arXiv (All)
open access
Systematic Study of Proton, Two-Proton, Alpha, and Cluster Radioactivity Half-Lives based on the Deformed Gamow-like Model and Tabular Prior-data Fitted Network ($\mathrm{TabPFN}$)
A hybrid framework combining the deformed Gamow-like model ($\mathrm{DGLM}$) with the Tabular Prior-data Fitted Network ($\mathrm{TabPFN}$) is developed to improve half-life predictions for two-proton emission, proton emission, $α$ decay, and cluster radioactivity. A total of 583 radioactive nuclei
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
- Modeling variable interactions using Bayesian networks to identify direct predictors of radiation-induced optic neuropathy after proton therapy: implications for personalized toxicity risk stratification#284309
- Forty Years of Exponential Decay: Gamma-Ray Spectroscopic Comparison of Chernobyl Airborne Fallout in Northwestern Greece#374309
- Cluster Size Analysis for γH2AX Assay: A Novel Tool for DNA Damage Quantification in Cells with Diverse Radiosensitivity.#295665
- ERAF4XRD: A multimodal agentic framework for constructing validated experimental X-ray diffraction databases from scientific literature#1014877
- Nuclear Waste Cleanup: Better Data and Project Prioritization Vital to Managing Aging Infrastructure and Communicating Needs#176580
Record · ID 1036041
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