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Average Ratings 0 Ratings
Description
Differential Bio is an innovative virtual platform designed to enhance bioprocess optimization by making microbial growth more predictable, scalable, and economically viable, utilizing robotic laboratory automation and insights driven by artificial intelligence. The process initiates with automated, high-throughput experiments that replicate large-scale stress conditions within microliter settings, thereby producing relevant wet-lab data via liquid handling, fermentation, and measurement techniques. Tailored AI algorithms analyze this data to forecast various outcomes, including biomass growth, protein production, cell viability, titer, production rate, yield, and associated costs. Users can access the web-based platform to set their optimization targets and parameter limits, conduct limitless in-silico simulations, compare the results of simulated fermentation processes, engage in multi-objective optimization, and pinpoint the optimal conditions for scaling up production. This comprehensive approach not only streamlines the optimization workflow but also empowers teams to make data-informed decisions in bioprocess development.
Description
NVIDIA PhysicsNeMo is a publicly available Python-based deep-learning framework designed for the creation, training, fine-tuning, and inference of physics-AI models that integrate physical principles with data, thereby enhancing simulations, developing accurate surrogate models, and facilitating near-real-time predictions in various fields such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate studies, and digital twin technologies. This framework offers powerful, GPU-accelerated capabilities along with Python APIs that are built on the PyTorch platform and distributed under the Apache 2.0 license, featuring a selection of curated model architectures that include physics-informed neural networks, neural operators, graph neural networks, and generative AI techniques, enabling developers to effectively leverage physics-based causal relationships together with empirical data for high-quality engineering modeling. Additionally, PhysicsNeMo provides comprehensive training pipelines that encompass everything from geometry ingestion to the application of differential equations, along with reference application recipes that help users quickly initiate their development workflows. This combination of features makes PhysicsNeMo an essential tool for engineers and researchers seeking to advance their work in physics-driven AI applications.
API Access
Has API
API Access
Has API
Integrations
PyTorch
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Differential Bio
Country
Germany
Website
www.differential.bio/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/physicsnemo