Zobrazeno 1 - 10
of 851
pro vyhledávání: '"Mora, Carlos"'
Operator learning focuses on approximating mappings $\mathcal{G}^\dagger:\mathcal{U} \rightarrow\mathcal{V}$ between infinite-dimensional spaces of functions, such as $u: \Omega_u\rightarrow\mathbb{R}$ and $v: \Omega_v\rightarrow\mathbb{R}$. This mak
Externí odkaz:
http://arxiv.org/abs/2409.04538
Topology optimization (TO) provides a principled mathematical approach for optimizing the performance of a structure by designing its material spatial distribution in a pre-defined domain and subject to a set of constraints. The majority of existing
Externí odkaz:
http://arxiv.org/abs/2408.03490
Physics-informed machine learning (PIML) has emerged as a promising alternative to conventional numerical methods for solving partial differential equations (PDEs). PIML models are increasingly built via deep neural networks (NNs) whose architecture
Externí odkaz:
http://arxiv.org/abs/2401.03492
In this paper we introduce GP+, an open-source library for kernel-based learning via Gaussian processes (GPs) which are powerful statistical models that are completely characterized by their parametric covariance and mean functions. GP+ is built on P
Externí odkaz:
http://arxiv.org/abs/2312.07694
Autor:
Mora, Carlos, Eweis-Labolle, Jonathan Tammer, Johnson, Tyler, Gadde, Likith, Bostanabad, Ramin
In many applications in engineering and sciences analysts have simultaneous access to multiple data sources. In such cases, the overall cost of acquiring information can be reduced via data fusion or multi-fidelity (MF) modeling where one leverages i
Externí odkaz:
http://arxiv.org/abs/2301.13271
Autor:
Páez-Mora, Carlos D.1 (AUTHOR), Zona, Diana Carolina1 (AUTHOR) dczonar@unal.edu.co, Angarita-Sierra, Teddy2 (AUTHOR), Rojas-Paredes, Matilde E.1 (AUTHOR), Cano-Trejos, Daniela1 (AUTHOR)
Publikováno v:
PLoS ONE. 11/15/2024, Vol. 19 Issue 11, p1-15. 15p.
Autor:
Mora, Carlos A.
Coalbed methane (CBM) reservoirs have become a very important natural resource around the world. Because of their complexity, calculating original gas in place and analyzing production performance require consideration of special features. Coalbed me
Externí odkaz:
http://hdl.handle.net/1969.1/ETD-TAMU-1958
Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models via Latent Map Gaussian Process
Fracture modeling of metallic alloys with microscopic pores relies on multiscale damage simulations which typically ignore the manufacturing-induced spatial variabilities in porosity. This simplification is made because of the prohibitive computation
Externí odkaz:
http://arxiv.org/abs/2205.12157
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 February 2025 434
Publikováno v:
In Advances in Engineering Software September 2024 195