diff --git a/express/settings.py b/express/settings.py
index 7b12344c..4e545d90 100644
--- a/express/settings.py
+++ b/express/settings.py
@@ -19,6 +19,7 @@
         "reference": "express.properties.scalar.thermal_correction_to_enthalpy.ThermalCorrectionToEnthalpy"
     },
     "surface_energy": {"reference": "express.properties.scalar.scalar_property_context.ScalarPropertyFromContext"},
+    "formation_energy": {"reference": "express.properties.scalar.scalar_property_context.ScalarPropertyFromContext"},
     "reaction_energy_barrier": {"reference": "express.properties.scalar.reaction_energy_barrier.ReactionEnergyBarrier"},
     "valence_band_offset": {"reference": "express.properties.scalar.scalar_property_context.ScalarPropertyFromContext"},
 }
diff --git a/pyproject.toml b/pyproject.toml
index 04dc0c13..0f3a4d81 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,7 +17,7 @@ classifiers = [
 dependencies = [
     "pymatgen>=2023.8.10",
     "ase>=3.17.0",
-    "mat3ra-esse>=2026.5.27.post0",
+    "mat3ra-esse>=2026.5.30.post0",
     "jarvis-tools>=2023.12.12",
     # To avoid module 'numpy.linalg._umath_linalg' has no attribute '_ilp64' in Colab
     "numpy>=1.24.4,<2",
diff --git a/tests/unit/properties/scalar/test_formation_energy.py b/tests/unit/properties/scalar/test_formation_energy.py
new file mode 100644
index 00000000..f35ef34d
--- /dev/null
+++ b/tests/unit/properties/scalar/test_formation_energy.py
@@ -0,0 +1,17 @@
+from tests.unit import UnitTestBase
+from express.properties.scalar.scalar_property_context import ScalarPropertyFromContext
+
+FORMATION_ENERGY = {"units": "eV/atom", "name": "formation_energy", "value": -0.123}
+
+
+class FormationEnergyTest(UnitTestBase):
+    def setUp(self):
+        super().setUp()
+
+    def tearDown(self):
+        super().tearDown()
+
+    def test_formation_energy(self):
+        parser = self.get_mocked_parser("formation_energy", FORMATION_ENERGY["value"]) # noqa : F841
+        property_ = ScalarPropertyFromContext("formation_energy", None, value=FORMATION_ENERGY["value"])
+        self.assertDeepAlmostEqual(property_.serialize_and_validate(), FORMATION_ENERGY)