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Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies
Research article (Journal of Cheminformatics, 2019) · cited 34× · AI/ML
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies
Summary
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies is a scholarly article[1].
Key Facts
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-models-for-hydrogen-bond-donor-and-acceptor-strengths-using-large-and-diverse-training-data-generated-b
MLA“Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-models-for-hydrogen-bond-donor-and-acceptor-strengths-using-large-and-diverse-training-data-generated-b.
BibTeX@misc{4ortxyz_machine-learning-models-for-hydrogen-bond-donor-and-acceptor-strengths-using-large-and-diverse-training-data-generated-b_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-models-for-hydrogen-bond-donor-and-acceptor-strengths-using-large-and-diverse-training-data-generated-b}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies — https://4ort.xyz/entity/machine-learning-models-for-hydrogen-bond-donor-and-acceptor-strengths-using-large-and-diverse-training-data-generated-b (retrieved 2026-05-24)
