User Provided Thermal Parameters should be mentioned explicitly.

### 📝 Description of the feature

Currently, `ParametricStudy::generate_microstructure_permutations` takes the input `cooling_rate`, `thermal_gradient`, `melt_pool_width` and `melt_pool_depth` as arguments and passes it on to create a `MicrostructureInput`.

`MicrostructureInput` however has an additional argument `use_provided_thermal_parameters`, a `boolean` field that is set to `False` by default and `True` only if the user provides the above four arguments explicitly.

`ParametricStudy::generate_microstructure_permutations` sets the `use_provided_thermal_parameters` internally depending upon if the arguments have a `nan` or a `None` or an actual value specified and passes it while creating the `MicrostructureInput`

This needs to be enhanced by having the user explicitly mention `use_provided_thermal_parameters` in `ParametricStudy::generate_microstructure_permutations` along with the values of each of the four arguments.

The study data frame should have an additional column for `use_provided_thermal_parameters` and the fields for `cooling_rate`, `thermal_gradient`, `melt_pool_width` and `melt_pool_depth` should not be empty.

### 💡 Steps for implementing the feature

- `ParametricStudy::generate_microstructure_permutations` should have an additional argument `use_provided_thermal_parameters`
- `use_provided_thermal_parameters` is of type boolean and is `False` by default.
- If set to `True` ensure that all `cooling_rate`, `thermal_gradient`, `melt_pool_width` and `melt_pool_depth` fields have a float value otherwise throw an exception.
- If set to `False` these values should be the default values `MicrostructureInput` takes.
- The study data frame should have an additional column for `use_provided_thermal_parameters` and the other four columns should always have a value in them, whether default or the user provided value.

### 🔗 Useful links and references

_No response_

Start by locating ParametricStudy::generate_microstructure_permutations and MicrostructureInput, then trace how the study data frame is assembled. Verify the new boolean argument, validation and default handling against the issue, and confirm that the data frame includes use_provided_thermal_parameters plus populated thermal-parameter fields in both modes.

Written by the indexing model from the issue text.