diff --git a/docs/index.md b/docs/index.md
index f8d94c867..6870ff09c 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -28,6 +28,8 @@ Whether you’re a researcher, educator, or industry expert, Particula is design
 - **Providing a Python-based API** for reproducible and modular simulations.
 - **Building gas-phase properties** with builder/factory patterns (vapor
   pressure and latent heat) that support unit-aware setters and exports.
+- **Supporting non-isothermal condensation** with thermal resistance and
+  latent-heat mass transfer rate utilities.
 - **Interrogating your experimental data** to validate and expand your impact.
 - **Fostering open-source collaboration** to share ideas and build on each other’s work.
 
diff --git a/particula/dynamics/__init__.py b/particula/dynamics/__init__.py
index f05476eec..7bf11d960 100644
--- a/particula/dynamics/__init__.py
+++ b/particula/dynamics/__init__.py
@@ -64,6 +64,7 @@
 )
 from particula.dynamics.condensation.mass_transfer import (
     get_mass_transfer_rate,
+    get_mass_transfer_rate_latent_heat,
     get_first_order_mass_transport_k,
     get_thermal_resistance_factor,
     get_radius_transfer_rate,
diff --git a/particula/dynamics/condensation/mass_transfer.py b/particula/dynamics/condensation/mass_transfer.py
index 085be8810..5174aae06 100644
--- a/particula/dynamics/condensation/mass_transfer.py
+++ b/particula/dynamics/condensation/mass_transfer.py
@@ -207,22 +207,23 @@ def get_thermal_resistance_factor(
     molar mass M [kg/mol]. When latent_heat is zero, the factor
     reduces to r_specific * temperature.
 
-    Arguments:
-        - diffusion_coefficient : The vapor diffusion coefficient D [m²/s].
-        - latent_heat : Latent heat of vaporization L [J/kg].
-        - vapor_pressure_surface : Equilibrium vapor pressure at the
-            surface [Pa].
-        - thermal_conductivity : Gas thermal conductivity kappa [W/(m·K)].
-        - temperature : Temperature T [K].
-        - molar_mass : Molar mass M [kg/mol].
+    Args:
+        diffusion_coefficient: Vapor diffusion coefficient D [m²/s].
+        latent_heat: Latent heat of vaporization L [J/kg].
+        vapor_pressure_surface: Equilibrium vapor pressure at the surface
+            [Pa].
+        thermal_conductivity: Gas thermal conductivity kappa [W/(m·K)].
+        temperature: Temperature T [K].
+        molar_mass: Molar mass M [kg/mol].
 
     Returns:
-        Thermal resistance factor for non-isothermal mass transfer
-        [J/kg], matching the broadcasted input shape.
+        Thermal resistance factor for non-isothermal mass transfer [J/kg],
+        matching the broadcasted input shape.
 
     Raises:
         ValueError: If any validated inputs violate positive/nonnegative
             constraints.
+        ValueError: If the thermal resistance factor is non-positive.
 
     References:
         - Topping, D., & Bane, M. (2022). Introduction to Aerosol
@@ -248,9 +249,88 @@ def get_thermal_resistance_factor(
     thermal_factor = diffusion_term * correction_term + (
         r_specific * temperature
     )
+    if np.any(thermal_factor <= 0):
+        raise ValueError(
+            "Thermal resistance factor must be positive; check inputs."
+        )
     return np.asarray(thermal_factor, dtype=np.float64)
 
 
+@validate_inputs(
+    {
+        "pressure_delta": "finite",
+        "first_order_mass_transport": "finite",
+        "temperature": "positive",
+        "molar_mass": "positive",
+        "latent_heat": "nonnegative",
+        "thermal_conductivity": "positive",
+        "vapor_pressure_surface": "nonnegative",
+        "diffusion_coefficient": "nonnegative",
+    }
+)
+def get_mass_transfer_rate_latent_heat(
+    pressure_delta: Union[float, NDArray[np.float64]],
+    first_order_mass_transport: Union[float, NDArray[np.float64]],
+    temperature: Union[float, NDArray[np.float64]],
+    molar_mass: Union[float, NDArray[np.float64]],
+    latent_heat: Union[float, NDArray[np.float64]],
+    thermal_conductivity: Union[float, NDArray[np.float64]],
+    vapor_pressure_surface: Union[float, NDArray[np.float64]],
+    diffusion_coefficient: Union[float, NDArray[np.float64]],
+) -> Union[float, NDArray[np.float64]]:
+    """Calculate non-isothermal mass transfer rate with latent heat.
+
+    Applies the thermal resistance factor to the isothermal mass transfer
+    rate. When latent heat is zero, the correction equals unity and the
+    result matches get_mass_transfer_rate.
+
+    Arguments:
+        - pressure_delta : Difference in partial pressure [Pa].
+        - first_order_mass_transport : Mass transport coefficient K [m³/s].
+        - temperature : Temperature T [K].
+        - molar_mass : Molar mass M [kg/mol].
+        - latent_heat : Latent heat of vaporization L [J/kg].
+        - thermal_conductivity : Gas thermal conductivity kappa [W/(m·K)].
+        - vapor_pressure_surface : Equilibrium vapor pressure at the
+            surface [Pa].
+        - diffusion_coefficient : Vapor diffusion coefficient D [m²/s].
+
+    Returns:
+        - Non-isothermal mass transfer rate [kg/s], matching the broadcasted
+          input shape.
+
+    Raises:
+        - ValueError : If any validated inputs violate positive/nonnegative
+          constraints.
+    """
+    pressure_delta = np.asarray(pressure_delta)
+    first_order_mass_transport = np.asarray(first_order_mass_transport)
+    temperature = np.asarray(temperature)
+    molar_mass = np.asarray(molar_mass)
+    latent_heat = np.asarray(latent_heat)
+    thermal_conductivity = np.asarray(thermal_conductivity)
+    vapor_pressure_surface = np.asarray(vapor_pressure_surface)
+    diffusion_coefficient = np.asarray(diffusion_coefficient)
+
+    thermal_factor = get_thermal_resistance_factor(
+        diffusion_coefficient=diffusion_coefficient,
+        latent_heat=latent_heat,
+        vapor_pressure_surface=vapor_pressure_surface,
+        thermal_conductivity=thermal_conductivity,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    r_specific = GAS_CONSTANT / molar_mass
+    correction = thermal_factor / (r_specific * temperature)
+    isothermal_rate = get_mass_transfer_rate(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    return np.asarray(isothermal_rate / correction, dtype=np.float64)
+
+
 @validate_inputs(
     {
         "mass_rate": "finite",
diff --git a/particula/dynamics/condensation/tests/mass_transfer_test.py b/particula/dynamics/condensation/tests/mass_transfer_test.py
index 176b2543c..1b3d224d9 100644
--- a/particula/dynamics/condensation/tests/mass_transfer_test.py
+++ b/particula/dynamics/condensation/tests/mass_transfer_test.py
@@ -8,6 +8,7 @@
     get_mass_transfer_of_multiple_species,
     get_mass_transfer_of_single_species,
     get_mass_transfer_rate,
+    get_mass_transfer_rate_latent_heat,
     get_radius_transfer_rate,
     get_thermal_resistance_factor,
 )
@@ -226,6 +227,232 @@ def test_thermal_resistance_factor_rejects_invalid_inputs(field, value):
         get_thermal_resistance_factor(**kwargs)
 
 
+def test_thermal_resistance_factor_rejects_nonpositive_result():
+    """Non-positive thermal factors should raise a ValueError."""
+    with pytest.raises(ValueError, match="Thermal resistance factor"):
+        get_thermal_resistance_factor(
+            diffusion_coefficient=1.0e6,
+            latent_heat=1.0,
+            vapor_pressure_surface=1.0e6,
+            thermal_conductivity=1.0,
+            temperature=1.0,
+            molar_mass=0.08314,
+        )
+
+
+def test_mass_transfer_rate_latent_heat_isothermal_parity():
+    """Latent heat of zero should match the isothermal rate (scalar)."""
+    pressure_delta = 23.39
+    first_order_mass_transport = 1.5e-14
+    temperature = 293.0
+    molar_mass = 0.018015
+    result = get_mass_transfer_rate_latent_heat(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+        latent_heat=0.0,
+        thermal_conductivity=0.0257,
+        vapor_pressure_surface=2339.0,
+        diffusion_coefficient=2.5e-5,
+    )
+    expected = get_mass_transfer_rate(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    np.testing.assert_allclose(result, expected, rtol=1e-15)
+
+
+def test_mass_transfer_rate_latent_heat_isothermal_parity_array():
+    """Latent heat of zero should match isothermal rate (arrays)."""
+    pressure_delta = np.array([10.0, 15.0])
+    first_order_mass_transport = np.array([1e-17, 2e-17])
+    temperature = np.array([300.0, 310.0])
+    molar_mass = np.array([0.02897, 0.018015])
+    result = get_mass_transfer_rate_latent_heat(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+        latent_heat=0.0,
+        thermal_conductivity=0.0257,
+        vapor_pressure_surface=2339.0,
+        diffusion_coefficient=2.5e-5,
+    )
+    expected = get_mass_transfer_rate(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    np.testing.assert_allclose(result, expected, rtol=1e-15)
+
+
+def test_mass_transfer_rate_latent_heat_rate_reduction():
+    """Non-isothermal rate magnitude should be reduced when latent heat > 0."""
+    pressure_delta = np.array([23.39, -23.39])
+    first_order_mass_transport = 1.5e-14
+    temperature = 293.0
+    molar_mass = 0.018015
+    latent_heat = 2.454e6
+    thermal_conductivity = 0.0257
+    vapor_pressure_surface = 2339.0
+    diffusion_coefficient = 2.5e-5
+    non_isothermal = get_mass_transfer_rate_latent_heat(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+        latent_heat=latent_heat,
+        thermal_conductivity=thermal_conductivity,
+        vapor_pressure_surface=vapor_pressure_surface,
+        diffusion_coefficient=diffusion_coefficient,
+    )
+    isothermal = get_mass_transfer_rate(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    assert np.all(np.abs(non_isothermal) < np.abs(isothermal))
+
+
+def test_mass_transfer_rate_latent_heat_water_293k():
+    """Check water-in-air values at 293 K with latent heat correction."""
+    pressure_delta = 23.39
+    first_order_mass_transport = 1.5e-14
+    temperature = 293.0
+    molar_mass = 0.018015
+    latent_heat = 2.454e6
+    thermal_conductivity = 0.0257
+    vapor_pressure_surface = 2339.0
+    diffusion_coefficient = 2.5e-5
+    thermal_factor = get_thermal_resistance_factor(
+        diffusion_coefficient=diffusion_coefficient,
+        latent_heat=latent_heat,
+        vapor_pressure_surface=vapor_pressure_surface,
+        thermal_conductivity=thermal_conductivity,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    expected = first_order_mass_transport * pressure_delta / thermal_factor
+    result = get_mass_transfer_rate_latent_heat(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+        latent_heat=latent_heat,
+        thermal_conductivity=thermal_conductivity,
+        vapor_pressure_surface=vapor_pressure_surface,
+        diffusion_coefficient=diffusion_coefficient,
+    )
+    isothermal_rate = get_mass_transfer_rate(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=molar_mass,
+    )
+    assert result > 0.0
+    assert expected < isothermal_rate
+    np.testing.assert_allclose(result, expected, rtol=1e-12)
+
+
+def test_mass_transfer_rate_latent_heat_array_shapes():
+    """Mix scalar and array inputs to confirm broadcasting."""
+    pressure_delta = np.array([[10.0], [15.0]])
+    first_order_mass_transport = np.array(
+        [[1e-17, 2e-17, 3e-17], [1.1e-17, 2.1e-17, 3.1e-17]]
+    )
+    temperature = np.array([[290.0], [300.0]])
+    result = get_mass_transfer_rate_latent_heat(
+        pressure_delta=pressure_delta,
+        first_order_mass_transport=first_order_mass_transport,
+        temperature=temperature,
+        molar_mass=0.02897,
+        latent_heat=2.454e6,
+        thermal_conductivity=0.0257,
+        vapor_pressure_surface=2339.0,
+        diffusion_coefficient=2.5e-5,
+    )
+    assert np.asarray(result).shape == (2, 3)
+    assert np.all(np.isfinite(result))
+
+
+def test_mass_transfer_rate_latent_heat_validation_negative_latent_heat():
+    """Negative latent heat should raise a validation error."""
+    with pytest.raises(ValueError, match="latent_heat"):
+        get_mass_transfer_rate_latent_heat(
+            pressure_delta=10.0,
+            first_order_mass_transport=1e-17,
+            temperature=293.0,
+            molar_mass=0.018015,
+            latent_heat=-1.0,
+            thermal_conductivity=0.0257,
+            vapor_pressure_surface=2339.0,
+            diffusion_coefficient=2.5e-5,
+        )
+
+
+def test_mass_transfer_rate_latent_heat_validation_zero_temperature():
+    """Zero temperature should raise a validation error."""
+    with pytest.raises(ValueError, match="temperature"):
+        get_mass_transfer_rate_latent_heat(
+            pressure_delta=10.0,
+            first_order_mass_transport=1e-17,
+            temperature=0.0,
+            molar_mass=0.018015,
+            latent_heat=2.454e6,
+            thermal_conductivity=0.0257,
+            vapor_pressure_surface=2339.0,
+            diffusion_coefficient=2.5e-5,
+        )
+
+
+def test_mass_transfer_rate_latent_heat_validation_negative_molar_mass():
+    """Negative molar mass should raise a validation error."""
+    with pytest.raises(ValueError, match="molar_mass"):
+        get_mass_transfer_rate_latent_heat(
+            pressure_delta=10.0,
+            first_order_mass_transport=1e-17,
+            temperature=293.0,
+            molar_mass=-0.01,
+            latent_heat=2.454e6,
+            thermal_conductivity=0.0257,
+            vapor_pressure_surface=2339.0,
+            diffusion_coefficient=2.5e-5,
+        )
+
+
+@pytest.mark.parametrize(
+    ("field", "value"),
+    [
+        ("diffusion_coefficient", -1.0),
+        ("thermal_conductivity", 0.0),
+        ("thermal_conductivity", -1.0),
+        ("vapor_pressure_surface", -1.0),
+    ],
+)
+def test_mass_transfer_rate_latent_heat_validation_additional_inputs(
+    field, value
+):
+    """Additional validated inputs should reject invalid values."""
+    kwargs = {
+        "pressure_delta": 10.0,
+        "first_order_mass_transport": 1e-17,
+        "temperature": 293.0,
+        "molar_mass": 0.018015,
+        "latent_heat": 2.454e6,
+        "thermal_conductivity": 0.0257,
+        "vapor_pressure_surface": 2339.0,
+        "diffusion_coefficient": 2.5e-5,
+    }
+    kwargs[field] = value
+    with pytest.raises(ValueError, match=field):
+        get_mass_transfer_rate_latent_heat(**kwargs)
+
+
 def test_multi_species_mass_transfer_rate():
     """Test the mass_transfer_rate function for multiple species."""
     pressure_delta = np.array([10.0, 15.0])
diff --git a/readme.md b/readme.md
index 57d1f4012..66844bfdb 100644
--- a/readme.md
+++ b/readme.md
@@ -93,8 +93,9 @@ particula/
 - **Flexible Representations** — Discrete bins, continuous PDF, particle-resolved
 - **Builder Pattern** — Clean, validated object construction with unit conversion
 - **Composable Processes** — Chain runnables with `|` operator
-- **Condensation Utilities** — Non-isothermal thermal resistance helper via
-  `particula.dynamics.get_thermal_resistance_factor`
+- **Condensation Utilities** — Non-isothermal helpers via
+  `particula.dynamics.get_thermal_resistance_factor` and
+  `particula.dynamics.get_mass_transfer_rate_latent_heat`
 - **Latent Heat Factories** — Build constant, linear, and power-law latent heat
   strategies via `particula.gas.LatentHeatFactory` with unit-aware builders and
   gas-phase exports for upcoming non-isothermal workflows