Vector databases use hashing to partition data across"shards,"logical units for distributed execution. This placement, however, destroys semantic locality, forcing each query into scatter-gather limited by the slowest shard. Vector-space clustering can help, but scientific evidence is often connected by factual relatio...
Song Young Oh, Amal Gueroudji, Seth Ockerman et al.· 0 citations
Machine learning has transformed materials simulation by delivering force fields with ab initio accuracy, yet bridging the gap between high-dimensional regression and physical interpretability remains a grand challenge. Conventional analytical potentials offer transparency but often fail to capture the complexity of fa...
Bilvin Varughese, Aditya Koneru, Adil Muhammad et al.· 0 citations
Agent-E2MD is introduced, a knowledge-guided agentic workflow that translates user-specified interatomic models into executable LAMMPS pair styles and demonstrates that the software architecture for an interatomic potential can be inferred from its physical and mathematical structure.
Bilvin Varughese, Orcun Yildiz, Aditya Koneru et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.