In this paper, we use Physics-Informed Neural Networks (PINNs) to solve shape optimization problems. These problems are based on incompressible Navier-Stokes equations and phase-field equations. The phase-field function is used to describe the state of the fluids, and the optimal shape optimization...
In this paper, we propose a physical informed neural network approach for designing the electromagnetic metamaterial. The approach can be used to deal with various practical problems such as cloaking, rotators, concentrators, etc. The advantage of this approach is the flexibility that we can deal ...
In this study, we address the challenges of rapid response prediction and parameter optimization for OWC systems by developing a physics-informed neural networks (PINN) model. The influence of different physical constraints on the performance of the PINN model is investigated. Our research demonstrates...
E. Karniadakis, Physics informed deep learning (part ii): data-driven discovery of nonlinear partial differential equations, https://arxiv.org/abs/1711.10566 [Cs, Math, Stat] (2017). Ling, J., Kurzawski, A. & Templeton, J. Reynolds averaged turbulence modelling using deep neural networks ...
Human lymph nodes were obtained from deceased transplant organ donors by the Cambridge Biorepository for Translational Medicine (CBTM) with informed consent from the donor families and approval from the NRES Committee of East of England – Cambridge South (15/EE/0152). This consent includes the gene...
Quantum computing technologies are making steady progress. This has opened new opportunities for tackling problems whose complexity prevents their description on classical computers. A prototypical example of these complex problems are interacting quantum many-body systems: on the one hand, these systems ...
Blinding began at the point of recruitment, where all participants were informed that they were being recruited for a study designed to test the efficacy of software interventions for improving cognition in a variety of domains. Neither the BBT nor the MBT participants were aware of the other ...
and other organizations with critical security needs. Improving security and operational efficiency FLEXIDOME 8100i delivers reliable, high-quality video data for informed decision-making The FLEXIDOME 8100i delivers reliable, high-quality video data for informed decision-making, due to edge-based AI vid...
We collected behavioral data from 12 human participants each performing 1 h of M-Pong behavior. Participant genders were 6 female, 5 male, 1 undisclosed; other population characteristics (e.g., age) were not requested. Participants provided informed consent before the study. ...
(AF version 2.1.1). For the purpose of large-scale applications, the original data pipeline was separated from the neural network inference. The split allows us to derive input features for individual protein sequences and then reuse them to assemble input features for subsequent complex ...