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openalexZenodo (CERN European Organization for Nuclear Research)Cited by 0

Software and reproduction data for Algorithmic first-principles reaction discovery uncovers overlooked cubane transformations

Wataru Matsuoka, Taihei Oki, Kosaku Tanaka, Ren Yamada, Ruben Staub, Alexandre Varnek, Tsuyoshi Mita, Yu Harabuchi, Satoru Iwata, Satoshi Maeda

Reproduction data for the associated manuscript This record contains the software, input files, and precomputed data required to reproduce the calculations reported in Algorithmic first-principles reaction discovery uncovers overlooked cubane transformations The archive includes the VLA-PRO program package together with the input files and precomputed outputs required to reproduce the reaction-landscape interrogation and catalyst optimization calculations described in the manuscript. Detailed descriptions of the computational workflows are provided in the Supporting Information of the manuscript. The README files included in this archive describe the practical procedures for reproducing the calculations using the archived data. Publication Wataru Matsuoka, Taihei Oki, Kosaku Tanaka III, Ren Yamada, Ruben Staub, Alexandre Varnek, Tsuyoshi Mita, Yu Harabuchi, Satoru Iwata, and Satoshi Maeda Algorithmic first-principles reaction discovery uncovers overlooked cubane transformations ChemRxiv (2026) DOI: 10.26434/chemrxiv.15003539/v1 Contents Programs/ — VLA-PRO program package Reaction-landscape-interrogation-data/ — data required to reproduce Figure 2 Catalyst-optimization-reproduction-data/ — data required to reproduce Figure 3 Reaction-Mechanism-reproduction-data/— data required to reproduce Figure 4 Version note The archived programs are derived from the versions used in the manuscript calculations. Minor modifications were introduced after completion of the study to improve documentation, portability, and usability. These changes do not affect the reported results. Related record The neural network potential (NNP) used in this study is archived separately at DOI: 10.5281/zenodo.20094706

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openalexZenodo (CERN European Organization for Nuclear Research)

Trained neural network potential models for Algorithmic first-principles reaction discovery uncovers overlooked cubane transformations

Wataru Matsuoka, Taihei Oki, Kosaku Tanaka, Ren Yamada, Ruben Staub, Alexandre Varnek, et al.

This dataset contains the neural network potential (NNP) models used in the associated manuscript, including standalone executables and the Python interface for Au-, Ag-, and Cu-catalyzed systems. The models can be used together with the VLA-PRO package to reproduce the calculati…

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

locpix_points, aka ClusterNet, for graph-based deep learning of supracluster structure in point-cloud data

Oliver Umney, Alistair Curd

Release v0.1.1 · oubino/locpix_points / oubino/locpix_points at v0.1.1 This software is for classification of point-cloud data based on the features and spatial arrangement of clusters within the data. It uses graph-based neural networks, taking the point coordinates and their as…

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

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…

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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)2026-08-09

Smart Medical Libraries: Leveraging Artificial Intelligence for Knowledge Discovery

Mahammad Gula Ghouse Pasha

The exponential growth of biomedical data and clinical information necessitates the transformation of traditional medical libraries into intelligent knowledge ecosystems. This study explores the integration of artificial intelligence (AI) technologies-including natural language p…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

Predictive Maintenance of Power Transformers using Machine Learning- A Case Study

AMANING RICHMOND OFORI, Electronic Engineering, DR JOSEPH C. ATTACHIE

The importance of power transformers in electrical power systems cannot be overstated, as their failures can lead to considerable economic losses and disruptions. The typical malfunctions encountered by a power transformer comprise dielectric issues, thermal losses due to copper…

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