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Complexity Research Team (CRT)

"Chaos is the beginning, simplicity is the end.", M.C. Escher

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Simulations

Strange Attractors

Lorenz
Chen
Rossler
Three Scroll Unified Chaotic System
Four Wing
Reversible Reactions

Recent Posts

  • Spatial constrains and information content of sub-genomic regions of the human genome 11/09/2022
  • Special Issue “Coexistence of Complexity Metrics and Machine-Learning Approaches for Understanding Complex Biological Phenomena” 15/12/2020
  • Professor Robert Sapolsky: “Chaos and Reductionism” 25/11/2020

RSS Machine Learning

  • AI helps design new materials that work in the real world 26/08/2026
    The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
    Zach Winn | MIT News
  • Generating scenarios for extreme events, without extreme data 24/08/2026
    A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
    Jennifer Chu | MIT News
  • Paving the way for greener ammonia production 20/08/2026
    New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
    David L. Chandler | Department of Materials Science and Engineering

RSS Biology and Genetics

  • Cells use a little-known molecule to protect themselves from iron overload 25/08/2026
    This discovery points toward new combination strategies against cancer, and may explain the iron buildup seen in disorders such as early-onset Parkinson’s disease.
    Shafaq Zia | Whitehead Institute
  • How the Toxoplasma parasite adapts to crowded conditions in host cells 19/08/2026
    A new study by Whitehead Institute researchers identifies how the widespread parasite Toxoplasma gondii survives in crowded environments in infected cells, which helps it persist in long-lasting brain cysts.
    Mackenzie White | Whitehead Institute
  • Flipping the script on biology education, and scaling it up 19/08/2026
    Using a modular kit, the MIT Edgerton Center is bringing a hands-on biology curriculum to Massachusetts’ second-largest school district.
    Edgerton Center

Machine Learning Mastery

  • Learn Vectorized Thinking in Python Through Examples
  • Comparing Local Tool Calling: Gemma 4 vs. Llama 3 vs. Mistral
  • Integrating Agentic AI with Existing Machine Learning Pipelines
  • How to Build a Robust RAG System with Minimal Resources
  • Managing Small Context Windows in Language Models

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