Obsidian/4 Qualifying Exam/2 Writing/3. QE Research Approach.md

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---
title: Research Approach
allDay: true
date: 2024-10-10
completed:
type: single
endDate: 2024-10-22
---
5 Pages
**TARGET: 2800-3000 words**
# Outline
1. What are unperturbed perturbations and why are they important?
2. What is a generative diffusion model?
3. Where have generative diffusion models been used?
4. How will generative diffusion models generate new plants?
5. How can we know if these new plants are in the set of 'controllable' plants?
6. How are we going to get training data?
Something to justify, why diffusion model as opposed to other generative AI
# First Draft
## Topic Point
### Intro
**Paragraph 1 - Introduction**
*Topic:* Generating unstructured perturbations is a difficult problem right now, but is necessary to blah blah blah
*Point:* This research will use a diffusion generative model to create unstructured perturbations.
*Discussion*: Talk about the big pictures of what the next sections are
### The Generative Diffusion Model
### Using Diffusion to Create New Plants
### Establishing New Plants are in the Disk
### Preliminary Results