- Predicting spatial distribution of ultraviolet irradiance and disinfection of exhaled bioaerosols with a modified irradiance model. Dans: Building and Environment, v. 228 (janvier 2023). (2023):
- A reinforcement learning approach for control of window behavior to reduce indoor PM2.5 concentrations in naturally ventilated buildings. Dans: Building and Environment, v. 200 (août 2021). (2021):
- Influence of nanofiber window screens on indoor PM2.5 of outdoor origin and ventilation rate: An experimental and modeling study. Dans: Building Simulation, v. 13, n. 4 (juin 2020). (2020):
- An optimization approach for fabricating electrospun nanofiber air filters with minimized pressure drop for indoor PM2.5 control. Dans: Building and Environment, v. 188 (janvier 2021). (2021):
- Relationship between pressure drop and face velocity for electrospun nanofiber filters. Dans: Energy and Buildings, v. 158 (janvier 2018). (2018):
- Toward understanding the evolution of incense particles on nanofiber filter media: Its influence on PM2.5 removal efficiency and pressure drop. Dans: Building and Environment, v. 172 (avril 2020). (2020):
- Differentiating between indoor exposure to PM2.5 of indoor and outdoor origin using time-resolved monitoring data. Dans: Building and Environment, v. 147 (janvier 2019). (2019):