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researcher

Mauricio Araya-Polo

3 papers hereh-index 12 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedSTRIDE: Structure-guided Generation for Inverse Design of Molecules

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

physics.chem-ph2026

Identification of Solid-Electrolyte Interphase Species by Joint Characterization of Li-ion Battery Chemistry by Mass Spectrometry and Electro-Chemical Reaction Networks

Mona Abdelgaid, Oliver Hvidsten, Theo Sombret +10

The formation and stability of the solid electrolyte interphase (SEI) play a central role in determining the long-term performance and safety of modern electrochemical energy stora…

cs.LG2023

Distributed Reinforcement Learning for Molecular Design: Antioxidant case

Huanyi Qin, Denis Akhiyarov, Sophie Loehle +2

Deep reinforcement learning has successfully been applied for molecular discovery as shown by the Molecule Deep Q-network (MolDQN) algorithm. This algorithm has challenges when app…

physics.chem-ph2023★ 2 cited

STRIDE: Structure-guided Generation for Inverse Design of Molecules

Shehtab Zaman, Denis Akhiyarov, Mauricio Araya-Polo +1

Machine learning and especially deep learning has had an increasing impact on molecule and materials design. In particular, given the growing access to an abundance of high-quality…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.