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Juan Diego Toscano
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Residual-based attention in physics-informed neural networks
SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 421, 116805, 2024
542024
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
K Shukla, JD Toscano, Z Wang, Z Zou, GE Karniadakis
arXiv preprint arXiv:2406.02917, 2024
522024
Residual-based attention and connection to information bottleneck theory in PINNs
SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis
arXiv preprint arXiv:2307.00379, 2023
272023
Teeth mold point cloud completion via data augmentation and hybrid rl-gan
JD Toscano, C Zuniga-Navarrete, WDJ Siu, LJ Segura, H Sun
Journal of Computing and Information Science in Engineering 23 (4), 041008, 2023
192023
Learning in PINNs: Phase transition, total diffusion, and generalization
SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis
arXiv preprint arXiv:2403.18494, 2024
142024
A machine learning approach to model the electrospinning process of biocompatible materials
JD Toscano, Z Li, LJ Segura, H Sun
International Manufacturing Science and Engineering Conference 84263 …, 2020
142020
From pinns to pikans: Recent advances in physics-informed machine learning
JD Toscano, V Oommen, AJ Varghese, Z Zou, NA Daryakenari, C Wu, ...
arXiv preprint arXiv:2410.13228, 2024
122024
Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks
JD Toscano, T Käufer, Z Wang, M Maxey, C Cierpka, GE Karniadakis
arXiv preprint arXiv:2407.15727, 2024
112024
Deformation analysis of 3d printed metacarpophalangeal and interphalangeal joints via transfer learning
JD Toscano, S Hajifar, CO Segura, LJ Segura, H Sun
International Manufacturing Science and Engineering Conference 85062 …, 2021
62021
KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics
JD Toscano, LL Wang, GE Karniadakis
arXiv preprint arXiv:2412.16738, 2024
22024
Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification
JD Toscano, C Wu, A Ladrón-de-Guevara, T Du, M Nedergaard, ...
Interface Focus 14 (6), 20240030, 2024
22024
Kolmogorov Artificial Intelligence Velocimetry infers hidden temperature from turbulent experimental velocity data
J Toscano, T Käufer, Z Wang, C Cierpka, M Maxey, G Karniadakis
APS Division of Fluid Dynamics Meeting Abstracts, R23. 009, 2024
2024
Modelling cerebrospinal fluid dynamics in a mouse brain
K Boster, J Toscano, G Karniadakis, D Kelley
APS Division of Fluid Dynamics Meeting Abstracts, A01. 001, 2024
2024
Electrospinning Process Modeling: A Multi-Stage View
C Zuniga-Navarrete, SJ Segura, S Baidya, C Narváez-Muñoz, ...
International Manufacturing Science and Engineering Conference 88117 …, 2024
2024
ALAIV: Assessing Lymphatic Flows through Artificial Intelligence Velocimetry
J Toscano, A Raghunandan, T Du, M Nedergaard, D Kelley, ...
Bulletin of the American Physical Society, 2023
2023
Modelamiento de la interdependencia de parámetros de proceso con las propiedades mecánicas
JD Toscano Castillo, SD Castellanos Villa
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