NVIDIA PhysicsNeMoNVIDIA
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XGtdRemcom
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Related Products
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About
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.
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About
XGtd is a ray-based electromagnetic analysis tool for assessing the effects of a vehicle or vessel on antenna radiation, predicting coupling between antennas, and predicting radar cross-section. It is ideally suited for applications with higher frequencies or very large platforms where the requirements of a full physics method may exceed available computational resources. XGtd’s capabilities extend well beyond standard ray tracing codes, incorporating techniques including Geometric Optics (GO), the Uniform Theory of Diffraction (UTD), Physical Optics (PO), and the Method of Equivalent Currents (MEC). XGtd provides high-fidelity outputs tailored to its intended applications. High-fidelity field predictions in shadow zones including creeping wave effects. Multipath calculations including reflections, transmissions, wedge diffractions, surface diffractions, and creeping waves.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Researchers, engineers, and developers who need an open source Python AI framework to build, train, fine-tune, and deploy physics-informed machine learning models for simulation, digital twins, and real-time prediction
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Audience
Engineers and designers requiring a solution to manage and analyze electromagnetic frequencies to improve their designs
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo
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Company InformationRemcom
Founded: 1994
United States
www.remcom.com/xgtd-high-frequency-em-anaysis-software
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Categories |
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Integrations
PyTorch
Python
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