AI for Science (AI4S 2026)
“Shaping the New Era of Discovery: When Silicon Joins the Laboratory”
Artificial intelligence is no longer just a supporting tool; it is becoming a core “accelerator” for every field of science. From solving complex mathematical problems and predicting protein structures to simulating climate, discovering new materials and drugs, AI is redefining scientific methodology.
The AI4S-2026 workshop invites scientists and researchers worldwide to submit their latest research papers, where AI algorithms not only process data but also directly drive breakthroughs in natural sciences and engineering.
Topics of interest
- Autonomous Discovery in Science
- AI in Biology & Medicine: Molecular structure prediction, drug discovery, and personalized medicine.
- AI in Physics & Astronomy: High-energy physics simulation, telescope data processing, and quantum physics.
- AI in Chemistry & Materials Science: Self-driving labs and nanomaterials.
- Earth & Climate Science: Extreme weather forecasting and global climate change modeling.
- Foundation Models for Science: Specialized LLM/Transformer architectures for scientific data.
- Interpretation and Ethics: How AI can explain scientific findings and ensure transparency.
Submission Guideline
https://kse2026.kse-conferences.org/call-for-papers/
Session Organizers
Prof. Nguyen Le Minh
Japan Advanced Institute of Science and Technology
Dr. Nguyen Van Vinh
University of Engineering and Technology, Vietnam National University, vinhnv@vnu.edu.vn
Assoc. Prof. Dr. Nguyen Phuong Thai
University of Engineering and Technology, Vietnam National University, thainp@vnu.edu.vn
Assoc. Prof. Dr. Le Hong Phuong
Hanoi University of Science, Vietnam National University
Assoc. Prof. Dr. Bui Nguyen Quoc Trinh
Vietnam Japan University, Vietnam National University
Assoc. Prof. Dr. Nguyen Huu Quynh
CMC University, Vietnam, nhquynh@cmcu.edu.vn