Abstract: In this paper, a physics-informed neural network (PINN) is proposed to solve 2D magneto-quasi-static (MQS) problems in time domain. Instead of discretization or interpolation in space and ...
Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
Powering games of all types: MMO, shooters, battle-royale, turn-based, arcade, fighting, physics based, mobile, NFT, and more. A feature-rich Unity networking solution aimed towards reliability, ease ...
Compared with System.Text.Json, protobuf-net, MessagePack for C#, Orleans.Serialization. Measured by .NET 7 / Ryzen 9 5950X machine. These serializers have IBufferWriter<byte> method, serialized using ...
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