SMILE¶
SMILE: Soundscape engineering with Metamaterial Innovation and LEarning is a Swedish Research Council (VR) research project (2026–2029).
We develop an integrated engineering framework that combines:
- Soundscape design (human-centered design + perception)
- Acoustic metamaterials (advanced structures that manipulate sound waves)
- Machine learning (ML) for inverse design and optimization
The goal is to go beyond decibel reduction and instead enable pleasant, healthy, and context-appropriate sound environments.
What we aim to deliver¶
- A perceptually-driven inverse design loop connecting acoustic simulation → ML optimization → human validation
- Novel metamaterial concepts for broadband sound management, including adaptive / topological approaches
- Open research outputs: publications, software, datasets, and demonstrators
Why it matters¶
Environmental noise is traditionally treated as a pollutant. SMILE explores how sound can be managed as a resource—reducing harmful noise while shaping better soundscapes in vehicles and cities.
Independent review highlights¶
From the VR review panel (Natural and Engineering Sciences, NT‑N):
“This is a very strong application with only minor weaknesses… The goal is to go beyond simple noise reduction and instead engineer more pleasant and healthy soundscapes.”
“The concept of a perceptually driven inverse design loop is highly original and presents significant practical challenges.”
(Quoted from the final statement from the review panel for the application.)