diff --git a/src/cell_lists/full_grid.jl b/src/cell_lists/full_grid.jl
index 24a8e3f..4e8603d 100644
--- a/src/cell_lists/full_grid.jl
+++ b/src/cell_lists/full_grid.jl
@@ -43,7 +43,7 @@ end
 supported_update_strategies(::FullGridCellList) = (SemiParallelUpdate, SerialUpdate)
 
 function FullGridCellList(; min_corner, max_corner, search_radius = 0.0,
-                          periodicity = false, backend = DynamicVectorOfVectors{Int32},
+                          backend = DynamicVectorOfVectors{Int32},
                           max_points_per_cell = 100)
     # Pad domain to avoid 0 in cell indices due to rounding errors.
     # We can't just use `eps()`, as one might use lower precision types.
@@ -180,6 +180,5 @@ function copy_cell_list(cell_list::FullGridCellList, search_radius, periodic_box
     (; min_corner, max_corner) = cell_list
 
     return FullGridCellList(; min_corner, max_corner, search_radius,
-                            periodicity = !isnothing(periodic_box),
                             backend = typeof(cell_list.cells))
 end
diff --git a/test/neighborhood_search.jl b/test/neighborhood_search.jl
index a49ad2b..b556018 100644
--- a/test/neighborhood_search.jl
+++ b/test/neighborhood_search.jl
@@ -50,15 +50,13 @@
                                               periodic_box = periodic_boxes[i],
                                               cell_list = FullGridCellList(; min_corner,
                                                                            max_corner,
-                                                                           search_radius,
-                                                                           periodicity = true)),
+                                                                           search_radius)),
                 GridNeighborhoodSearch{NDIMS}(; search_radius, n_points,
                                               periodic_box = periodic_boxes[i],
                                               cell_list = FullGridCellList(; min_corner,
                                                                            max_corner,
                                                                            search_radius,
-                                                                           backend = Vector{Vector{Int32}},
-                                                                           periodicity = true)),
+                                                                           backend = Vector{Vector{Int32}})),
                 PrecomputedNeighborhoodSearch{NDIMS}(; search_radius, n_points,
                                                      periodic_box = periodic_boxes[i]),
             ]