AI Simulation Framework

Constructing AI-based simulation for understanding electrical properties of nanomaterials through innovative research.

Innovative Solutions for Nanomaterials Research

We specialize in AI-based simulations and data analysis for nanomaterials, enhancing understanding of electrical properties through deep learning and experimental validation.

Five metallic spheres are suspended from a frame in a row on thin strings. Four of the spheres are still and touching, while the fifth sphere on the right is pulled away to the side, creating the motion of a Newton's cradle.

AI Simulation Framework

We clarify research questions and construct AI-based simulation frameworks for nanomaterials' electrical properties.

Data Collection Process

We collect and preprocess data on nanomaterials' structural characteristics and bending conditions for analysis.

An intricate structure made of layered hexagonal patterns, resembling a honeycomb. The material looks like paper or a natural fiber with a rough texture. A hand can be seen holding the structure from one end.

Model Optimization

Deep learning techniques are utilized to optimize simulation models for accuracy and efficiency in predictions.

We validate our models through experimental methods to ensure reliability and practical application in materials.

Experimental Validation

Numerous small cubes with the letter 'N' on them are floating in a three-dimensional space. The cubes are primarily in shades of gray and have a clean, minimalistic design.

Two molecular models, each consisting of one large red sphere and two smaller white spheres, are positioned facing each other on a white surface. A white plate and a paper clip are placed in the foreground.

Research

Innovative AI frameworks for nanomaterial electrical properties.