Skip to content

Home

HPC & AI fusion technology for zero-emission materials development
HPC and AI uncovers mechanisms of chemical reactions! Reducing trial and error for material developers and accelerating development

Challenge in zero-emission materials development

(画像を表す適切なテキスト)
Materials development for zero-emissions requires addressing “the complexity of required materials,” “intensifying global development competition,” and “shortening development periods and reducing costs.” Currently, the scale and time that can be executed through simulation are limited, preventing a shift from experiment-based development, resulting in repeated trial and error by experiments.

HPC & AI fusion technology for zero-emission materials development

(画像を表す適切なテキスト)
Fujitsu’s Materials Informatics can achieve a paradigm shift from experiment-driven materials development to materials development led by computing and AI, significantly reducing experimental trial and error, through practical large-scale, high-precision simulation technology.

The benefits of HPC & AI fusion technology for zero-emission materials development

  1. Dramatically accelerating materials development relying on trial-and-error experiments
    • HPC & AI technology enables large scale, high-precision simulations of atomic behaviors. Costly experiments are replaced with simulations and AI.
    • Utilizing data eliminates personalization of knowledge possessed by veterans, enhancing the sustainability of R&D.

Technical overview

Target Industry/Users

  • Materials developers in chemical, materials, and pharmaceutical manufacturers (batteries, catalysts, metals, semiconductors, inks, cosmetics, resins, plastics, fibers, films, etc.)

Challenges in Target Industry and Operations

  • Innovative new materials development for solving global environmental issues
  • Dramatically accelerating traditional trial-and-error materials development using innovative computing

Technical Challenges

  • Simulation of atomic behaviors to analyze chemical reactions of materials on a large scale and over a long duration

The benefits of HPC & AI fusion technology (Detailed version)

  • It accelerates materials development dramatically by moving away from traditional trial-and-error experiments.

Fujitsu's Technological Advantage

  • Leveraging Fujitsu’s strength in computing and AI technologies enables large-scale, high-precision simulations of atomic behaviors.

Use Cases

  • Mechanism analysis and improvement planning in new materials development

Case studies

  • Analysis of semiconductor wet and dry etching processes and exploration of process parameters
  • Validation of semiconductor manufacturing parameter optimization
  • Uncovering ion conduction mechanisms in polymer electrolyte membranes for fuel cells

Technical Trial

  • A Proof of Concept (PoC) is possible.