diff --git a/docs/new_features.ipynb b/docs/new_features.ipynb
index 0db0036c..9e7a1c2e 100644
--- a/docs/new_features.ipynb
+++ b/docs/new_features.ipynb
@@ -8,6 +8,65 @@
     "# Recent Feature Additions"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "570dd7ea",
+   "metadata": {},
+   "source": [
+    "## Version 0.1.14\n",
+    "\n",
+    "### CLI engine commands\n",
+    "\n",
+    "New `erad engine` sub-commands for working with the DuckDB simulation engine from the command line:\n",
+    "\n",
+    "- **`erad engine run <model> <hazard> -o results.parquet`** — Run a simulation using the DuckDB engine and export directly to Parquet, SQLite, or CSV.\n",
+    "- **`erad engine convert input.parquet output.db`** — Convert simulation results between formats (auto-detects from file extension).\n",
+    "- **`erad engine query results.parquet --sql \"SELECT ...\"`** — Run SQL queries against result files.\n",
+    "- **`erad engine info results.parquet`** — Display summary statistics (asset count, survival probability distribution, high-risk asset count).\n",
+    "\n",
+    "### Conversion utilities\n",
+    "\n",
+    "Bidirectional conversion between Pydantic models and DuckDB engine:\n",
+    "\n",
+    "- **`SimulationEngine.from_asset_system(asset_system)`** — Convert existing Pydantic results into DuckDB for fast export and analysis.\n",
+    "- **`AssetSystem.from_engine(engine)`** — Convert DuckDB engine results back to a full Pydantic AssetSystem (for plotting, GDM integration, etc.).\n",
+    "- **`SimulationEngine.from_parquet(path)`** — Load previously exported Parquet results into DuckDB for querying.\n",
+    "- **`engine.to_asset_states()`** — Extract DuckDB results as a list of `(asset_id, AssetState)` tuples.\n",
+    "\n",
+    "### Organization rename\n",
+    "\n",
+    "- Updated references from \"National Renewable Energy Laboratory (NREL)\" to \"National Laboratory of the Rockies (NLR)\".\n",
+    "- Author/maintainer emails updated to `@nlr.gov`.\n",
+    "- PyPI package name remains `NREL-erad` for backward compatibility."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d4e37e8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from erad.engine import SimulationEngine\n",
+    "from erad.systems.asset_system import AssetSystem\n",
+    "\n",
+    "# Conversion utilities overview\n",
+    "print(\"Pydantic → DuckDB:\")\n",
+    "print(\"  engine = SimulationEngine.from_asset_system(asset_system)\")\n",
+    "print()\n",
+    "print(\"DuckDB → Pydantic:\")\n",
+    "print(\"  asset_system = AssetSystem.from_engine(engine)\")\n",
+    "print()\n",
+    "print(\"Parquet → DuckDB:\")\n",
+    "print(\"  engine = SimulationEngine.from_parquet('results.parquet')\")\n",
+    "print()\n",
+    "print(\"CLI commands:\")\n",
+    "print(\"  erad engine run <model> <hazard> -o results.parquet\")\n",
+    "print(\"  erad engine convert results.parquet results.db\")\n",
+    "print(\"  erad engine query results.parquet --sql 'SELECT ...'\")\n",
+    "print(\"  erad engine info results.parquet\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "ef39d41b",