Aero Engine Corporation of China (China)

Rotating sound source localization has long been troubled by ghost sources: time-domain ROSI and frequency-domain MCB both fail to remove Doppler-induced spurious sources when array geometry is unconstrained. A ResNet network takes an MCB-derived cross-spectral matrix as input and outputs the source intensity distribution directly, reaching up to 98.83% localization accuracy in simulations with 16 microphones, 500 to 2500 rpm and 4500 to 5000 Hz, with inference within 50 milliseconds per case.

Rotating sound source localization has long been troubled by ghost sources: time-domain ROSI and frequency-domain MCB both fail to remove Doppler-induced spurious sources when array geometry is unconstrained. A ResNet network takes an MCB-derived cross-spectral matrix as input and outputs the source intensity distribution directly, reaching up to 98.83% localization accuracy in simulations with 16 microphones, 500 to 2500 rpm and 4500 to 5000 Hz, with inference within 50 milliseconds per case.

This work uses a random forest model to classify the phase composition of multi-rare-earth-principal-component RE2Si2O7 disilicates into single-beta, single-gamma, single-delta/mixed delta+gamma, and separate phase, identifies the average RE3+ cationic radius and the deviation of RE3+ cationic radius as the most influential factors, validates the model by predicting the phase compositions of (Gdx1Hox2Ybx3Lux4)2Si2O7 and (Ndx1Hox2Ybx3Lux4)2Si2O7 systems with experimental characterization of representative compositions, links phase formation through high-throughput DFT calculations to low energy costs for accommodating configurational randomness and rapid convergence of the configurational entropy of mixing with increased excitation energy, and establishes quantitative design criteria for si

This work uses a random forest model to classify the phase composition of multi-rare-earth-principal-component RE2Si2O7 disilicates into single-beta, single-gamma, single-delta/mixed delta+gamma, and separate phase, identifies the average RE3+ cationic radius and the deviation of RE3+ cationic radius as the most influential factors, validates the model by predicting the phase compositions of (Gdx1Hox2Ybx3Lux4)2Si2O7 and (Ndx1Hox2Ybx3Lux4)2Si2O7 systems with experimental characterization of representative compositions, links phase formation through high-throughput DFT calculations to low energy costs for accommodating configurational randomness and rapid convergence of the configurational entropy of mixing with increased excitation energy, and establishes quantitative design criteria for si