Wen-Chang Zhang

Bohrium + SciMaster: Building the infrastructure and ecosystem for agentic science at scale

AI agents are emerging as a practical way to run multi-step scientific workflows that interleave reasoning, tool use, and verification. Scaling such agentic science remains difficult because workflows are hard to observe and reproduce, many scientific tools and laboratory systems are not agent-ready, and execution trac...

SMLDR: Spectral Memory Learner with Dual-Retrieval for Time Series Forecasting

Time series forecasting aims to predict future values using historical observations, which is crucial for many practical applications with complex temporal dynamics. Recent frequency-domain forecasting methods have utilized spectral representations to model periodicity, but they usually rely on an implicit assumption:...

Experimental study on uniaxial compression mechanical properties and fracture fractal characteristics of dense sandstone under different temperature conditions