CORTEXA
← Browse
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

Also available via: European Organization for Nuclear Research

View free PDFSource page

Related papers

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…

View free PDFSource page
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…

View free PDFSource page
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…

Also available via: European Organization for Nuclear Research

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

FLDR

Kazi Asif, Kazi Andelib Mamun

FLDR: Fault Line Detection in Robotics FLDR is an open-source Python framework for developing, testing, and evaluating fault detection workflows for robotic inspection systems. The project provides a modular architecture for working with one-dimensional sensor signals, enabling r…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Analysis scripts supporting the study of plasma-derived exosomal miRNAs associated with low muscle mass in Tibetan patients with rheumatoid arthritis

Mo Chen

This repository contains the custom analysis scripts and workflow materials supporting the manuscript entitled “Machine learning identifies plasma-derived exosomal miRNAs associated with low muscle mass in Tibetan patients with rheumatoid arthritis.” The archived files include sc…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-08-09

Smart Digital Libraries: Leveraging AI for Intelligent Information Services

Chandregowda S.

Digital libraries have evolved from static repositories of digitized resources into dynamic knowledge ecosystems that support learning, research, and innovation. Recent advances in artificial intelligence (AI) are accelerating this transformation by enabling intelligent informati…

Also available via: European Organization for Nuclear Research

View free PDFSource page