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Fazel Solutions
Home
Code & AI
Materials Simulations
Book Consultation
About
More
  • Home
  • Code & AI
  • Materials Simulations
  • Book Consultation
  • About
  • Home
  • Code & AI
  • Materials Simulations
  • Book Consultation
  • About

Materials Property Prediction Services

Our Approach

Material property predictions from simulations have reached an incredible inflection point of capability that can transform your business or research lab.

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What can we do?

  • Understand what limits your system or material performance
  • Improve system performance by studying system and material parameters
  • Explore new material performance and interactions through accurate atomic simulations before running costly experiments

How?

  • Accurate simulations based on first-principles electronic density functional theory can predict reactive properties of materials but are limited to 100s of atoms and picoseconds of time 
  • With machine learning on that data we can extend the reach to time and length scales useful to industry (>1000s of atoms and >nanoseconds of time)
  • Foundation and custom trained machine learned interatomic potentials unlock these longer scales to predict new dynamic properties directly from simulation

Experience

Complex reactive environments with catalysts

  • Uncovered proton dynamics in fuel cells at the catalyst layer to enable performance and cost improvements 
  • Designed physically informed machine learned interatomic potentials with on-the-fly learning methods and conformation space exploration and evaluation

Solids and liquids

  • Predicted transition temperatures of materials using thermodynamic integration and machine learned interatomic potentials

Highly inhomogeneous liquids

  • Designed custom methods to train solvation models for classical density functional theory

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