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researcher

I. Morales

5 papers hereh-index 28 citations7 works total

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

author position
  • first author1
  • middle author3
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.IR1
  • cs.LG1
  • physics.flu-dyn1
same name
  • I. Morales — 5 papers, h 11
  • I. Morales — 3 papers, h 3
  • I. Morales — 2 papers, h 4
  • I. Morales — 1 paper, h 1
  • I. Morales — 1 paper, h 2
  • I. Morales — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMIMIC: A Generative Multimodal Foundation Model for Biomolecules

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.LG2026

NMR Elucidation as an Agentic Search Problem, Not a Modeling Problem

Irina Espejo Morales, Damon Hinz, Marvin Alberts +3

Structural elucidation from Nuclear Magnetic Resonance (NMR) data remains a fundamental bottleneck across chemistry, materials science, and biology. We demonstrate that an agentic…

physics.flu-dyn2026

Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence

Payel Mukhopadhyay, Stefan S. Nixon, Romain Watteaux +20

Whether physics foundation models can be usefully deployed on laboratory experiments remains an open question for scientific machine learning (ML). We test this question on the Ray…

cs.AI2026★ 1 cited

MIMIC: A Generative Multimodal Foundation Model for Biomolecules

Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28

Biological function emerges from coupled constraints across sequence, structure, regulation, evolution, and cellular context, yet most foundation models in biology are trained with…

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