Flexcompute
Flexcompute
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Introducing PhotonForge: The Future of Foundry-Ready, End-to-End Photonic Design
Flexcompute proudly announces PhotonForge, a revolutionary photonic design automation platform that unifies the entire Photonic Integrated Circuit (PIC) development process into a seamless environment. As data centers face growing communication bottlenecks, PhotonForge provides an integrated solution to bridge the gap, offering unmatched bandwidth and energy efficiency for next-generation AI and large-scale computing applications. With GPU-accelerated multi-physics solvers enabling simulations up to 500 times faster, PhotonForge empowers designers to innovate with confidence, reduce time-to-market, and accelerate photonic advancements. Flexcompute is redefining the future of photonics, paving the way for scalable and efficient technology breakthroughs. Learn more about PhotonForge: flexcompute.com/photonforge.
Переглядів: 131

Відео

Common Misconceptions in CFD and Insights for Accurate Simulations with Jim Bungener
Переглядів 71День тому
Computational Fluid Dynamics (CFD) is a powerful tool widely used across various industries for simulating fluid flows, yet several misconceptions can lead to inaccuracies in simulations and misinterpretations of results. This webinar aims to address some of the most prevalent misconceptions in CFD, providing clarity and insights that can help practitioners and researchers improve the accuracy ...
How Xanadu Leverages Flexcompute to Build the Future of Quantum Computing
Переглядів 24014 днів тому
In this fireside chat, Blair Morrison, Head of Photonics Integration at Xanadu, joins Dr. Prashanta Kharel to explore the power of Flexcompute's Electromagnetic Suite. With simulation results delivered in minutes, Xanadu is able to rapidly iterate and adapt, enhancing their design and layout tasks. Learn how this fast-paced, seamless workflow empowers Xanadu to push the boundaries of quantum co...
Quadcopter Aeroacoustic and Aerodynamic Performance Validation- Surface Pressure Variations
Переглядів 762 місяці тому
The acoustic and aerodynamic performance of the DJI Phantom II quadcopter was compared with experimental results from Virginia Tech, Boston University, and Aurora Flight Sciences. The original DJI propeller, model 9450, was used to validate thrust comparisons. Shown is a slice colored by acoustic wave indicator and surface pressure variations. Watch our webinar "An Engineering Guide to Simulati...
Quadcopter Aeroacoustic and Aerodynamic Performance Validation
Переглядів 1032 місяці тому
The acoustic and aerodynamic performance of the DJI Phantom II quadcopter was compared with experimental results from Virginia Tech, Boston University, and Aurora Flight Sciences. The original DJI propeller, model 9450, was used to validate thrust comparisons. Shown is a slice colored by acoustic wave indicator and iso-surface q-criterion colored by an acoustic wave indicator. Watch our webinar...
Rotor-Airframe Interaction Noise Validation with Flow360: DDES and ILES Results
Переглядів 592 місяці тому
Rotor-airframe interaction noise is validated using the DJI9443 rotor with both cylindrical and conical airframes. Shown here is a slice colored by acoustic wave indicator and surface colored by acoustic pressure, from left, for DDES for rod interaction, DDES for cone interaction and ILES (LDRoe) for cone interaction. Learn more about Flow360 and how you can enhance your aeroacoustic simulation...
Flow360 For Rotor-Airframe Interaction Noise Validation
Переглядів 443 місяці тому
Slice colored by acoustic wave indicator and surface colored by acoustic pressure, from left, DDES for rod interaction, DDES for cone interaction and ILES (LDRoe) for cone interaction. From a case study on rotor-airframe interaction noise validation using the DJI9443 rotor. Watch our webinar "An Engineering Guide to Simulating Aeroacoustics: Challenges, Techniques, and Applications," now on-dem...
Rotor-Airframe Interaction Noise Validation with Flow360: DDES and ILES Results
Переглядів 383 місяці тому
Rotor-airframe interaction noise is validated using the DJI9443 rotor with both cylindrical and conical airframes. Shown here is a slice colored by acoustic wave indicator and surface colored by acoustic pressure, from left, for DDES for rod interaction, DDES for cone interaction and ILES (LDRoe) for cone interaction. Learn more about Flow360 and how you can enhance your aeroacoustic simulation...
Rotor-Airframe Interaction Noise Validation with Flow360
Переглядів 343 місяці тому
From a test case, rotor-airframe interaction noise is validated using the DJI9443 rotor with both cylindrical and conical airframes. The study compares results from the finest mesh configurations against OVERFLOW2 PSU-WOPWOP and experimental data to ensure accuracy and reliability. Flow360 helps you better understand noise generation mechanisms in rotor-airframe interactions. Watch our webinar ...
Inverse Design and Adjoint Optimization
Переглядів 4163 місяці тому
In this presentation, Tyler Hughes introduces TidyGrad, an innovative inverse design tool integrated with Tidy3D's GPU-accelerated FDTD solver. TidyGrad leverages automatic differentiation to streamline the design of photonic devices, enabling users to define objective functions in Python and compute gradients efficiently using the adjoint method. This approach simplifies the optimization proce...
Isolated Propellers - NASA study
Переглядів 513 місяці тому
Isolated propellers for small-scale rotary-wing UAS, previously studied by researchers at NASA Langley Research Center, are simulated with Flow360. Shown are DDES (LDRoe), DDES, and ILES (LDRoe) solutions colored by acoustic wave indicator. Use Flow360 to enhance your aeroacoustic simulations today! Watch our webinar "An Engineering Guide to Simulating Aeroacoustics: Challenges, Techniques, and...
Flow360 In Action: Advanced Simulation Techniques for Aeroacoustic Phenomena
Переглядів 554 місяці тому
ILES or DDES may be used in aeroacoustic simulations to better capture unsteady flow phenomena, such as blade-vortex interaction noise or turbulent boundary layer noise, where URANS may have limitations in accurately predicting these complex dynamics, particularly in cases involving significant flow separation or highly turbulent flows. Shown here is acoustic wave indicator for DDES method with...
Advanced CFD Simulations: Acoustic Wave Indicators and Noise Generation Mechanisms
Переглядів 654 місяці тому
CFD is a technique which can be used to simulate fluid flow around noise-generating sources such as airfoils, rotors, or vehicles, providing insights into noise generation mechanisms. Here, an acoustic wave indicator is shown for DDES method with the low-dissipation scheme, DDES without the low-dissipation scheme and ILES method with the low-dissipation scheme. Watch our webinar "An Engineering...
Comparing Acoustic Wave Indicators: DDES & ILES Methods
Переглядів 844 місяці тому
Acoustic wave indicator in farfield for DDES method with the low-dissipation scheme, DDES without the low-dissipation scheme and ILES method with the low-dissipation scheme Watch our webinar "An Engineering Guide to Simulating Aeroacoustics: Challenges, Techniques, and Applications," now on-demand: hs.flexcompute.com/an-engineering-guide-to-simulating-aeroacoustics-on-demand #Flow360 #Aeroacous...
Dr. Shanhui Fan - Rapid Fire Interview | Flexcompute
Переглядів 4235 місяців тому
🌎 Next-gen Electromagnetic Simulation: www.flexcompute.com/ Flexcompute Co-founder Dr. Shanhui Fan serves as Joseph and Hon Mai Goodman Professor of the School of Engineering, Electrical Engineering at Stanford University in Stanford, California. His induction into the NAE comes on the heels of Shanhui Fan’s previous accolade, where he was awarded Optica’s R. W. Wood Prize in 2022. He is also t...
Philippe Spalart - CFD Rapid Fire Interview | Flexcompute
Переглядів 1,1 тис.8 місяців тому
Philippe Spalart - CFD Rapid Fire Interview | Flexcompute
Inverse Design Lecture 6: Level Set Parameterization
Переглядів 924Рік тому
Inverse Design Lecture 6: Level Set Parameterization
Inverse Design Lecture 5: Shape Optimization
Переглядів 939Рік тому
Inverse Design Lecture 5: Shape Optimization
AI-Powered Photonic Design: Rapid FDTD Simulation with Claude 2 and Tidy3D
Переглядів 445 тис.Рік тому
AI-Powered Photonic Design: Rapid FDTD Simulation with Claude 2 and Tidy3D
Inverse Design Lecture 4: Fabrication Constraints
Переглядів 1,1 тис.Рік тому
Inverse Design Lecture 4: Fabrication Constraints
Tidy3D Tutorial 13: Script Objects
Переглядів 471Рік тому
Tidy3D Tutorial 13: Script Objects
Tidy3D Tutorial 12: Importing Geometries from GDS and STL Files
Переглядів 3,7 тис.Рік тому
Tidy3D Tutorial 12: Importing Geometries from GDS and STL Files
Tidy3D Tutorial 11: Model Parameterization and Parameter Sweeps
Переглядів 420Рік тому
Tidy3D Tutorial 11: Model Parameterization and Parameter Sweeps
Tidy3D Tutorial 10: Symmetry for Efficient FDTD Simulations
Переглядів 376Рік тому
Tidy3D Tutorial 10: Symmetry for Efficient FDTD Simulations
Inverse Design Lecture 3: Adjoint Optimization
Переглядів 1,3 тис.Рік тому
Inverse Design Lecture 3: Adjoint Optimization
Tidy3D Tutorial 9: Boundary Conditions for FDTD Solar Cell Simulations
Переглядів 287Рік тому
Tidy3D Tutorial 9: Boundary Conditions for FDTD Solar Cell Simulations
Tidy3D Tutorial 8: Run Time Optimization in FDTD Simulations
Переглядів 347Рік тому
Tidy3D Tutorial 8: Run Time Optimization in FDTD Simulations
Tidy3D Tutorial 7: Grid Specification in FDTD with a Directional Couplers Example
Переглядів 425Рік тому
Tidy3D Tutorial 7: Grid Specification in FDTD with a Directional Couplers Example
Tidy3D Tutorial 6: Mastering Monitors in FDTD Simulations with Grating Couplers Example
Переглядів 1,2 тис.Рік тому
Tidy3D Tutorial 6: Mastering Monitors in FDTD Simulations with Grating Couplers Example
Tidy3D Tutorial 5: Mode Solver in FDTD Simulations
Переглядів 598Рік тому
Tidy3D Tutorial 5: Mode Solver in FDTD Simulations

КОМЕНТАРІ

  • @flexcompute
    @flexcompute 8 місяців тому

    🌎 GPU-native aerospace & electromagnetics simulation: www.flexcompute.com/