We’re excited to share that Compular was featured in Hitachi Ventures’ recent article, AI is Powering the Future of Material Science: From Lab to Real-World Breakthroughs. Compular is one of the startups that Hitachi Energy follows closely in the material science field, as shown in the image below. The article highlights how startups, corporations, and investors are collaborating to close the gap between theoretical innovation and real-world application—an objective that Compular is working towards. In addition, the article highlights that the integration of artificial intelligence (AI) with material science is enabling faster, more accurate discoveries and reducing the gap between scientific discoveries and practical solutions. While AI plays a significant role, Compular offers a complementary approach using physics-based simulations.
The Role of Physics Simulations in Material Discovery
Physics-based simulations, like those enabled by Compular Lab, provide a more deterministic and interpretable approach to material discovery. Unlike AI-driven models that require large datasets, our simulations allow researchers to predict the behavior of novel materials based on fundamental physical principles. This approach is especially invaluable in areas where scarce experimental data limits the possibilities for data-driven models. Furthermore, physics-based simulations themselves generate data that can be used for building AI models from the bottom up. In this way, Compular Lab helps accelerate testing and validation processes without costly lab experiments. Additionally, our tools have low onboarding costs for R&D engineers and material scientists, offering them high-level insights without the need for extensive computational backgrounds.
Moving Forward
While AI continues to shape the future of material science, physics-based simulations remains an essential and complementary tool. By automating simulation workflows and combining them with advanced analysis, Compular bridges the gap between theoretical research and real-world applications, making material discovery faster, more efficient, and accessible to a broader range of industries.
