AT Collections – Computation and Acoustics
Computational methods play a prominent role in all areas of acoustical research. They are used, for example, to model sound waves propagating in complex environments and interactions between sound waves and vibrating structures, and to visualize and identify patterns in complex datasets. This collection includes general articles on computational acoustics, and several articles describing applications to ocean acoustics, room acoustics, musical acoustics, and virtual acoustic environments.
(prepared by D. Keith Wilson)
Uncertainty in Acoustical Modeling – Sheri L. Martinelli, D. Keith Wilson, Andrew S. Wixom, and Chris L. Pettit
How Machine Learning Contributes to Solve Acoustical Problems – Marie A. Roch, Peter Gerstoft, Bozena Kostek, and Zoi-Heleni Michalopoulou
Computational Methods and Techniques Across Acoustics – Grant C. Eastland
Simulation-Based Auralization of Room Acoustics – Lauri Savioja and Ning Xiang
Solving Complex Acoustic Problems Using High-Performance Computations- Gregory Bunting
Are Virtual Sounds Real? – Michael Vorländer
Synthesis of Musical Instrument Sounds: Physics-Based Modeling or Machine Learning? – Scott H. Hawley, Vasileios Chatziioannou, and Andrew Morrison
Computational Acoustics in Oceanography: The Research Roles of Sound Field Simulations – Timothy F. Duda, Julien Bonnel, Emanuel Coelho, and Kevin D. Heaney
Computational Acoustics – D. Keith Wilson
