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STAR-XPC model estimates X-ray transmission in milliseconds

By PulseAugur Editorial · [1 sources] ·

Researchers have developed STAR-XPC, a Set Transformer model designed to estimate X-ray transmission in polymer composites. This model significantly accelerates the process compared to traditional Monte Carlo simulations, reducing computation time from hours to milliseconds. STAR-XPC utilizes a chemistry-pretrained transformer language model, ChemBERTa, and demonstrates high accuracy in predicting energy transmission ratios, achieving an R-squared value of 0.9988. AI

IMPACT Accelerates scientific simulation for radiation shielding studies, enabling faster material analysis.

RANK_REASON The cluster contains a research paper detailing a new model and its performance on a specific scientific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

STAR-XPC model estimates X-ray transmission in milliseconds

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The cluster contains a research paper detailing a new model and its performance on a specific scientific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Can Erer, H. Birkan Yilmaz, Nebahat Aral ·

    STAR-XPC: Set Transformer for Estimating X-ray Transmission in Polymer Composites

    arXiv:2610.28709v1 Announce Type: new Abstract: Evaluating the energy transmission ratio of an X-ray beam through a polymer composite is a challenging task in radiation shielding studies. The reference solution with Monte Carlo transport simulation is highly accurate but computat…

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