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We released MATILDA.FT, a novel GPU-accelerated software combining particle and field-theoretic simulations for mesoscopic systems. This powerful tool efficiently models complex materials like polymers and liquid crystals.

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Area of Science:

  • Computational Physics
  • Materials Science
  • Software Engineering

Background:

  • Mesoscopic simulations are crucial for understanding complex materials.
  • Existing simulation packages often lack the ability to integrate diverse simulation methodologies.
  • Efficient, massively parallel computation is needed for large-scale mesoscopic modeling.

Purpose of the Study:

  • To introduce MATILDA.FT, a new, massively parallel, GPU-accelerated software package.
  • To present a unified simulation package combining coarse-grained particle dynamics and field-theoretic methods.
  • To provide an accessible, extendable, and efficient tool for mesoscopic simulations.

Main Methods:

  • Development of a CUDA/C++ object-oriented software leveraging Thrust library acceleration.
  • Implementation of massively parallel algorithms for efficient computation on GPUs.
  • Integration of both coarse-grained particle dynamics (Langevin, Dissipative particle dynamics) and field-theoretic simulations.

Main Results:

  • MATILDA.FT is the first software to combine coarse-grained particle and field-theoretic simulations.
  • The software demonstrates efficient simulation of various mesoscopic systems, including polymer solutions, nanoparticle-polymer interfaces, peptide models, and liquid crystals.
  • The object-oriented design facilitates code understanding and extension.

Conclusions:

  • MATILDA.FT offers a powerful and versatile platform for mesoscopic simulations.
  • The software enables efficient harnessing of GPU parallelism for complex material modeling.
  • Public release of source code, documentation, and examples promotes accessibility and further development.