GradNova

Home
Find Faculty
Universities
Research
Home
/
Research
/

Computational Physics and Python Applications

Computational Physics and Python Applications

9 faculty research Computational Physics and Python Applications on GradNova.

S
Artificial Intelligence (ml: Theory and Modeling, Physics-Informed Machine Learning)
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Tensor Decomposition and Applications
+2
V
Artificial Intelligence (physics-Informed Machine Learning)
Scientific Computing (geometry and Mesh Generation, High-Performance Computing, Modeling Methods and Frameworks)
Model Reduction and Neural Networks
Fluid Dynamics and Turbulent Flows
+3
D
Computational Physics and Python Applications
A
3D Shape Modeling and Analysis
Advanced Vision and Imaging
Computational Physics and Python Applications
Computer Graphics and Visualization Techniques
+1
B
Bioinformatics and Computational Biology
Cosmology and Gravitation Theories
Relativity and Gravitational Theory
Astronomy and Astrophysical Research
+2
D
Computational Geometry and Mesh Generation
Computational Physics and Python Applications
Digital Image Processing Techniques
Teaching and Learning Programming
+1
Y
Yiling Chen

Gordon McKay Professor of Computer Science

Computer Science

Harvard University

Computational Physics and Python Applications
High-Energy Particle Collisions Research
Particle Detector Development and Performance
Particle Physics Theoretical and Experimental Studies
+1
J
Advanced Data Storage Technologies
Computational Physics and Python Applications
Distributed Systems and Fault Tolerance
Logic, Programming, and Type Systems
+1
P
AI in Service Interactions
Computational Physics and Python Applications
E-Learning and Knowledge Management
Intelligent Tutoring Systems and Adaptive Learning
+4