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Rodrigo Hormázabal

Observed names: Hormazabal, Rodrigo, Rodrigo Hormazabal, Rodrigo S. Hormazabal
ORCID: 0000-0003-3744-5401
Observed ORCID: 0000-0003-3744-5401
OpenAlex ID: A5024797101
Accelerated chemical science with AI
2023 · Seoin Back, Alán Aspuru-Guzik, et al. · Digital Discovery · 95
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Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization
2025 · Lee, Chanhui, Ko, Hanbum, et al. · arXiv (Cornell University) · 17
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Not from Scratch: Predicting Thermophysical Properties through Model-Based Transfer Learning Using Graph Convolutional Networks
2022 · Rodrigo S. Hormazabal, Jeong Won Kang, et al. · Journal of Chemical Information and Modeling · 5
RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction
2026 · Hanbum Ko, Chanhui Lee, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 3
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Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening
2025 · Kim, Hyunseung, Jeong, Dae-Woong, et al. · arXiv (Cornell University) · 2
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CEDe: A Collection of Expert-Curated Datasets with Atom-Level Entity Annotations for Optical Chemical Structure Recognition
2022 · Rodrigo Hormazabal, Changyoung Park, et al. · neural information processing systems · 1
MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular Design
2026 · Jeong, Yongjun, Ko, Hanbum, et al. · arXiv (Cornell University)
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Multimodal Molecular LLM with Improved Graph Utilization
2026 · Sungwoong Kim, Chanhui Lee, et al. · Research Square
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MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
2026 · Jung, Hojung, Hormazabal, Rodrigo, et al. · arXiv (Cornell University)
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Author response for "Accelerated chemical science with AI"
2023 · Back, Seoin, Aspuru-Guzik, Alan, et al. · Publons reviews and discussion
Works count: 11
Citation count: 123
H-index: 3
I10-index: 2
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