All Outputs (2)

Deep reinforcement learning for microstructural optimisation of silica aerogels (2024)
Journal Article
Pandit, P., Abdusalamov, R., Itskov, M., & Rege, A. (in press). Deep reinforcement learning for microstructural optimisation of silica aerogels. Scientific Reports, 14(1), 1511. https://doi.org/10.1038/s41598-024-51341-y

Silica aerogels are being extensively studied for aerospace and transportation applications due to their diverse multifunctional properties. While their microstructural features dictate their thermal, mechanical, and acoustic properties, their accura... Read More about Deep reinforcement learning for microstructural optimisation of silica aerogels.

On the origin of power-scaling exponents in silica aerogels (2023)
Journal Article
Aney, S., Pandit, P., Ratke, L., Milow, B., & Rege, A. (in press). On the origin of power-scaling exponents in silica aerogels. Journal of Sol-Gel Science and Technology, https://doi.org/10.1007/s10971-023-06156-0

The macroscopic properties of open-porous cellular materials hinge upon the microscopic skeletal architecture and features of the material. Typically, bulk material properties, viz. the elastic modulus, strength of the material, thermal conductivity,... Read More about On the origin of power-scaling exponents in silica aerogels.