NVIDIA Modulus Advanced Topics

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Free Download NVIDIA Modulus Advanced Topics
Published 4/2024
Created by Dr.Mohammad Samara
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 66 Lectures ( 10h 5m ) | Size: 13.5 GB

Advanced Simulations with AI
What you'll learn:
I-PINNs for 2D heat sink flow problem .
DeepONet for Integration problem.
Fourier Neural Operator FNO for Darcy problem.
PINNs for 3D Linear Elasticity Problem.
PINNs for 3D Fluid/ Solid Multi Domain Calculation.
PINNs for 3D Geometric Optimization for Heat Exchanger Flow Problem.
Requirements:
High School Math
Basic Python knowledge
Description:
DescriptionThis course is related with Advanced topics related with PINNs using NVIDIA Modulus. We will cover the topics of Inverse PINNs, Deep Neural Operator Network with DeepONet, Deep Neural Operator Network using Fourier Neural Operator (FNO), PINN for 3D Linear Elasticity Problem, PINNs for Multi Domain Calculation, and Geometric Optimization using PINNs.What skills will you Learn:In this course, you will learn the following skills:Understand the Math behind solving partial differential equations (PDEs) with PINNs, I-PINNs, Deep Neural Operator Network for DeepONet, along with FNO, Multi Domain Calculation and finally Geometric Optimization using PINNs.Write and build Machine Learning Algorithms to solve PINNs using Nvidia Modulus.Postprocess the results.Pre-process the data and upload it to Nvidia Modulus.Use opensource libraries.We will cover:Inverse Physics-Informed Neural Networks (I-PINNs) Solution for 2D heat sink flow problem .Deep Neural Operator Network (DeepONet) Solution for Integration problem.Deep Neural Operator Network Fourier Neural Operator (FNO) Solution for Darcy problem.Physics-Informed Neural Networks (PINNs) Solution for 3D Linear Elasticity Problem.Physics-Informed Neural Networks (PINNs) Solution for 3D Fluid/ Solid Multi Domain Calculation.Physics-Informed Neural Networks (PINNs) Solution for 3D Geometric Optimization for Heat Exchanger Flow Problem.If you do not have prior experience in Machine Learning or Computational Engineering, that's no problem. However it is recommended to have knowledge in the basics of the use and code running using Nvidia Modulus. Let's enjoy Learning Nvidia Modulus together.
Who this course is for:
Engineers and Programmers whom want to Learn PINNs
learn Advanced Topics NVIDIA Modulus
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Download Free Download : NVIDIA Modulus Advanced Topics
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:13.57 GB
​

Files Included :

Spoiler

1 Introduction.mp4 (95.71 MB)
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2 Course Structure.mp4 (143.79 MB)
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1 Inverse PINNs Theory.mp4 (238.05 MB)
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10 Solve.mp4 (251.76 MB)
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11 Results Post Processing.mp4 (111.28 MB)
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2 Define the Problem.mp4 (62.43 MB)
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3 Define the Data.mp4 (68.58 MB)
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4 Define the Config File.mp4 (191.37 MB)
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5 Import Needed Libraries.mp4 (363.3 MB)
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6 Define the Governing Equation.mp4 (119.88 MB)
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7 Define the Deep Neural Network.mp4 (278.96 MB)
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8 Add the Data.mp4 (285.68 MB)
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9 Add Inverse Value Monitor.mp4 (84.39 MB)
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1 Deep Neural Operators Theory.mp4 (463.61 MB)
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10 Solve.mp4 (112.49 MB)
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11 Results Post Processing.mp4 (210.59 MB)
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2 Define the Problem.mp4 (77.06 MB)
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3 Define the Data.mp4 (82.27 MB)
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4 Define the Config File.mp4 (123.87 MB)
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5 Import Needed Libraries.mp4 (169.64 MB)
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6 Define the Deep Neural Network.mp4 (138.55 MB)
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7 Load the Data.mp4 (105.25 MB)
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8 Add the Data Constraint.mp4 (61.02 MB)
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9 Add Results Validator.mp4 (117.09 MB)
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1 Fourier Neural Operator (FNO) Theory.mp4 (360.71 MB)
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10 Results View.mp4 (47.84 MB)
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2 Darcy Flow Problem.mp4 (55.66 MB)
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3 Define the Config File.mp4 (154.55 MB)
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4 Import Needed Libraries.mp4 (141.35 MB)
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5 Define the Data.mp4 (236.8 MB)
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6 Define the Deep Neural Network.mp4 (79.39 MB)
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7 Add the Data Constraint.mp4 (62.61 MB)
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8 Add Validator.mp4 (60.48 MB)
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9 Solve.mp4 (79.84 MB)
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1 3D Stress Analysis Problem.mp4 (115.09 MB)
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10 Results Post Processing.mp4 (290.32 MB)
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2 Define the Config File.mp4 (169.61 MB)
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3 Import Needed Libraries.mp4 (197.75 MB)
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4 Define the Gov Eq.mp4 (189.07 MB)
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5 Define the DNN.mp4 (123.1 MB)
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6 Define the geometry - part a.mp4 (278.12 MB)
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7 Define the geometry - part b.mp4 (347.63 MB)
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8 Define the B C, Interior Constraints.mp4 (401.53 MB)
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9 Solve.mp4 (155.89 MB)
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1 3D Flow Solid Multi Domain Problem.mp4 (78.27 MB)
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10 Thermal configuration file.mp4 (245.58 MB)
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11 Thermal Import Needed Libraries.mp4 (257.95 MB)
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12 Thermal Define the Gov Eq DNN.mp4 (310.4 MB)
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13 Thermal Define the B C, Interior Constraints.mp4 (647.4 MB)
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14 Run Flow Code.mp4 (281.37 MB)
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15 Run Thermal Code.mp4 (233.99 MB)
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16 Results Review.mp4 (363.87 MB)
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2 Flow configuration file.mp4 (266.47 MB)
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3 Define the geometry - part A.mp4 (655.42 MB)
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4 Define the geometry - part B.mp4 (456.17 MB)
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5 Define the geometry - part C.mp4 (269.92 MB)
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6 Flow Import Needed Libraries.mp4 (271.17 MB)
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7 Flow Define the Gov Eq DNN.mp4 (208.17 MB)
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8 Flow Define the B C, Interior Constraints.mp4 (543.82 MB)
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9 Flow Add Monitor.mp4 (103.7 MB)
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1 Parameterized 3D Geometry.mp4 (21.42 MB)
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2 Geometry Update.mp4 (105.49 MB)
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3 Flow Network Update.mp4 (85.01 MB)
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4 Thermal Networks Updated.mp4 (10.35 MB)
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5 Run (Retrain All).mp4 (60.02 MB)
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6 Results view.mp4 (113.44 MB)
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