Home ›
Entities
› academia
› Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning
Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning
Research article (Journal of Chemical Theory and Computation, 2020) · cited 38× · AI/ML
Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning
Summary
Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning is a scholarly article[1].
Key Facts
Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning's instance of is recorded as scholarly article[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). Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/effective-molecular-descriptors-for-chemical-accuracy-at-dft-cost-fragmentation-error-cancellation-and-machine-learning
MLA“Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effective-molecular-descriptors-for-chemical-accuracy-at-dft-cost-fragmentation-error-cancellation-and-machine-learning.
BibTeX@misc{4ortxyz_effective-molecular-descriptors-for-chemical-accuracy-at-dft-cost-fragmentation-error-cancellation-and-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/effective-molecular-descriptors-for-chemical-accuracy-at-dft-cost-fragmentation-error-cancellation-and-machine-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effective Molecular Descriptors for Chemical Accuracy at DFT Cost: Fragmentation, Error-Cancellation, and Machine Learning — https://4ort.xyz/entity/effective-molecular-descriptors-for-chemical-accuracy-at-dft-cost-fragmentation-error-cancellation-and-machine-learning (retrieved 2026-05-24)