Abstract: In resource-constrained environments, efficient feature extraction is crucial for applications in classification and prediction tasks. This study investigates a fast, DFT-based, ...
Abstract: Low-resolution image sensors often result in degraded image quality and blurred resolution. Diffusion models demonstrate significant potential for addressing low-resolution image issues.
PaddleMaterials is a data-mechanism dual-driven, foundation model development and deployment, end to end toolkit based on PaddlePaddle deep learning framework for materials science. - PaddlePaddle/ ...
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This project demonstrates how variational quantum circuits (VQCs) can be integrated with classical machine learning to predict molecular quantum chemical properties — specifically the HOMO energy (eV) ...
Key Laboratory of Advanced Display Materials and Devices, Ministry of Industry and Information Technology, College of Material Science and Engineering, Nanjing University of Science and Technology, ...
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