Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Brane Solutions in Supergravity
Published:
My MSci Physics project focused on brane solutions in supergravity, exploring their mathematical structure and physical significance within quantum gravity. 
Ensembled Weakly-Supervised Segmentation
Published:
An MSc Machine Learning project developing an ensembled model for weakly-supervised image segmentation. 
Neural Network PDE Solver
Published:
A physics-informed neural network project for solving PDEs. 
publications
Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
Published in Physical Review Research (accepted), 2026
An unsupervised physics-informed neural-network framework for complex-time saddle-point equations in strong-field physics.
Recommended citation: Jiakang Chen, Sufia Hashim, and Carla Figueira de Morisson Faria. (2026). "Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields." Physical Review Research (accepted).
Download Paper
talks
Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
Published:
Poster presentation on a physics-informed neural-network framework for solving complex-time saddle-point equations in strong-field physics with tailored laser fields.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.