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researcher

U. Braga-Neto

36 papers hereh-index 375.3k citations222 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • middle author16
  • last author18

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • cs.LG15
  • cs.CV4
  • astro-ph.HE3
  • cs.AI2
  • physics.flu-dyn2
  • q-bio.GN2

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedSelf-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

126 citations · 403 across the 35 of their papers we have counts for

collaborators
Showing astro-ph.HEShow all

3 papers · 1 filter

astro-ph.HE2026

High-Redshift Type Ia Supernovae Exhibit Enhanced Calcium Abundances

Xingzhuo Chen, Ulisses Braga-Neto, Lifan Wang

Type Ia supernovae (SNe Ia) are major contributors to cosmic chemical enrichment, and their elemental abundances provide a probe of progenitor properties and explosion physics acro…

astro-ph.HE2025

SEDONA-GesaRaT: an AI-Accelerated Radiative Transfer Program for 3-D Supernova Simulations

Xingzhuo Chen, Ulisses Braga-Neto, Lifan Wang +5

We present SEDONA-GesaRaT, a rapid code for supernova radiative transfer simulation developed based on the Monte-Carlo radiative transfer code SEDONA. We use a set of atomic physic…

astro-ph.HE2022★ 2 cited

Using Physics Informed Neural Networks for Supernova Radiative Transfer Simulation

Xingzhuo Chen, David J. Jeffery, Ming Zhong +3

We use physics informed neural networks (PINNs) to solve the radiative transfer equation and calculate a synthetic spectrum for a Type Ia supernova (SN~Ia) SN 2011fe. The calculati…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.