Focal Interest
Focal Interest

Waveform

  1. Transition-to-plunge self-force waveforms with a spinning primary
    Extending multiscale self-force models for asymmetric black hole binaries with spinning primaries through transition-to-plunge phase for gravitational-wave detection.
  2. Physics-guided machine learning improved waveform prediction under sparse data
    Physics-guided machine learning framework predicts quasi-isentropic waveforms from sparse data, achieving 96% accuracy and reducing computational resource requirements for material design.
  3. Beam integration reduced low-frequency impact sound in CLT floors
    Beam integration in CLT floors reduces low-frequency impact noise; LAFmax metric demonstrates strong perceptual validity for floor-impact design in timber construction.