diff --git a/.gitignore b/.gitignore
index 18fb2948..c08530bf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -266,3 +266,4 @@ docs/beginner/tutorials/html5/*.html
 petsc-custom/petsc
 petsc-custom/.petsc-version
 Untitled*.ipynb
+Expt_Grains/
diff --git a/Expt_Grains/Particle_numbers.txt b/Expt_Grains/Particle_numbers.txt
deleted file mode 100644
index 032afab8..00000000
--- a/Expt_Grains/Particle_numbers.txt
+++ /dev/null
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diff --git a/src/underworld3/utilities/unit_aware_array.py b/src/underworld3/utilities/unit_aware_array.py
index 3304ff96..247ac3e8 100644
--- a/src/underworld3/utilities/unit_aware_array.py
+++ b/src/underworld3/utilities/unit_aware_array.py
@@ -1440,8 +1440,15 @@ def cross_impl(a, b, *args, **kwargs):
             a_units = getattr(a, "_units", None)
             b_units = getattr(b, "_units", None)
 
-            # Compute cross product using numpy's default behavior
-            result = np.cross(np.asarray(a), np.asarray(b), *args, **kwargs)
+            # Compute cross product. numpy 2.0 removed the 2-D cross that
+            # returned the scalar z-component, so emulate it for (...,2) inputs
+            # (matching numpy 1.x behaviour) and delegate to np.cross for 3-D.
+            aa = np.asarray(a)
+            bb = np.asarray(b)
+            if not args and not kwargs and aa.shape[-1] == 2 and bb.shape[-1] == 2:
+                result = aa[..., 0] * bb[..., 1] - aa[..., 1] * bb[..., 0]
+            else:
+                result = np.cross(aa, bb, *args, **kwargs)
 
             # Determine result units
             if a_units is not None and b_units is not None:
diff --git a/tests/test_0758_unit_aware_cross.py b/tests/test_0758_unit_aware_cross.py
new file mode 100644
index 00000000..ae0da915
--- /dev/null
+++ b/tests/test_0758_unit_aware_cross.py
@@ -0,0 +1,44 @@
+#!/usr/bin/env python3
+"""Regression: np.cross on a 2-D UnitAwareArray under numpy 2 (#247 follow-up).
+
+numpy 2.0 removed the 2-D cross product (the scalar z-component). The
+UnitAwareArray np.cross handler must emulate the 2-D behaviour for (...,2)
+inputs (returning the z-component) rather than delegating straight to np.cross,
+which raises ``ValueError: Both input arrays must be 3-dimensional vectors``.
+3-D cross is unchanged.
+"""
+import numpy as np
+import pytest
+
+from underworld3.utilities.unit_aware_array import UnitAwareArray
+
+pytestmark = [pytest.mark.level_1, pytest.mark.tier_a]
+
+
+def test_2d_unit_aware_cross_returns_z_component():
+    a = UnitAwareArray([1.0, 2.0], units="m")
+    b = UnitAwareArray([3.0, 4.0], units="m")
+    r = np.asarray(np.cross(a, b))  # 1*4 - 2*3 = -2
+    assert r == pytest.approx(-2.0)
+
+
+def test_2d_stacked_unit_aware_cross():
+    a = UnitAwareArray([[1.0, 0.0], [0.0, 1.0]], units="m")
+    b = UnitAwareArray([[0.0, 1.0], [1.0, 0.0]], units="m")
+    r = np.asarray(np.cross(a, b))  # [1, -1]
+    assert np.allclose(r, [1.0, -1.0])
+
+
+def test_3d_unit_aware_cross_unchanged():
+    a = UnitAwareArray([1.0, 0.0, 0.0], units="m")
+    b = UnitAwareArray([0.0, 1.0, 0.0], units="m")
+    r = np.asarray(np.cross(a, b))
+    assert np.allclose(r, [0.0, 0.0, 1.0])
+
+
+def test_cross_carries_units():
+    a = UnitAwareArray([1.0, 2.0], units="m")
+    b = UnitAwareArray([3.0, 4.0], units="m")
+    r = np.cross(a, b)
+    # result should still be unit-aware (m * m)
+    assert getattr(r, "_units", None) is not None