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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.
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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.
