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P. Asinari

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Open access Sep 2026

Screening novel cathode materials from the Energy-GNoME database using foundation machine learning force fields and DFT

The development of new cathodes is essential for enabling next generation energy storage technologies. Here, we introduce a multi-fidelity workflow that bridges AI-based candidate identification and density functional theory refinement for accelerated discovery of cathode materials. Starting from the Energy-GNoME dat...

Nada Alghamdi, P. de Angelis, P. Asinari et al. · 0 citations
Review Open access 2026

Extending the Step-by-Step HHL Algorithm Walkthrough: Advanced Concepts for Practical Quantum Computing Applications

Quantum computing has generated significant expectations within the scientific community. However, the development of noise-resilient quantum computers capable of addressing a broad class of practical problems is expected to require at least another decade. During this ongoing evolution, rigorous step-by-step tutorials...

P. Asinari, Matteo Maria Piredda, Giulio Barletta et al. · 0 citations

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