J-OCTA builds multiscale models spanning from the atomistic and molecular scale to the micrometer scale, enabling the reproduction and visualization of structures and phenomena that are difficult to observe directly in experiments. It supports a wide range of applications—from polymers, composites, batteries, thin films, and coatings in the materials sciences to drug discovery, pharmaceutical formulation, biomaterials, and membrane structure analysis in the life sciences. Simulations across different scales can be linked seamlessly within a common platform, allowing users to capture everything from molecular-level interactions to macroscopic properties and functional behavior. This capability aids in elucidating complex mechanisms, establishing new design guidelines, and streamlining the workflow from early-stage research through prototyping and validation.

J-OCTA integrates multiscale simulation with data science, enabling efficient high-throughput evaluation for property prediction, inverse analysis, and parameter optimization. In the materials field, this facilitates the design of novel materials, while in the life sciences it supports the optimization of pharmaceuticals and functional molecules—improving both the speed and accuracy of the entire R&D cycle. By leveraging computational and experimental results together, it reduces the need for repeated prototyping and testing while enabling more reliable designs. Through its integration with machine learning—an approach often referred to as Materials Informatics—J-OCTA can also make use of historical data and external knowledge, uncovering conditions and compositions that might otherwise be overlooked. This approach is a powerful asset for maximizing results within limited time and resources.

J-OCTA is an integrated modeling and simulation platform widely adopted by manufacturers and research institutions worldwide. It delivers proven results across diverse fields—from the design of industrial materials such as batteries, polymers, and composites to the analysis of drug formulations and biomaterials.
For example, in the battery field, J-OCTA enables analysis from electrode manufacturing processes down to microscopic properties, providing valuable insights for performance optimization. In life sciences, it supports applications such as drug design and formulation development by modeling phenomena like the self-assembly and permeability of lipid nanoparticles and membrane structures.
With an intuitive GUI, a rich library of case studies, and a robust support system built on accumulated expertise, J-OCTA provides an environment where users can confidently transition from initial implementation to practical application.

JSOL Corporation

J-OCTA showcases analysis examples across a wide range of fields, including batteries, polymers, composite materials, thin films, drug discovery and formulation, and biomaterials. Some case studies in the database include sample files and scenario data, allowing you to reproduce workflows immediately. New case studies can also be developed upon request. The official OCTA website provides a publication list and a case study collection, which we encourage you to explore.