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What is NeuralMould?

NeuralMould, created by Emmi AI, represents a cutting-edge Large Engineering Model tailored for injection molding, establishing a new standard in AI-enhanced engineering solutions by integrating any geometry, material, and injection gate configuration all within a unified framework. This system allows users to select from an array of geometries while experimenting with various injection parameters, materials, and gate placements, thereby facilitating swift simulations of filling dynamics, quick scenario evaluations, optimization of crucial performance metrics, and avoidance of frozen flow fronts. The intricate nature of injection molding simulations is attributed to the requirement for multi-physics computations that precisely replicate the transient flow of viscous plastics through complexly designed thin-walled forms under conditions of high pressure and temperature. NeuralMould adeptly captures these vital phenomena across a range of injection scenarios and mold configurations, delivering outcomes that compete with conventional solvers, yet do so in markedly shorter computation times. Furthermore, this model accommodates multi-material applications, enabling rapid prototyping, supporting multi-gate arrangements, and managing diverse processing parameters, all thanks to its scalable transformer-based architecture. This revolutionary methodology places NeuralMould as an essential resource for engineers aiming to improve both efficiency and accuracy within the injection molding domain, ultimately paving the way for more innovative manufacturing solutions. With its advanced features, NeuralMould is set to transform the landscape of injection molding technology.

What is AWS Thinkbox Stoke?

Boost particle simulations in Autodesk 3ds Max to exceed the performance of other fluid dynamics plugins and introduce a straightforward procedural geometry modifier that does not necessitate programming expertise for artists. This accessible tool offers an expandable experience, enabling artists to engage in intuitive channel-editing processes similar to those utilized in node-based image compositing applications. Despite the restrictions of the Autodesk 3ds Max SDK, which lacks optimized geometry and particle lookup capabilities, AWS Thinkbox Stoke efficiently facilitates the creation of high-density particle clouds. It accommodates various formats such as PRT and RealFlow BIN, in addition to supporting simulations from FumeFX, Particle Flow, cebas thinkingParticles, and 3ds Max Force Space Warps. Users can also generate and simulate novel fields, including velocity fields, while being able to load and save field data in popular formats. This seamless integration allows for the combination of field data with the subsystems of 3ds Max, including Particle Flow, MassFX, Hair and Fur, alongside several material and rendering systems, significantly improving the creative workflow overall. By enhancing these capabilities, this solution ultimately allows artists to produce intricate visual effects with increased efficiency and convenience, thus transforming their creative process.

Media

Media

Integrations Supported

3ds Max
Amazon Web Services (AWS)

Integrations Supported

3ds Max
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Emmi AI

Company Location

Austria

Company Website

www.emmi.ai/models/neuralmould

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/thinkbox-stoke/

Categories and Features

Engineering

2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering

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