feat: Add detailed Nastran memory error detection in run-baseline

- Parse Nastran log file to detect memory allocation failures
- Extract requested vs available memory from log
- Provide actionable error message with specific values
- Include log files in result_files response

atomizer-dashboard/backend/api/routes/optimization.py

@@ -4706,6 +4706,33 @@ async def run_baseline_simulation(study_id: str):
             op2_files = list(baseline_dir.glob("*.op2"))
             f06_files = list(baseline_dir.glob("*.f06"))
             bdf_files = list(baseline_dir.glob("*.bdf")) + list(baseline_dir.glob("*.dat"))
+            log_files = list(baseline_dir.glob("*.log"))
+
+            # Parse Nastran log for specific error messages
+            error_details = result.get("errors", [])
+            memory_error = False
+            if not result.get("success") and log_files:
+                try:
+                    with open(log_files[0], "r") as f:
+                        log_content = f.read()
+                    if "Unable to allocate requested memory" in log_content:
+                        memory_error = True
+                        # Extract memory request info
+                        import re
+
+                        mem_match = re.search(r"Requested size = (\d+) Gbytes", log_content)
+                        avail_match = re.search(
+                            r"Physical memory available:\s+(\d+) MB", log_content
+                        )
+                        if mem_match and avail_match:
+                            requested = int(mem_match.group(1))
+                            available = int(avail_match.group(1)) / 1024  # Convert to GB
+                            error_details.append(
+                                f"Nastran memory allocation failed: Requested {requested}GB but only {available:.1f}GB available. "
+                                "Try closing other applications or reduce memory in nastran.rcf"
+                            )
+                except Exception:
+                    pass
 
             return {
                 "success": result.get("success", False),
@@ -4717,11 +4744,16 @@ async def run_baseline_simulation(study_id: str):
                     "op2": [f.name for f in op2_files],
                     "f06": [f.name for f in f06_files],
                     "bdf": [f.name for f in bdf_files],
+                    "log": [f.name for f in log_files],
                 },
-                "errors": result.get("errors", []),
+                "errors": error_details,
                 "message": "Baseline simulation complete"
                 if result.get("success")
-                else "Simulation failed",
+                else (
+                    "Nastran out of memory - close other applications and retry"
+                    if memory_error
+                    else "Simulation failed"
+                ),
             }
 
         except ImportError as e: