Flexcompute

Vertical Flute Simulation Using #Flow360 Julie Duquene built the geometry in ESP, meshed, and ran the 3D flute simulation in Flow360. Some Flow360 in action, featuring: 🎵 Acoustics: Analyze and optimize sound performance 🔄 Actuator Disk: Simulate rotating machinery with ease 🌐 Porous Media: Model complex fluid flow through porous materials 📐 Parametric Geometry: Quickly iterate on design variations 🔧 Automatic Meshing: Save time with automated, high-quality mesh generation 🌎 Source: https://lnkd.in/eiN24G6e by one of our founders Qiqi Wang #flexcompute #aeroacoustics #cfd #simulation

🔬 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸 🔬 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗲𝗴𝗿𝗲𝗲 𝗼𝗳 𝗙𝗿𝗲𝗲𝗱𝗼𝗺 𝘄𝗶𝘁𝗵 𝗙𝗿𝗲𝗲-𝗳𝗼𝗿𝗺 𝗣𝗵𝗼𝘁𝗼𝗻𝗶𝗰𝘀 Efficiently transferring light between optical waveguides on different chips is essential for advancing photonic chip interfacing with optical interposers, flexible waveguide ribbons, multi-chip modules, and optical PCBs. Historically, we've relied on mirrors and grating couplers, but each has drawbacks. The paper (read here: https://lnkd.in/gAK3Ghkp) led by Prof. Shaoliang Yu, Prof. Jifeng Liu, Prof. Tian Gu, and Prof. JJ Hu introduces a new method for coupling light between different photonic devices. This method uses microfabricated free-form optical couplers, which can efficiently redirect and shape light beams for mode matching, resulting in low coupling losses, broad bandwidth, and high alignment tolerance. The two-photon polymerization technique enables a lot of flexibility, as the geometry of the coupler can be designed in full 3D, unlike traditional lithography methods. The design of the free-form coupler needs to be optimized and verified using high-fidelity simulations such as FDTD. See how this can be done in Tidy3D in the comprehensive Python notebook here: https://lnkd.in/grgSBmHj   #Photonics #IntegratedPhotonics #SiliconPhotonics #Simulation #Tidy3D #TechInnovation

🔬 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸 🔬 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗲𝗴𝗿𝗲𝗲 𝗼𝗳 𝗙𝗿𝗲𝗲𝗱𝗼𝗺 𝘄𝗶𝘁𝗵 𝗙𝗿𝗲𝗲-𝗳𝗼𝗿𝗺 𝗣𝗵𝗼𝘁𝗼𝗻𝗶𝗰𝘀 Efficiently transferring light between optical waveguides on different chips is essential for advancing photonic chip interfacing with optical interposers, flexible waveguide ribbons, multi-chip modules, and optical PCBs. Historically, we've relied on mirrors and grating couplers, but each has drawbacks. The paper (read here: https://lnkd.in/gAK3Ghkp) led by Prof. Shaoliang Yu, Prof. Jifeng Liu, Prof. Tian Gu, and Prof. JJ Hu introduces a new method for coupling light between different photonic devices. This method uses microfabricated free-form optical couplers, which can efficiently redirect and shape light beams for mode matching, resulting in low coupling losses, broad bandwidth, and high alignment tolerance. The two-photon polymerization technique enables a lot of flexibility, as the geometry of the coupler can be designed in full 3D, unlike traditional lithography methods. The design of the free-form coupler needs to be optimized and verified using high-fidelity simulations such as FDTD. See how this can be done in Tidy3D in the comprehensive Python notebook here: https://lnkd.in/grgSBmHj   #Photonics #IntegratedPhotonics #SiliconPhotonics #Simulation #Tidy3D #TechInnovation

𝗣𝗵𝗶𝗹𝗶𝗽𝗽𝗲 𝗦𝗽𝗮𝗹𝗮𝗿𝘁 - 𝗖𝗙𝗗 𝗤&𝗔 🎙️ 🌎 GPU-native CFD: https://lnkd.in/eMnQNb-Q Philippe Spalart is the director of fluid sciences at Flexcompute. He studied Mathematics and Engineering in Paris and obtained an Aerospace PhD at Stanford/NASA-Ames in 1982. While at Ames, he conducted extensive Direct Numerical Simulations of transitional and turbulent boundary layers. Moving to Boeing in 1990, he created the Spalart-Allmaras one-equation Reynolds-Averaged Navier-Stokes turbulence model. He wrote a review and co-holds a patent on airplane trailing vortices. In 1997, he proposed the Detached-Eddy Simulation approach, blending RANS and Large-Eddy Simulation to address separated flows at high Reynolds numbers with a manageable cost. Recent work includes refinements to the SA model, computational aeroacoustics, and theories for aerodynamics and turbulence. #flow360 #cfd #simulation #engineering

🤖 𝗔𝗜 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗲𝘀 𝗣𝗵𝗼𝘁𝗼𝗻𝗶𝗰𝘀 𝗗𝗲𝘀𝗶𝗴𝗻? 🌟 OpenAI and Google released major updates to their AI products in the past few days, marking significant progress in state-of-the-art AI capabilities.  We embarked on an exciting test a few months ago: utilizing AI to enhance photonic device design. A large language model that efficiently parsed through a research paper to extract relevant information for our design processes. This AI pinpointed what we needed for a successful FDTD simulation and effortlessly guided us through the setup. The results? We replicated a complex photonic design from a scholarly paper in mere minutes! 🚀 Are you curious to see it in action? Check out our video here: https://lnkd.in/eAsmfkXU. So far, the video has accumulated well over 100k views! With the rapid progress, could AI soon become an indispensable tool for photonics engineers? Or might it reshape our roles entirely in the long run? Your insights are invaluable, and we’d love to hear your thoughts! 🤖💡 #AI #ML #LLM #Photonics #Tidy3D #Flexcompute 

🧭 Navigating Turbulence Modeling Are you curious about the differences between steady-state RANS, unsteady RANS, Large Eddy Simulation (LES), and Detached Eddy Simulation (DES) in CFD? 🎥 Watch our detailed video lecture to understand these techniques and how they complement each other: https://lnkd.in/diqX-GHK Get to know the strengths and weaknesses of each method and enhance your skills in CFD today! #TurbulenceModeling #CFDTechniques #RANS #uRANS #LES #DES #Flexcompute

Gain New Skills in The Mechanics of Turbulent CFD Coming to you straight from the experts, here’s a lecture on the mechanics of turbulent CFD. Gain insight into: 🔍 Exploring pre-processing steps and manual grid meshing recommendations 🔧 Implementing adaptive meshing techniques for enhanced convergence 🛫 Understanding and utilizing CFD solutions for engineering purposes, including airplanes Elevate your simulation skills with expert guidance, watch here: https://lnkd.in/d_eVCnma #CFDSimulation #TurbulenceModeling #Flexcompute #Engineering #Simulation

Apply the state-of-the-art Flow360 to the industry's most challenging problems Ensure confidence in vehicle design and safe flight characteristics with high-fidelity simulations that accurately model edge-of-envelope operating conditions. 🔗 Read more: https://lnkd.in/dVvC28hz #CFD #ProductDesign #Stall #DDES #Certification #Safety #HLPW

🔬 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸 🔬 🔎 Exploring the Frontier of Metalenses Metalenses stand at the cutting edge of optics, leveraging nanostructured surfaces to reshape light with unprecedented precision. These innovative lenses, born from breakthroughs in metamaterials and advanced nano-fabrication techniques, offer a powerful alternative to conventional optics. Their ultra-thin design provides high-resolution focusing across a broad spectrum while minimizing aberrations, paving the way for transformative applications in devices ranging from smartphones to sophisticated medical imaging equipment. However, the design and modeling of metalenses present a few formidable computational challenges: 1. Building an extensive library of meta-atoms requires running numerous simulations, pushing the limits of computational resources. 2. Simulating large-area metalenses with 3D full-wave techniques, such as FDTD, demands substantial time and computational power. This week, we dive deep into the design workflow for metalenses using Tidy3D. We spotlight mid-infrared (mid-IR) metalens, detailing the process from unit cell modeling to the complete construction and simulation of the metalens. Tidy3D's ultrafast speed and scalability make metalens design genuinely effortless.  Check out our comprehensive Python notebook here: https://lnkd.in/eYg9BhFR #Photonics #Metalenses #OpticalDesign #Simulation #Tidy3D #TechInnovation