TGA-Centered Thermal Platform
Predictive thermogravimetric analysis, decomposition profiling, and structure-assisted thermal stability screening.
Experimental Conditions
Run Snapshot
Output Section
Mass retention is estimated from structure-derived descriptors and selected run conditions.
Upload fixed-temperature TGA runs and linearize alpha-time data using classic solid-state rate functions.
Rate constants from the isothermal matrix are regressed as ln(k) versus 1/T to calculate Ea and ln A.
Regression uses ln(k) versus 1000/T from the selected isothermal model. Ea and ln A refresh whenever the rate fit changes.
Iso-conversion regressions from alpha 0.05 to 0.95 are plotted as log10(beta) versus inverse conversion temperature.
Multi-rate kinetics are projected into accelerated stability hold conditions for screening.
Activation energy is mapped as a function of total conversion alpha.
Convert desolvation mass delta into MOF/COF pore occupancy volume using unit-cell volume and Z-value.
Server-side RDKit structure depiction paired with experimental and GNN-predicted thermal profiles.
Insight Panel
