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QuantumShellNet: ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions
Efficient and precise characterization of material properties is critical in quantum mechanical
modeling. While Density Functional Theory (DFT) remains a foundational method for …
modeling. While Density Functional Theory (DFT) remains a foundational method for …
Multimodal neural network-based predictive modeling of nanoparticle properties from pure compounds
Simulating complex and large materials is a challenging task that requires extensive domain
knowledge and computational expertise. This study introduces Pure2DopeNet, an …
knowledge and computational expertise. This study introduces Pure2DopeNet, an …
Shape reconstruction from focus and image fusion
J Chen, Y Wang, L Zhang, Y Niu - Optics and Lasers in Engineering, 2025 - Elsevier
Shape from focus (SFF) is a widely used approach for reconstructing 3D shapes from a
sequence of multifocal images. However, the quality of this sequence directly affects the …
sequence of multifocal images. However, the quality of this sequence directly affects the …
High efficiency laser ablation of gold thin film by 2.8 GHz intraburst repetition rate pulses
This work initially presents our progress in develo** a 14 W all-polarization-maintaining
(PM) Yb-doped fiber laser system. This system can generate bursts with a 2.8 GHz intra …
(PM) Yb-doped fiber laser system. This system can generate bursts with a 2.8 GHz intra …