Author

Yaohang Li

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Preprint Aug 2026

Direct Bayesian Inference of Helicity Amplitudes from Detector-Level Scattering Data

Helicity amplitudes give the most complete description of a variety of scattering reactions used in studies of strong interactions, but they cannot be measured directly: experiments record bilinear combinations of them folded through a detector response, and conventional analyses recover them through multiple stages th...

Bhawani Singh, H. Avakian, S. Bhattacharya et al. · 2 citations

Preprint Aug 2026

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design

This paper proposes PolymerGPT, a decoder-based GPT model that incorporates up to 37 commonly used polymer properties into the generative process via learned conditioning prefixes, and supports a scaffold condition that specifies a desired scaffold for predicted structures.

C. Pyle, A. Gadari, C. A. Figg et al. · 0 citations