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What is samadii/em?
Samadii/em is a sophisticated software tool designed to assess and compute electromagnetic fields in three-dimensional space by utilizing Maxwell's equations through vector finite element methods and GPU computing. It encompasses capabilities for electrostatics, magnetostatics, and induction electronics, effectively covering both low-frequency and high-frequency ranges. With its multi-physics approach, Samadii/em facilitates high-performance simulations in electromagnetics, enabling users to efficiently tackle a variety of challenges ranging from semiconductors and display technologies to wireless communication systems. This versatility ensures that it meets the diverse needs of engineers and researchers working in various fields of technology.
What is NVIDIA PhysicsNeMo?
NVIDIA's PhysicsNeMo is an open-source deep-learning framework built in Python that facilitates the design, training, fine-tuning, and inference of AI models that marry physical laws with data, thereby improving simulations, creating precise surrogate models, and enabling near-real-time predictions across a variety of domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate science, and digital twin technologies. It boasts robust GPU-accelerated performance and offers Python APIs based on the PyTorch framework, all distributed under the Apache 2.0 license, featuring a variety of pre-designed model architectures, including physics-informed neural networks, neural operators, graph neural networks, and generative AI methods, allowing developers to effectively harness the causal relationships present in physics along with empirical data for superior engineering modeling. Furthermore, PhysicsNeMo includes extensive training pipelines that cover all aspects from geometry ingestion to the implementation of differential equations, in addition to providing reference application recipes that assist users in rapidly kickstarting their development processes. This unique integration of powerful features positions PhysicsNeMo as a vital resource for engineers and researchers aiming to push the boundaries of physics-based AI applications. Overall, its capabilities make it a crucial asset for anyone looking to innovate in fields that rely on the intersection of artificial intelligence and physical modeling.
Integrations Supported
PyTorch
Python
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Metariver Technology Co.,Ltd
Date Founded
2009
Company Location
South Korea
Company Website
www.metariver.kr/smdem.html
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
developer.nvidia.com/physicsnemo
Categories and Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
