In electromagnetism, Isopotential maps[1] are a measure of electrostatic potential in space. The spatial derivatives of an electrostatic field indicate the contours of the electrostatic field, so isopotential maps show where another charged molecule might interact, using equipotential lines (isopotentials).

References

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  1. ^ Medvegy, Mihály; Préda, István; Savard, Pierre; Pintér, Arnold; Tremblay, Gaétan; Nasmith, James B.; Palisaitis, Donald; Nadeau, Réginald A. (14 March 2000). "New Body Surface Isopotential Map Evaluation Method to Detect Minor Potential Losses in Non–Q-Wave Myocardial Infarction". ahajournals.org. pp. 1115–1121. doi:10.1161/01.CIR.101.10.1115. Retrieved 26 June 2025.


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Contour line

it is possible to use smaller intervals as the height increases. An isopotential map is a measure of electrostatic potential in space, often depicted in

Equipotential

In mathematics and physics, an equipotential or isopotential refers to a region in space where every point is at the same potential. This usually refers

Ion

An electrostatic potential map of the nitrate ion (NO−3). The 3-dimensional shell represents a single arbitrary isopotential.

Index of physics articles (I)

(microwave) Isomeric nuclide Isomeric shift Isomeric transition Isopleths Isopotential map Isoscalar Isospin Isothermal flow Isothermal process Isothermal titration

Scalar potential

Gradient theorem Fundamental theorem of vector analysis Equipotential (isopotential) lines and surfaces The second part of this equation is only valid for

Developmental bioelectricity

gap junctional connections which establish developmental compartments (isopotential cell fields). Because both gap junctions and ion channels are themselves

Compartmental neuron models

together as shown in the figure. It is assumed that the compartment is isopotential and spatially uniform in its properties. Membrane non-uniformity such

Gap junction

PMID 18853183. Martinez-Banaclocha, Marcos (13 February 2020). "Astroglial Isopotentiality and Calcium-Associated Biomagnetic Field Effects on Cortical Neuronal