AI-based Materials R&D

In today's increasingly fierce global technological competition, the deep integration of artificial intelligence (AI) and simulation computing is accelerating the field of new materials R&D into a new era of intelligent transformation at an unprecedented speed.

CD BioSustainable-Advanced Materials is a professional materials research and development company, independent innovation “AI + new materials” R&D mode, with the help of materials informatics, machine learning, deep neural networks and other technological means, to help clients to accelerate materials research and development. We are committed to providing clients with one-stop services integrating independent product development, sample design, production and processing, quality testing and performance analysis.

Artificial Intelligence Algorithms and Materials Informatics Tools

The combination of artificial intelligence algorithms and materials informatics tools is revolutionizing the materials science paradigm. Artificial intelligence algorithms, such as machine learning and deep learning, are capable of extracting complex patterns and correlations from massive amounts of materials data to accelerate the discovery and design of new materials. Materials informatics (MI), on the other hand, builds vast databases of materials by integrating data science, statistics, and AI techniques, and uses this data for predictive modeling and reverse design.

Fig. 1 Materials informatics and machine learning workflow. Fig. 1 Schematic of material design using artificial intelligence.(Frydrych K, et al., 2021)

Our Services

AI-driven Materials Design and Discovery
Machine learning-based materials performance prediction and inverse design
High-throughput virtual screening and composition optimization
Molecular/crystal structure generation and stability assessment

Intelligent Analytics of Materials Data
Multi-source materials data integration and knowledge graph construction
Process-property correlation modeling and parameter optimization
Failure analysis and lifetime prediction

Customized R&D Solutions
Cross-scale simulation (quantum computing/molecular dynamics/finite element) with AI
Application-specific materials database development
Automated design of experiments (DOE) and intelligent experiment platform interface

Explore Our Capabilities

Centralized access to large-scale, curated materials data.

Automated candidate screening of thousands of compounds

Predictive insights based on material properties, sustainability impacts and performance.

Decision-making tools customized for scientists.

Industries We Serve

AI-based Materials R&D Process

CD BioSustainable-Advanced Materials is committed to providing clients with intelligent material R&D solutions, relying on AI algorithms and big data analysis capabilities to significantly accelerate the process of discovery, optimization and application of new materials. Feel free to contact us for more detailed information about our services.

References

Frydrych K, et al. Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges. Materials (Basel). 2021; 14(19):5764.
Bai X, Zhang X. Artificial Intelligence-Powered Materials Science. Nanomicro Lett. 2025; 17(1):135.
Badini S, et al. Unleashing the Power of Artificial Intelligence in Materials Design. Materials. 2023; 16(17):5927.

For Research or Industrial Raw Materials, Not For Personal Medical Use!