Sep 2026· Zenodo (CERN European Organization for Nuclear Research)· 2 references
Abstract
Full preprint of the Structural Harmonic Spectrum (SHS) study: the complete account, with the historical and methodological discussion, the proofs and the full result tables. The source code, the computed corpus of 288 structures over 581 crystallographically independent sites, the derived match listings and the rendered audio are deposited separately: https://doi.org/10.5281/zenodo.22873432. The Structural Harmonic Spectrum (SHS) maps the coordination geometry of an experimentally determined crystal structure onto musical pitch-class sets. Forevery crystallographically independent site the neighbourhood is partitioned into coordination shells by a stated geometric criterion; the shell radii are mapped to relative frequency by the convention f ∝ 1/r and folded into a pitch-class set in cents. No tuning system enters the construction, and every shell of this acoustic core is retained whether or not it approximates a musical interval, so the resulting sets are in general inharmonic and not confined to the 12-TET grid. The method is applied to the known allotropes of the elementary substances and to the structure types of inorganic compounds with the largest numbers of isotypic representatives, and yields several hundred distinct pitch-class sets; for orientation these are compared with the theoretical scales of a cross-cultural database and with chord templates, with deviations reported in cents. Each site, and the overlay of all sites of a structure, is rendered as a MIDI file. Version 1.1 (26 September 2026) supersedes the anonymous version deposited for review. It names the author and carries an ORCID iD on the title page; it adds a declaration of generative AI use; it defines the scattering vector where it is first used (q = 4π sin θ/λ), which the earlier version left implicit; the section on data and code availability has been rewritten for open access and renamed accordingly; and the typesetting no longer carries the identifiers of any journal. No result, figure, table or numerical value changed.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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