Engineering | Physics | Radiology An efficient ptychography reconstruction strategy through fine-tuning of large pre-trained deep learning model. November 30, 2023
Chemistry | Materials Science | Physics Scaling deep learning for materials discovery. November 29, 2023
Engineering | Materials Science | Physics Inverse design of metasurfaces with customized transmission characteristics of frequency band based on generative adversarial networks. November 29, 2023
High Energy Physics | Machine Learning | Physics Machine Learning Approach to Analyze the Heavy Quark Diffusion Coefficient in Relativistic Heavy Ion Collisions. November 24, 2023
Mathematics | Physics Prediction of phase transition and time-varying dynamics of the (2+1)-dimensional Boussinesq equation by parameter-integrated physics-informed neural networks with phase domain decomposition. November 18, 2023
Engineering | Materials Science | Physics Ferroelectric Domain and Switching Dynamics in Curved InSe: First-Principles and Deep Learning Molecular Dynamics Simulations. November 15, 2023
Computer Science | Engineering | Physics An Efficient Recognition Method for Orbital Angular Momentum via Adaptive Deep ELM. November 14, 2023
Materials Science | Nanotechnology | Physics From ab initio to continuum: Linking multiple scales using deep-learned forces. November 10, 2023
Acoustics | Engineering | Physics Angle-dependent phononic dynamics for data-driven source localization. November 8, 2023
Chemistry | Materials Science | Physics An invertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning. November 3, 2023
Chemistry | Materials Science | Physics Anion optimization for bifunctional surface passivation in perovskite solar cells. October 31, 2023
Engineering | Physics Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing. October 26, 2023