diff --git a/Zettelkasten/Fleeting Notes/Journal/2025_08_01.md b/Zettelkasten/Fleeting Notes/Journal/2025_08_01.md
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+++ b/Zettelkasten/Fleeting Notes/Journal/2025_08_01.md	
@@ -0,0 +1,11 @@
+---
+---
+
+# 2025-08-01
+
+## Morning Brief
+Yesterday I finished two additional thesis ideas and got
+some more reading done 
+
+- [ ] Fill out health insurance enrollment
+
diff --git a/Zettelkasten/Fleeting Notes/Journal/2025_08_04.md b/Zettelkasten/Fleeting Notes/Journal/2025_08_04.md
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+---
+---
+
+# 2025-08-04
+
+## Morning Brief
+I didn't do shit. But I emailed Dan that I'd be OOO
+Wednesday and Thursday for the motorcycle course.
+
+I'm finishing those fucking thesis ideas today. ON GOD.
+[[thesis-ideas-2025-07-30]]
+
+I'm' also supposed to have a date with Miranda today, but
+she hasn't texted me back. Interesting. Jackie also
+complimented my socks and show combo. That was nice. I
+showed her and Natan [Angus](ourcowangus.com).
+
diff --git a/Zettelkasten/Permanent Notes/thesis-ideas.md b/Zettelkasten/Permanent Notes/thesis-ideas.md
index 0c19b316..2f3ca053 100644
--- a/Zettelkasten/Permanent Notes/thesis-ideas.md	
+++ b/Zettelkasten/Permanent Notes/thesis-ideas.md	
@@ -155,12 +155,29 @@ a shield, without all of the cumbersome derivation.
 
 ___________________________________________________________
 
-## **Data-Driven Model Verification for High-Assurance Digital Twins** 
+## **Data-Driven Fault Detection Using High-Assurance Digital Twins** 
 (8)
 
 ### Goals:
+The goal of this research is to use machine learning to
+identify system faults of a reactor control system. A
+digital twin will be compared to measurements from a real
+plant to identify issues such as coolant losses, sensor and
+actuator failures, or component degredation.
 
 ### Outcomes:
+For this research to be successful, I will accomplish the
+following:
+
+- Create a simulation suite for the Small Modular Advanced
+  High Temperature Reactor (SmAHTR) to simulate fault
+  conditions of sensors, actuators, and component degradation.
+
+- Develop a physics informed neural network (PINN) approach
+  to evaluate physics discrepancies in measured signals and
+  to estimate physically relevant parameters
+
+- 
 
 ### Impact: