Other groups have experimented different data-based approaches for the determination of thermal behavior of MOFs. Nandy et al. have used the natural language processing to mine information about solvent removal and thermal stability of MOFs from the published literature, coming up with a data set of 3,000 MOFs and associated thermal decomposition temperatures. In 2023, Islamov et al. used a computational high-throughput screening setup to study the thermal conductivity of 10,194 hypothetical MOFs created using the ToBaCCo software. While this represents a systematic study over a large set of structures, to work at this scale the authors had to rely on a very generic force field (UFF4MOF), which limits the accuracy of their results obtained.