Nicolás Guarín‐Zapata
Engineering · Purdue University West Lafayette
Publications
41
Citations
727
Est. group size
—
Recurring co-author estimate
Active years
21
Publishing since 2006
Nicolás Guarín-Zapata works in engineering mechanics, focusing on how waves travel through materials, especially periodic and generalized-continuum materials (materials with special microstructure that affects wave behavior). Recent work extends into physics-informed machine learning methods (computational approaches that combine physics equations with neural networks) for modeling wave propagation, including applications in seismology and wave scattering problems. The work spans numerical methods, computational tools, and some more exploratory or lighter topics like musical instrument design and everyday physics.
Publication output was minimal in 2017-2018, rose to a peak around 2019-2021, dipped in 2022-2024, and has picked up again in 2025-2026, suggesting an uneven but recently reinvigorated publication pace.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Literature Dataset of Selected Studies for a Scoping Review of Physics-Informed Machine Learning for Wave Propagation Modeling in Seismology
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Literature Dataset of Selected Studies for a Scoping Review of Physics-Informed Machine Learning for Wave Propagation Modeling in Seismology
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Literature Dataset of Identified Studies for a Scoping Review of Physics-Informed Machine Learning for Wave Propagation Modeling in Seismology
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Literature Dataset of Identified Studies for a Scoping Review of Physics-Informed Machine Learning for Wave Propagation Modeling in Seismology
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Extracted Data from a Scoping Review of Machine Learning Approaches for Wave Propagation Modeling in Seismology
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Extracted Data from a Scoping Review of Machine Learning Approaches for Wave Propagation Modeling in Seismology
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Implicit Time-Marching for Lagrange Multiplier Formulation for Couple Stress Elastodynamics
arXiv (Cornell University) · 2025
- Implicit Time-Marching for Lagrange Multiplier Formulation for Couple Stress Elastodynamics
SSRN Electronic Journal · 2025
- Benchmarking Physics-Informed Neural Networks and Boundary Elements Methods for Wave Scattering
arXiv (Cornell University) · 2025
- Decoding street network morphologies and their correlation to travel mode choice
arXiv (Cornell University) · 2025
- Physics-informed neural networks to solve inverse problems in unbounded domains
arXiv (Cornell University) · 2025
- Analysis of the directionality on periodic materials
Mechanics of Advanced Materials and Structures · 2023
- Variational principles and finite element Bloch analysis in couple stress elastodynamics
Wave Motion · 2021
- Variational principles and finite element Bloch analysis in couple stress elastodynamics
arXiv (Cornell University) · 2021
- Design of a fretboard using the stiff string equation
arXiv (Cornell University) · 2021
- arXiv (Cornell University)×9
- Zenodo (CERN European Organization for Nuclear Research)×8
- Advanced Materials×2
- Wave Motion×2
- El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT)×2
- Fabio Semperlotti
Engineering · Purdue University West Lafayette
- Siddharth Nair
Engineering · Purdue University West Lafayette
- J. Stuart Bolton
Engineering · Purdue University West Lafayette
- Ahmet Selamet
Engineering · The Ohio State University
- Guochenhao Song
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile