AI-based Drug-Target Screening

Using our own collected and refined drug big data and ABCnet-based deep learning model, we analyze the relationship between the amino acid sequence of the target protein and the SMILES of the ligand.

Through this, we provide candidates with the optimal binding strength.

Nano Scale Phase Field Simulation

The software for simulating the growth of nano and micro particles analyzes the lithium-ion battery positive electrode particles thermally, predicts the crystallization pattern, particle size distribution, and porosity of the first and second particles, and systematically manages data on lithium-ion distribution, insertion efficiency, insertion active area, and mechanical stress. Through intensive analysis, we provide precise insights.

MPPs
(Multi-Physics PINN Software)

The PINN (Physics-Informed Neural Network) solution predicts material physics and complements traditional simulations with fast inference.

It integrates modules such as DFT and MD to support model development optimized for target phenomena.