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BIOVIA Materials Studio

Multi-scale modeling and simulation for predicting material properties from atomic and molecular structure across polymers, catalysts, metals, batteries, and more.

Solution by Dassault Systèmes
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Overview

BIOVIA Materials Studio is a complete, integrated, multi-scale modeling and simulation environment developed by Dassault Systèmes. It is designed to enable researchers in materials science and chemistry to predict and understand the relationships between a material's atomic and molecular structure and its properties and behavior. The platform is used across a wide range of industries to engineer better-performing materials, including catalysts, polymers, composites, metals, alloys, pharmaceuticals, batteries, and more.

By adopting an in silico first approach, BIOVIA Materials Studio allows researchers to optimize material performance in a cost-effective virtual environment before committing to physical testing. This makes it a powerful tool for accelerating innovation, reducing experimental overhead, and enabling data-driven decision-making throughout the R&D lifecycle.

Key Value Propositions

  • Accelerate the innovation process — Drive deeper understanding of the interactions that define material properties, enabling faster development cycles.
  • Reduce R&D costs — Minimize the number of physical experiments by virtually screening candidate materials before laboratory work begins.
  • Improve R&D efficiency — Automate and share best practices within Pipeline Pilot to reduce non-value-added tasks and streamline workflows.
  • Foster data-driven decisions — Complement laboratory experimentation with powerful materials informatics to support evidence-based research outcomes.

Functional Areas and Industry Applications

  • Polymers & Composites — Driving the design of advanced composites and polymer materials.
  • Chemicals & Catalysts — Empowering chemical and catalyst R&D with molecular-level simulation capabilities.
  • Metals & Alloys — Supporting metal alloy design and characterization through computational modeling.
  • Semiconductors — Characterizing the electronic properties that form the foundation of semiconductor behavior.
  • Batteries & Hydrogen Fuel Cells — Empowering the virtual design of battery materials and fuel cell components.
  • Electronics — Driving the virtual design of photovoltaics and organic electronic materials.
  • Consumer Packaged Goods — Speeding up CPG R&D through computational materials discovery.
  • Pharmaceutical Development — Accelerating pharmaceutical development by modeling molecular interactions and material properties.

Platform and Ecosystem

  • BIOVIA Materials Studio integrates with the broader BIOVIA portfolio, which spans solutions for research, development, quality, and manufacturing.
  • The platform supports automation and workflow sharing through Pipeline Pilot, enabling teams to standardize and scale best practices.
  • Complementary tools within the BIOVIA ecosystem include BIOVIA COSMO-RS, a comprehensive toolbox for modeling and predicting fluid phase properties.
  • Training resources are available for students, academics, professionals, and companies, with dedicated support services including software and hardware certification, user documentation, and technical assistance.
  • An active BIOVIA Materials Studio User Community provides a space for researchers to collaborate and share knowledge.

Meta

Software type(s)
Computational Engine
Deployment type(s)
On-Premise
Industry vertical(s)
PharmaBiotechAcademic / Research
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Bench Scientist / Lab TechnicianResearch ScientistBioinformatician / Computational ScientistMedicinal Chemist