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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24Cited by 0

gabirox03/GroundStateMatterSU2: Variational Monte Carlo for SU(2) Ground State

Gabriel do Carmo Rouxinol

This code implements a Variational Monte Carlo algorithm where the total state is taken as a superposition of fermionic gaussian States combined with a machine learning-based gauge wavefunction. This code was used to study a magnetic versus fermionic phase transition and the confined-deconfined crossover.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Reproducibility archive for "Risk-averse optimization of Internet of Things sensor placement in semiconductor wastewater networks: A mass-balanced simulation and Monte Carlo framework"

Liang-Cheng Chang

This record contains the complete anonymized reproducibility archive for the manuscript “Risk-averse optimization of Internet of Things sensor placement in semiconductor wastewater networks: A mass-balanced simulation and Monte Carlo framework.” The archive includes three reconst…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Resolving the Full Modular Data of a Doubled-Fibonacci String-Net on a Finite Torus by Point-Group Rotation, and an Obstruction to Quasi-One-Dimensional Anyon Exchange

Berkay Yüksel Sayim

We report a real-space resolution of the full modular data of a doubled-Fibonacci Levin–Wen string-net, obtained by exact diagonalization on finite torus supercells (2×2, 2×3, 3×3), together with a sharply scoped negative result for the dynamical half of the same program — and we…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Computational framework for integrated biorefinery simulation (BPC)

Ruby Sandy Moreno Mejia, Arnulfo Villanueva-Castillo, C.F. Pastelín, Claudia Mancilla-Simbro, Briseida Lucía Blanco Alfonso, ERICK FERNANDEZ MENESES, et al.

This repository contains the MATLAB scripts, input data, and model parameters for the computational simulation of an integrated multi-product biorefinery processing 2,740 t/day of mixed sugarcane bagasse and pineapple residues. The simulation encompasses four processing stages —…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

A Theoretically Grounded Spiking Neural Network Architecture for Real-Time Intracortical Signal Processing: Epistemological Foundations, Mathematical Guarantees, Computationally Verified Results, and Falsifiable Predictions for Closed-Loop Brain–Computer Interfaces

Sami Shibah

Epistemological position. This work adopts a critical-rationalist stance (Popper, 1959): every theoretical claim is stated as a conjecture subject to empirical falsification, with quantitative rejection thresholds fixed a priori. Every mathematical guarantee is derived from expli…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

SPNN-QVI: Scaled Projection Neural Network for Quasi-Variational Inequalities

Mohammed Alshahrani, Qamrul Hasan Ansari

Julia implementation of a scaled projection neural network for quasi-variational inequalities with state-dependent constraint set S(x) = m(x) + S and fixed symmetric positive-definite matrix M. Integrates the continuous-time dynamics dx/dt = lambda * [P_{S(x),M^{-1}}(x - alpha *…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Integrated Comparative Simulation and Ablation Analysis of the Bozkurt Motor Upgrade Architecture: A Safety-First Digital-Twin Methodology Combining CLF-CBF Control, Topology-Constrained Flow Design, Thermal Management, and Infrared-Radiance Reduction

Halil Özbil

This work presents the fourth and integrating paper in the Bozkurt Motor Upgrade (BMU) research series and develops a safety-first digital-twin methodology for the comparative evaluation of the complete BMU architecture. The study combines the three preceding research layers with…

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