Apr 26, 2024
2:30pm - 2:45pm
Room 327, Level 3, Summit
Carlos Diaz1,Lorenzo Masetti1,Miles Roper1,Kezia Hector1,Yang Zhong1,Zhengmao Lu1,Gustav Graeber1,Jeffrey Grossman1,Gang Chen1
Massachusetts Institute of Technology1
Carlos Diaz1,Lorenzo Masetti1,Miles Roper1,Kezia Hector1,Yang Zhong1,Zhengmao Lu1,Gustav Graeber1,Jeffrey Grossman1,Gang Chen1
Massachusetts Institute of Technology1
Moisture-capturing hydrogels have emerged as promising low-cost sorbent materials for applications including thermal management, thermal energy storage, and atmospheric water harvesting. Despite extensive efforts in the synthesis of novel hydrogels, there is a major knowledge gap between the synthesis variables and the material properties, which hinders the design of properties and system-level optimization. In this work, we develop physics-based models to predict the properties of moisture-capturing hydrogels from their composition. We develop and experimentally validate thermodynamic models that accurately predict the water uptake and absorption enthalpy as a function of humidity as relevant hydrogel synthesis variables are changed. We also develop mass transport models, using a convection-limited transport description, that accurately predict experimental absorption and desorption speeds. This work represents a major step in the design of moisture-capturing hydrogels, enabling application optimization for high performance thermal management of electronics, buildings, and people, heat storage, and atmospheric water production.