From the 1 of 5 linked papers with an AI index.
5 papers
Materials Behavior as Mechanism Ensembles: A Probabilistic Framework for Emergent Behaviors
Brad L. Boyce, Mitchell A. Wood, Krishna Garikipati +16
The paper proposes a probabilistic framework that treats material behavior as an ensemble of competing mechanisms, using fatigue crack propagation as an example to show how mechani…
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
Ming Du, Xiangyu Yin, Yanqi Luo +4
Scientific data processing often requires task-specific algorithms or AI models, creating a barrier for domain scientists who need to analyze their data but may not have extensive…
AlphaDiffract: Automated Crystallographic Analysis of Powder X-ray Diffraction Data
Nina Andrejevic, Ming Du, Hemant Sharma +6
Materials identification and structural understanding from powder X-ray diffraction (PXRD) data is a long-standing challenge in materials science, fundamental to discovering and ch…
Autonomous Algorithm Discovery for Ptychography via Evolutionary LLM Reasoning
Xiangyu Yin, Ming Du, Junjing Deng +3
Ptychography is a computational imaging technique widely used for high-resolution materials characterization, but high-quality reconstructions often require the use of regularizati…
Pty-Chi: A PyTorch-based modern ptychographic data analysis package
Ming Du, Hanna Ruth, Steven Henke +11
Ptychography has become an indispensable tool for high-resolution, non-destructive imaging using coherent light sources. The processing of ptychographic data critically depends on…