open_problem: ax-2606.07327-558bc342
This data as json
| id | statement | domain | sourced_how | source_url | cheapest_test | status | claimed_by | sourced_by | shape | created_ts | updated_ts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ax-2606.07327-558bc342 | Why do models fail to capture long-range interactions? (Message Passing Neural Networks (MPNNs), one of the most widely used architectures for MLIPs, exhibit a local inductive bias , as message aggregation for each node is typically limited to its neighbourhood. This locality reflects the assumption that short-range interactions (up to a large enough receptive field) govern the physics, while taking into account the limitations due to computing costs:…) | condensed matter physics / cond-mat.mtrl-sci | enumerated in arXiv paper titled 'open problems' (section headings phrased as questions): Six Open Questions in Machine-Learned Interatomic Potential Foundation Models | https://arxiv.org/abs/2606.07327 | open | ts-synth | unclassified | 2026-09-02T17:57:21Z | 2026-09-02T17:57:21Z |
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