Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Daiqian Xie

h-index 4 View on Semantic Scholar

We have 2 of 22 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Jul 2026

Hybrid ML/MM Simulations for Computational Enzymology: Recent Advances and Challenges.

This Perspective surveys the central methodological challenges in developing ML/MM frameworks, including the generation of high-quality reference data and the treatment of multiscale coupling.

Xinhu Sha, Chenyu Wu, Daiqian Xie et al. · 0 citations
Aug 2026

Enhancing Machine-Learned Electrostatic Models with Linear Response Theory for Multiscale Simulations in Enzymes.

A physics-based framework for the relationship between the electrostatic energy and the electrostatic field generated by the MM environment, MIREANN exhibits powerful transferability in reproducing the free energy barriers predicted by QM/MM-MD with errors less than 0.5 kcal mol–1 for various enzyme variants without th...

Xinhu Sha, Xuehui Guo, Zi-Yu Chen et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.