-properties-consistently-reach-approximation-errors-better-than-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/fast-machine-learning-models-of-electronic-and-energetic-properties-consistently-reach-approximation-errors-better-than-}, note = {Accessed: 2026-05-24}}
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