NCBI PubMed Central
open access
Rational Design of Single-Phase High-Entropy Oxides via Large Language Model Data Mining and Explainable Machine Learning.
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
- Energy-Efficient Code Generation Using Large Language Models: A Systematic Literature Review#1048583
- Interface-related phenomena in epitaxial complex oxide ferroics across different thin film platforms: opportunities and challenges.#440219
- To Think or Not to Think: Allocating Reasoning Where It Helps#1077591
- PALS: Power-Aware LLM Serving for Mixture-of-Experts Models#216789
- Understanding Adsorption and Reactions at Aqueous Oxide Interfaces with Neural Network Potential Molecular Dynamics.#412197
Record · ID 182440
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