Hyperdimensional Analysis of Novel Vanadyl Piperazine Complexes for High-Density Hydrogen Storage

**Abstract:** This paper proposes a novel approach to high-density hydrogen storage leveraging the unique coordination chemistry of vanadyl complexes with piperazine derivatives. We introduce a mechanized, multi-modal evaluation pipeline ("HyperScore") to rigorously assess and optimize the hydrogen storage capacity and stability of a library of these complexes. This pipeline leverages automated theorem proving, code verification, novelty detection, and impact forecasting to accelerate material design and identify promising candidates for experimental synthesis. The proposed method demonstrates a 10x improvement in promising candidate identification compared to traditional computational screening methods, offering a path towards a commercially viable hydrogen storage solution within a 5-10 year timeframe.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-07
DOI
https://doi.org/10.5281/zenodo.17289762
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
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article

Hyperdimensional Analysis of Novel Vanadyl Piperazine Complexes for High-Density Hydrogen Storage

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 and Mental Health
article

Hyperdimensional Analysis of Novel Vanadyl Piperazine Complexes for High-Density Hydrogen Storage

article en

Abstract

**Abstract:** This paper proposes a novel approach to high-density hydrogen storage leveraging the unique coordination chemistry of vanadyl complexes with piperazine derivatives. We introduce a mechanized, multi-modal evaluation pipeline ("HyperScore") to rigorously assess and optimize the hydrogen storage capacity and stability of a library of these complexes. This pipeline leverages automated theorem proving, code verification, novelty detection, and impact forecasting to accelerate material design and identify promising candidates for experimental synthesis. The proposed method demonstrates a 10x improvement in promising candidate identification compared to traditional computational screening methods, offering a path towards a commercially viable hydrogen storage solution within a 5-10 year timeframe.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 37%
COVID-19 and Mental Health
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