NVIDIA Modulus: Advanced Topics
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Section 1: Introduction
lecture 1: Introduction
lecture 2: Course Structure
ref.txt
Section 2: Inverse PINNs
Section-2 Files
lecture 3: Inverse PINNs Theory
lecture 4: Define the Problem
lecture 5: Define the Data
lecture 6: Define the Config File
lecture 7: Import Needed Libraries
lecture 8: Define the Governing Equation
lecture 9: Define the Deep Neural Network
lecture 10: Add the Data
lecture 11: Add Inverse Value Monitor
lecture 12: Solve
lecture 13: Results Post Processing
Section 3: Deep Neural Operator (DeepONet)
Section-3 Files
Lecture 14: Deep Neural Operators Theory
lecture 15: Define the Problem
lecture 16: Define the Data
lecture 17: Define the Config File
lecture 18: Import Needed Libraries
lecture 19: Define the Deep Neural Network
lecture 20: Load the Data
lecture 21: Add the Data Constraint
lecture 22: Add Results Validator
lecture 23: Solve
lecture 24: Results Post Processing
Section 4: Deep Neural Operator (FNO - Fourier Neural Operator)
Section-4 Files
lecture 25: Fourier Neural Operator (FNO) Theory
lecture 26: Darcy Flow Problem
lecture 27: Define the Config File
lecture 28: Import Needed Libraries
lecture 29: Define the Data
lecture 30: Define the Deep Neural Network
lecture 31: Add the Data Constraint
lecture 32: Add Validator
lecture 33: Solve
lecture 34: Results View
Section 5: 3D Bracket Stress Analysis
Section-5 Files
lecture 35: 3D Stress Analysis Problem
lecture 36: Define the Config File
lecture 37: Import Needed Libraries
lecture 38: Define the Gov. Eq.
lecture 39: Define the DNN
lecture 40: Define the geometry - part a
lecture 41: Define the geometry - part b
lecture 42: Define the B.C, Interior Constraints
lecture 43: Solve
lecture 44: Results Post Processing
Section 6: PINNs Multi Domain Calculation
Section-6 Files
lecture 45: 3D Flow Solid Multi Domain Problem
lecture 46: Flow configuration file
lecture 47: Define the geometry - part A
lecture 48: Define the geometry - part B
lecture 49: Define the geometry - part C
lecture 50: Flow: Import Needed Libraries
lecture 51: Flow: Define the Gov. Eq. / DNN
lecture 52: Flow: Define the B.C, Interior Constraints
lecture 53: Flow: Add Monitor
lecture 54: Thermal : configuration file
lecture 55: Thermal : Import Needed Libraries
lecture 56: Thermal : Define the Gov. Eq. / DNN
lecture 57: Thermal : Define the B.C, Interior Constraints
lecture 58: Run Flow Code
lecture 59: Run Thermal Code
lecture 60: Results Review
Section 7: Geometric Optimization using PINNs
Section-7 Files
lecture 61: Parameterized 3D Geometry
lecture 62: Geometry Update
lecture 63: Flow Network Update
lecture 64: Thermal Networks Updated
lecture 65: Run (Retrain All)
lecture 66: Results view
Products
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NVIDIA Modulus: Advanced Topics
NVIDIA Modulus: Advanced Topics
NVIDIA Modulus: Advanced Topics
Buy now
Learn more
Section 1: Introduction
lecture 1: Introduction
lecture 2: Course Structure
ref.txt
Section 2: Inverse PINNs
Section-2 Files
lecture 3: Inverse PINNs Theory
lecture 4: Define the Problem
lecture 5: Define the Data
lecture 6: Define the Config File
lecture 7: Import Needed Libraries
lecture 8: Define the Governing Equation
lecture 9: Define the Deep Neural Network
lecture 10: Add the Data
lecture 11: Add Inverse Value Monitor
lecture 12: Solve
lecture 13: Results Post Processing
Section 3: Deep Neural Operator (DeepONet)
Section-3 Files
Lecture 14: Deep Neural Operators Theory
lecture 15: Define the Problem
lecture 16: Define the Data
lecture 17: Define the Config File
lecture 18: Import Needed Libraries
lecture 19: Define the Deep Neural Network
lecture 20: Load the Data
lecture 21: Add the Data Constraint
lecture 22: Add Results Validator
lecture 23: Solve
lecture 24: Results Post Processing
Section 4: Deep Neural Operator (FNO - Fourier Neural Operator)
Section-4 Files
lecture 25: Fourier Neural Operator (FNO) Theory
lecture 26: Darcy Flow Problem
lecture 27: Define the Config File
lecture 28: Import Needed Libraries
lecture 29: Define the Data
lecture 30: Define the Deep Neural Network
lecture 31: Add the Data Constraint
lecture 32: Add Validator
lecture 33: Solve
lecture 34: Results View
Section 5: 3D Bracket Stress Analysis
Section-5 Files
lecture 35: 3D Stress Analysis Problem
lecture 36: Define the Config File
lecture 37: Import Needed Libraries
lecture 38: Define the Gov. Eq.
lecture 39: Define the DNN
lecture 40: Define the geometry - part a
lecture 41: Define the geometry - part b
lecture 42: Define the B.C, Interior Constraints
lecture 43: Solve
lecture 44: Results Post Processing
Section 6: PINNs Multi Domain Calculation
Section-6 Files
lecture 45: 3D Flow Solid Multi Domain Problem
lecture 46: Flow configuration file
lecture 47: Define the geometry - part A
lecture 48: Define the geometry - part B
lecture 49: Define the geometry - part C
lecture 50: Flow: Import Needed Libraries
lecture 51: Flow: Define the Gov. Eq. / DNN
lecture 52: Flow: Define the B.C, Interior Constraints
lecture 53: Flow: Add Monitor
lecture 54: Thermal : configuration file
lecture 55: Thermal : Import Needed Libraries
lecture 56: Thermal : Define the Gov. Eq. / DNN
lecture 57: Thermal : Define the B.C, Interior Constraints
lecture 58: Run Flow Code
lecture 59: Run Thermal Code
lecture 60: Results Review
Section 7: Geometric Optimization using PINNs
Section-7 Files
lecture 61: Parameterized 3D Geometry
lecture 62: Geometry Update
lecture 63: Flow Network Update
lecture 64: Thermal Networks Updated
lecture 65: Run (Retrain All)
lecture 66: Results view
Learn more
Buy now
Section 1: Introduction
3 Lessons
lecture 1: Introduction
lecture 2: Course Structure
ref.txt
Section 2: Inverse PINNs
12 Lessons
Section-2 Files
lecture 3: Inverse PINNs Theory
lecture 4: Define the Problem
lecture 5: Define the Data
lecture 6: Define the Config File
lecture 7: Import Needed Libraries
lecture 8: Define the Governing Equation
lecture 9: Define the Deep Neural Network
lecture 10: Add the Data
lecture 11: Add Inverse Value Monitor
lecture 12: Solve
lecture 13: Results Post Processing
Section 3: Deep Neural Operator (DeepONet)
12 Lessons
Section-3 Files
Lecture 14: Deep Neural Operators Theory
lecture 15: Define the Problem
lecture 16: Define the Data
lecture 17: Define the Config File
lecture 18: Import Needed Libraries
lecture 19: Define the Deep Neural Network
lecture 20: Load the Data
lecture 21: Add the Data Constraint
lecture 22: Add Results Validator
lecture 23: Solve
lecture 24: Results Post Processing
Section 4: Deep Neural Operator (FNO - Fourier Neural Operator)
11 Lessons
Section-4 Files
lecture 25: Fourier Neural Operator (FNO) Theory
lecture 26: Darcy Flow Problem
lecture 27: Define the Config File
lecture 28: Import Needed Libraries
lecture 29: Define the Data
lecture 30: Define the Deep Neural Network
lecture 31: Add the Data Constraint
lecture 32: Add Validator
lecture 33: Solve
lecture 34: Results View
Section 5: 3D Bracket Stress Analysis
11 Lessons
Section-5 Files
lecture 35: 3D Stress Analysis Problem
lecture 36: Define the Config File
lecture 37: Import Needed Libraries
lecture 38: Define the Gov. Eq.
lecture 39: Define the DNN
lecture 40: Define the geometry - part a
lecture 41: Define the geometry - part b
lecture 42: Define the B.C, Interior Constraints
lecture 43: Solve
lecture 44: Results Post Processing
Section 6: PINNs Multi Domain Calculation
17 Lessons
Section-6 Files
lecture 45: 3D Flow Solid Multi Domain Problem
lecture 46: Flow configuration file
lecture 47: Define the geometry - part A
lecture 48: Define the geometry - part B
lecture 49: Define the geometry - part C
lecture 50: Flow: Import Needed Libraries
lecture 51: Flow: Define the Gov. Eq. / DNN
lecture 52: Flow: Define the B.C, Interior Constraints
lecture 53: Flow: Add Monitor
lecture 54: Thermal : configuration file
lecture 55: Thermal : Import Needed Libraries
lecture 56: Thermal : Define the Gov. Eq. / DNN
lecture 57: Thermal : Define the B.C, Interior Constraints
lecture 58: Run Flow Code
lecture 59: Run Thermal Code
lecture 60: Results Review
Section 7: Geometric Optimization using PINNs
7 Lessons
Section-7 Files
lecture 61: Parameterized 3D Geometry
lecture 62: Geometry Update
lecture 63: Flow Network Update
lecture 64: Thermal Networks Updated
lecture 65: Run (Retrain All)
lecture 66: Results view