:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Monteiro, Pedro T., Gouveia, Filipe
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science
Online Access:	https://arxiv.org/abs/2605.19046
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

pyCFS-data: Data Processing Framework in Python for openCFS
by: Wurzinger, Andreas, et al.
Published: (2024)

GEDICorrect: A Scalable Python Tool for Orbit-, Beam-, and Footprint-Level GEDI Geolocation Correction
by: Corado, Leonel, et al.
Published: (2025)

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter
by: Rodriguez, Simon, et al.
Published: (2022)

QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models
by: Biehler, Jonas, et al.
Published: (2025)

PyHexTop: a compact Python code for topology optimization using hexagonal elements
by: Agarwal, Aditi, et al.
Published: (2023)

PyTOPress: Python code for topology optimization with design-dependent pressure loads
by: Saxena, Shivajay, et al.
Published: (2024)

PyTOaCNN: Topology optimization using an adaptive convolutional neural network in Python
by: Chadha, Khaish Singh, et al.
Published: (2024)

Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging
by: Brunet, Joseph, et al.
Published: (2025)

optipoly: A Python package for boxed-constrained multi-variable polynomial cost functions optimization
by: Alamir, Mazen
Published: (2024)

GPU-Accelerated Charge-Equilibration for Shadow Molecular Dynamics in Python
by: Kaymak, Mehmet Cagri, et al.
Published: (2025)

PRCpy: A Python Package for Processing of Physical Reservoir Computing
by: Youel, Harry, et al.
Published: (2024)

ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents
by: Li, Zhucong, et al.
Published: (2025)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)

Blockchain and Carbon Markets: Standards Overview
by: Baiz, Pedro
Published: (2024)

ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents
by: Di, Shimin, et al.
Published: (2026)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026)

CardioFit: A WebGL-Based Tool for Fast and Efficient Parameterization of Cardiac Action Potential Models to Fit User-Provided Data
by: Cairns, Darby I., et al.
Published: (2025)

Single Atom Convolutional Matching Pursuit: Theoretical Framework and Application to Lamb Waves based Structural Health Monitoring
by: Rodriguez, Sebastian, et al.
Published: (2024)

Simplest Mechanism Builder Algorithm (SiMBA): An Automated Microkinetic Model Discovery Tool
by: Servia, Miguel Ángel de Carvalho, et al.
Published: (2024)

KANOP: A Data-Efficient Option Pricing Model using Kolmogorov-Arnold Networks
by: Handal, Rushikesh, et al.
Published: (2024)

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
by: Deng, Zheye, et al.
Published: (2025)

Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam
by: Sahin, Tarik, et al.
Published: (2024)

Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach
by: Naghavi, Ehsan, et al.
Published: (2024)

Auditing Reproducibility in Non-Targeted Analysis: 103 LC/GC--HRMS Tools Reveal Temporal Divergence Between Openness and Operability
by: Alsubaie, Sarah, et al.
Published: (2025)

Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks
by: Bhatnagar, Saakaar
Published: (2023)

Developing an ESG-Oriented Large Language Model through ESG Practices
by: Assis, Gabriel, et al.
Published: (2026)

A Data-Enhanced Agent-Based Model for Simulating 3D Cancer Spheroid Growth: Integrating Metabolism and Mechanics
by: Garcia-Gomez, Pedro, et al.
Published: (2025)

Error Approximation and Bias Correction in Dynamic Problems using a Recurrent Neural Network/Finite Element Hybrid Model
by: von Tresckow, Moritz, et al.
Published: (2023)

Strengthening Infrastructure Resilience to Hurricanes by Modeling Transportation and Electric Power Network Interdependencies
by: Jamal, Tasnuba Binte, et al.
Published: (2024)

Identifying and Quantifying Financial Bubbles with the Hyped Log-Periodic Power Law Model
by: Cao, Zheng, et al.
Published: (2025)

Automated Reasoning in Systems Biology: a Necessity for Precision Medicine
by: Martires, Pedro Zuidberg Dos, et al.
Published: (2024)

ChemToolAgent: The Impact of Tools on Language Agents for Chemistry Problem Solving
by: Yu, Botao, et al.
Published: (2024)

A Hybrid Neural Network Model For Predicting The Nitrate Concentration In The Recirculating Aquaculture System
by: Fan, Xiangyu, et al.
Published: (2024)

Soft Computing Tools To Predict Varied Weight Components, Material and Tribological Properties of Al2219-B4C-Gr
by: Chatterjee, Maitreyi, et al.
Published: (2025)

GRATEV2.0: Computational Tools for Real-time Analysis of High-throughput High-resolution TEM (HRTEM) Images of Conjugated Polymers
by: Gamdha, Dhruv, et al.
Published: (2024)

A Hereditary Integral, Transient Network Approach to Modeling Permanent Set and Viscoelastic Response in Polymers
by: Castonguay, Stephen T., et al.
Published: (2025)

Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage
by: Tang, Haoyu, et al.
Published: (2024)

XLB: A differentiable massively parallel lattice Boltzmann library in Python
by: Ataei, Mohammadmehdi, et al.
Published: (2023)

A Deep Learning Framework for Medium-Term Covariance Forecasting in Multi-Asset Portfolios
by: Reis, Pedro, et al.
Published: (2025)

Kolmogorov-Arnold Network for Gene Regulatory Network Inference
by: Tong, Tsz Pan, et al.
Published: (2025)