arXiv (All)
open access
A Machine-Learned Interatomic Potential Free-Energy Surface for the First Step of MIL-101(Cr) Secondary Building Unit Formation
Metal-organic framework (MOF) self-assembly mechanisms remain poorly characterized because ab initio molecular dynamics (AIMD) are accurate but too computationally expensive to converge the free-energy surfaces (FES) that govern secondary building unit (SBU) nucleation and growth. This work addresse
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Metal-Dependent Adsorption Mechanism in Perfluorinated MIL-140A Metal–Organic Frameworks#304797
- A Linear-Scaling, Charge-Aware Foundation Potential for Atomistic Simulations#612869
- A Linear-Scaling, Charge-Aware Foundation Potential for Atomistic Simulations#611392
- 1D Self-Assembly Formed by Dicyano[7]H Molecules with Cu Adatoms on Au(111) Aligned by Noncovalent Interactions#1146611
- Simulation par éléments finis de la rupture de structures fragiles sous solicitations thermo-chemo-mécaniques#684876
Record · ID 1143119
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive