Computer-implemented method, system and computer program for thermal analysis of a sample of a substance

One or more non-transitory electronic storage devices comprising a computer program for thermal analysis of a sample of a substance, said computer program comprising:

• a first software module configured to, when executed, configure one or more processors to:
• receive first data representing a response signal of said sample subjected to an excitation which generates an observable response and said excitation as a function of time as an input, said response signal being representative of a thermal effect due to said sample;
• and
• calculate a thermoanalytical measurement curve which allows the identification of said thermal effect and to output second data suitable for representing said measurement curve;
• a second software module comprising an artificial intelligence engine configured to, when executed, configure the one or more processors to automatically identify thermal effects, wherein said second software module, when executed, configures the one or more processors to receive said second data as an input and to output third data representative of said thermal effect identified by said artificial intelligence engine.

One or more non-transitory electronic storage devices comprising a training software module of a computer program for thermal analysis of a sample of a substance, wherein said training software module, when executed, configures the one or more processors to:

• receive expert training data comprising data sets of second and third training data, said second training data being suitable for representing a training measurement curve due to a training sample, said training measurement curve allowing the identification of at least one thermal training effect due to said training sample, and said third training data being representative of said thermal training effect;
• and/or
• create said expert training data by receiving second data suitable for representing a thermoanalytical measurement curve which allows the identification of at least one thermal training effect from a first software module, and creating an associated third data from a human input representative of a human identification of the at least one thermal training effect, wherein said first software module comprises software instructions stored at the one or more non-transitory electronic storage devices, which when executed, configures the one or more processors to:
• receive first data representing a response signal of said sample subjected to an excitation which generates an observable response and said excitation as a function of time as an input, where said response signal is representative of a thermal effect due to said sample;
• and
• calculate a thermoanalytical measurement curve which allows the identification of said thermal effect and to output second data suitable for representing said measurement curve:
• create a trained sub engine based on the training data, the trained sub engine being suitable to be deployed to a second software module comprising an artificial intelligence engine, which when executed, configures the one or more processors to automatically identify thermal effects, wherein said second software module, when executed, configures the one or more processors to receive said second data as an input and to output third data representative of said thermal effect identified by said artificial intelligence engine.