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AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution — arXiv:2609.31133

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.31133
License (as archived): CC0-1.0
Archived: 2026-10-08T01:38:33.801Z
SHA-256 of the archived text: 3295bbb0c70ef6cda32f62712da85674b2b9254de2b4b5f96a5e8da53c52e65c
Stable URL of this page: https://metraipolis.com/documento/dc_aa2fc4675abc

How to cite

AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution — arXiv:2609.31133 — arXiv (en), https://arxiv.org/abs/2609.31133 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_aa2fc4675abc (Metraipolis archive dc_aa2fc4675abc, sha256 3295bbb0c70ef6cda32f62712da85674b2b9254de2b4b5f96a5e8da53c52e65c)

BibTeX

@misc{dcaa2fc4675abc,
  title = {AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution — arXiv:2609.31133},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.31133},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_aa2fc4675abc; sha256 3295bbb0c70ef6cda32f62712da85674b2b9254de2b4b5f96a5e8da53c52e65c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.31133. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

High-fidelity atomistic evolution over long timescales requires more than observing the current crystal configuration. Instantaneous atomistic snapshots are often incomplete: locally similar configurations can correspond to different hidden dynamical contexts, future event preferences, and waiting-time scales. We argue that this snapshot ambiguity makes long-horizon atomistic evolution fundamentally a memory-based world-state restoration problem. To address this, we introduce AtomWorld-Mem, a memory-restored atomistic world model that recovers the latent world state missing from instantaneous crystal snapshots. AtomWorld-Mem treats the evolving alloy as an AtomWorld: spatial encoders write multi-scale atomistic keyframes from dense local topology and sparse long-range defect context, while short-term event memory and long-term structural memory integrate these keyframes across time to restore a future-predictive evolutionary state. The restored state is used to prioritize legal vacancy-mediated events under single-event Kinetic Monte Carlo (KMC) constraints, while event legality, physical execution, and residence-time updates remain governed by the underlying simulator. Empirically, AtomWorld-Mem improves long-horizon atomistic progress under fixed microscopic event budgets while maintaining high-fidelity evolution across energetic, structural, and vacancy-transport observables. It further transfers zero-shot across diverse unseen alloy-temperature AtomWorlds, suggesting that the learned memory-restoration mechanism captures reusable principles of hidden-state inference rather than a system-specific local energy heuristic. These results position memory-restored world-state modeling as a promising route toward efficient, physically grounded, and transferable atomistic evolution.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-28 in cs.AI).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Materials Science (cond-mat.mtrl-sci).
Pagina del lavoro: https://arxiv.org/abs/2609.31133 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-08T01:12:14.341Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-09-28?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).