AC Voltammetry

Create AC Voltammetry method parameters.

In AC Voltammetry a potential scan is made with a superimposed sine wave which has a relatively small amplitude (normally 5 – 10 mV) and a frequency of 10 – 2000 Hz.

The AC signal superimposed on the DC-potential results in an AC response (i ac rms). The resulting AC response is plotted against the potential.

Methods:

• to_dict –

  Return the technique instance as a new key/value dictionary mapping.

• from_dict –

  Structure technique instance from dict.

• from_method_id –

  Create new instance of appropriate technique from method ID.

Attributes:

• general (General) –

  Sets general/other settings.

• data_processing (DataProcessing) –

  Set the data processing settings.

• measurement_triggers (MeasurementTriggers) –

  Set the trigger at measurement settings.

• equilibrion_triggers (EquilibrationTriggers) –

  Set the trigger at equilibration settings.

• post_measurement (PostMeasurement) –

  Set the post measurement settings.

• versus_ocp (VersusOCP) –

  Set the versus OCP settings.

• pretreatment (Pretreatment) –

  Set the pretreatment settings.

• current_range (CurrentRange) –

  Set the autoranging current.

• id (Literal['acv']) –

  Unique method identifier.

• equilibration_time (float) –

  Equilibration time in s.

• begin_potential (float) –

  Potential where the scan starts at in V.

• end_potential (float) –

  Potential where the scan stops at in V.

• step_potential (float) –

  Potential step size in V.

• ac_potential (float) –

  RMS amplitude of the applied sine wave in V.

• frequency (float) –

  Frequency of the applied AC signal in HZ.

• scanrate (float) –

  The applied scan rate in V/s

• measure_dc_current (bool) –

  Measure the DC current seperately.

general: General = Field(default_factory=General)

data_processing: DataProcessing = Field(default_factory=DataProcessing)

measurement_triggers: MeasurementTriggers = Field(default_factory=MeasurementTriggers)

equilibrion_triggers: EquilibrationTriggers = Field(default_factory=EquilibrationTriggers)

post_measurement: PostMeasurement = Field(default_factory=PostMeasurement)

versus_ocp: VersusOCP = Field(default_factory=VersusOCP)

pretreatment: Pretreatment = Field(default_factory=Pretreatment)

current_range: CurrentRange = Field(default_factory=CurrentRange)

id: Literal['acv'] = 'acv'

equilibration_time: float = 0.0

begin_potential: float = -0.5

end_potential: float = 0.5

step_potential: float = 0.1

ac_potential: float = 0.01

frequency: float = 100.0

scanrate: float = 1.0

measure_dc_current: bool = False

to_dict() -> dict[str, Any]

30
31
32

def to_dict(self) -> dict[str, Any]:
    """Return the technique instance as a new key/value dictionary mapping."""
    return self.model_dump()

from_dict(obj: dict[str, Any]) -> BaseTechnique

34
35
36
37
38
39

@classmethod
def from_dict(cls, obj: dict[str, Any]) -> BaseTechnique:
    """Structure technique instance from dict.

    Opposite of `.to_dict()`"""
    return cls.model_validate(obj)

from_method_id(id: str) -> BaseTechnique

41
42
43
44
45

@classmethod
def from_method_id(cls, id: str) -> BaseTechnique:
    """Create new instance of appropriate technique from method ID."""
    new = cls._registry[id]
    return new()