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Juan Diego Toscano
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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
152023
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
142024
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
92023
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
72020
Learning in PINNs: Phase transition, total diffusion, and generalization
SJ Anagnostopoulos, JD Toscano, N Stergiopulos, GE Karniadakis
arXiv preprint arXiv:2403.18494, 2024
42024
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
42021
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
22024
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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