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Found 6 papers, 3 papers with code
Surface Defect Saliency of Magnetic Tile
Vision-based detection on surface defects has long postulated in the magnetic tile automation process.
Ranked #1 on
Anomaly Detection
on Surface Defect Saliency of Magnetic Tile
(Segmentation AUROC metric, using extra
training data)
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Realizing general inverse design could greatly accelerate the discovery of new materials with user-defined properties.
Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
This paper presents a study on the integration of domain-specific knowledge in prompt engineering to enhance the performance of large language models (LLMs) in scientific domains.
A robust low data solution: dimension prediction of semiconductor nanorods
Deep neural network is further applied to develop regression model which demonstrated the well performed prediction on both the original and generated data with a similar distribution.
A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics
This paper proposes a special-purpose system to achieve high-accuracy and high-efficiency machine learning (ML) molecular dynamics (MD) calculations.
An Artificial Intelligence (AI) workflow for catalyst design and optimization
In this article, we demonstrate the application of this AI workflow in the optimization of catalyst synthesis for ammonia production.
