✦ AI for Science | Multiscale Modeling ✦

Where Quantum Precision
Meets Intelligent Synergy

Integrating Density Functional Theory, Molecular Dynamics, Bioinformatics, and AI to decode complexity across scales — from atoms to ecosystems.

DFT · MD · Protein Folding · AI Vision

Multiscale Intelligence — From Quantum to Field

Core Research Domains

Density Functional Theory

First-principles calculations for next-generation materials & quantum-level insights.

Molecular Dynamics

High-performance atomistic simulations revealing dynamical behaviors and thermodynamic properties.

Bioinformatics & Proteins

AI-accelerated protein structure prediction, molecular docking, and sequence analysis.

AI + Medical Imaging

Deep learning for diagnostics, lesion detection, and real-time clinical decision support.

AI + Precision Agriculture

Phenotyping, crop monitoring, and yield prediction through computer vision and satellite data.

Recent Publications
Regulation of Cu-MOF reconstruction for enhanced CO2 electroreductionApplied Catalysis B: Environment and Energy, 2025
Estimation of in-situ biogas upgrading in microbial electrolysis cells via direct electron transfer: Two-stage machine learning modeling based on a NARX-BP hybrid neural networkBioresource Technology, 2021
View All Publications →

Collaborative Culture

SLISA operates as an open, cross-disciplinary research hub — integrating domain scientists, computational physicists, biotechnologists, and AI engineers.

Global Engagement

Active in international collaborations, peer reviews, and leading conferences in computational sciences & intelligent systems.

Contact & Affiliation

Synergy Lab of Intelligent Sciences & Applications (SLISA)

📍 Hangzhou, 311254, China

📧 services@slisa.ac.cn | 🔗 Google Scholar | GitHub/SLISA

An independent research division focusing on Multiscale Modeling & AI Integration