Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES

Research article (Journal of Computer-Aided Molecular Design, 2023) · cited 20× · AI/ML
Press Enter · cited answer in seconds

Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES

Summary

Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES is a scholarly article[1].

Key Facts

  • Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES. Retrieved May 24, 2026, from https://4ort.xyz/entity/faster-and-more-diverse-de-novo-molecular-optimization-with-double-loop-reinforcement-learning-using-augmented-smiles
MLA “Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/faster-and-more-diverse-de-novo-molecular-optimization-with-double-loop-reinforcement-learning-using-augmented-smiles.
BibTeX @misc{4ortxyz_faster-and-more-diverse-de-novo-molecular-optimization-with-double-loop-reinforcement-learning-using-augmented-smiles_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES}}, year = {2026}, url = {https://4ort.xyz/entity/faster-and-more-diverse-de-novo-molecular-optimization-with-double-loop-reinforcement-learning-using-augmented-smiles}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES — https://4ort.xyz/entity/faster-and-more-diverse-de-novo-molecular-optimization-with-double-loop-reinforcement-learning-using-augmented-smiles (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/faster-and-more-diverse-de-novo-molecular-optimization-with-double-loop-reinforcement-learning-using-augmented-smiles · Last refreshed: