Do you face any of these challenges?
- Looking to apply simulation or AI technologies to the development and optimization of construction materials, structural components, or infrastructure systems
- Wanting to leverage your in-house project and performance data for smarter, data-driven design and engineering
- Seeking access to the latest DX-driven technologies to improve durability, sustainability, and efficiency in construction projects
Comprehensive Software Suite and Robust Support to Realize Materials DX
In the construction and civil engineering industry—covering applications such as concrete, steel, asphalt, composites, and advanced materials for roads, bridges, tunnels, and other infrastructure—there is a growing demand for research and development aimed at enhancing durability, reducing environmental impact, and supporting decarbonization initiatives.
JSOL offers a broad portfolio of simulation and AI technologies essential for the development and optimization of such construction and infrastructure materials. Each software package is designed for ease of use, and our expert support services—built on extensive experience—help even first-time users quickly integrate these tools into their work and research.
Our J-OCTA is built on OCTA, an open-source platform developed through a national industry–academia collaboration project in Japan. Today, it is widely used by manufacturing companies, engineering firms, and research institutions worldwide. By leveraging the open-source community, we create opportunities for user-to-user communication and collaboration directly through JSOL’s software.
When required, JSOL can also coordinate and support the creation of research frameworks that bring together companies, universities, and other partners—empowering joint innovation in materials development for the construction and civil engineering sector.
Integrated Solution for Multiscale Simulation and Data Science
- 01. Proven Track Record in Industry and Academia
- 02. Software for Multiscale Simulation
- 03. Software for Materials Informatics

Materials used in construction and civil engineering—such as concrete, steel, asphalt, composites, and advanced materials for buildings, roads, bridges, tunnels, and other infrastructure—cover a wide range of applications. In recent years, there has been a strong emphasis on improving various material properties with key goals such as decarbonization, reducing environmental impact, enhancing durability, and extending service life. To accurately evaluate these properties, it is essential to consider the multiscale nature of materials and to employ a variety of methods and technologies.
With JSOL’s simulation software suite, you can run simulations tailored to each scale: from nanometers, capturing electronic states and molecular structures, to micrometers, modeling phase separation and composite materials. By linking these tools, it is possible to analyze the mechanisms behind the performance of advanced materials directly through simulation.
Today, there is growing demand for data-driven materials development using AI technologies, under concepts such as Materials Informatics and Process Informatics. JSOL’s AI-enabled software allows you to predict properties based on molecular and crystal structures, composition ratios, and processing environments—and even perform inverse design. When experimental data is scarce, high-throughput simulations can be executed to supplement datasets and accelerate discovery.
01Proven Track Record in Industry and Academia
Use Cases
02Software for Multiscale Simulation
In materials design, it is essential to determine which scale—from nanometers to micrometers—has the greatest impact on material properties.
No single simulation method can cover all scales and phenomena. That’s why we offer multiscale-ready software, combining multiple engines (solvers) into a single materials design solution.
This enables comprehensive simulation capabilities to analyze the multiscale characteristics of a wide range of materials.
Learn more on each product’s dedicated page.

03Software for Materials Informatics
J-OCTA MI-Suite includes machine learning capabilities for predicting material properties using molecular/crystal structures and various conditions as explanatory variables, along with related features such as molecular descriptor calculations, access to public databases, and analysis of each variable’s contribution.
When experimental data are insufficient, the software can supplement them with simulation results. It also provides API functionality to support database construction using physical simulations.
Data selection and learning condition settings for machine learning can be performed via dialogs, without the need for programming. Multiple pre-trained models are included, allowing users to start Materials Informatics projects even without their own data.
