1. Experiment design and acquisition
Appropriate diffusion sequences (e.g. PGSE, DOSY) are designed and acquired for the system of interest
(polymers in solution, complex mixtures, etc.). Gradient amplitudes, timings and temperature are chosen
to ensure informative attenuations compatible with the diffusion models.
2. Data import and preprocessing
DiffAtOnce imports NMR data, extracts relevant attenuations and builds the matrices required for
inverse Laplace transform and related inversion algorithms. At this stage, basic filters and quality
checks can be applied.
3. Inversion and distribution retrieval
Specialized ILT algorithms (and, when appropriate, AI models) are used to obtain distributions of
diffusion coefficients or other related quantities. These distributions are interpreted in terms of
structures, hydrodynamic sizes or populations of species.
4. Calibration and molecular weight
By applying universal calibration curves and scaling laws developed in FUNPOLYMER, diffusion results
are transformed into molecular weight distributions, enabling direct comparison with other techniques
and industrial standards.
5. Visualization and export
The software facilitates visualization of diffusion and molecular weight profiles, as well as the
export of tables and figures to interoperable formats for reports, electronic lab notebooks or
scientific publications.
6. Integration with other workflows
Results can be integrated with other pipelines (e.g. statistical analysis, quality models, process
control systems), facilitating the transfer of the methodology to industrial or applied research
contexts.