A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
Abstract: This paper considers a discrete time stochastic multi-agent graphical games problem with multiplicative noise based on reinforcement learning. The Bellman optimality equations for ...
Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to ...
For the first time, physicists in Italy have created a 'lump soliton': an extremely stable packet of light waves which can ...
This is an important study on the sensory roles of Cerebrospinal fluid-contacting neurons (CBF-cn) in mammals. The authors identify PKD2L1 as the predominant pH-sensing channel CBF-cn and show how the ...
diffusion/co_datasets, dataset wrappers. diffusion/models, neural networks. diffusion/tools, executable shell generation tools. diffusion/utils, task-specific utilities. diffusion/pl_meta_model.py, ...