PyNucleus. Dr. Christian Glusa

(10:46)

Pyosyn: Advanced computational tools for process synthesis

(1:9:5)

Solid-State Nanopores Fabricated Using NNi Software

(2:54)

Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)

(1:5:33)

Anima Anandkumar - Neural operator: A new paradigm for learning PDEs

(59:56)

Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad

(1:10:36)

Lecture 14: Tree Recursive Neural Networks and Constituency Parsing

(1:22:8)

QuCS Lecture10: Yilian Liu (Cornell): Solving Nonlinear PDE using Variational Quantum Algorithms

(1:3:5)

Maziar Raissi: \

(50:6)

Nano in Action – Nanocomposites

(1:18:32)

Understanding the life cycle implications of the circular economy

(57:44)

Differentiable Physics (for Deep Learning), Overview Talk by Nils Thuerey

(40:49)

Artificial Intelligence in Chemical Engineering: Past, Present, and Future

(1:10:41)

Florian Pein: Model free idealisation of patchclamp recordings

(1:6:50)

George Karniadakis - From PINNs to DeepOnets

(1:18:53)

Permas for NX Interface introduction and walkthrough

(5:10)

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(1:15:9)

PhD Research Series - Eoin Brophy - Data Synthesis

(4:6)

Nils Thuerey - Phiflow: A differentiable PDE solving framework for deep learning

(21:17)

Designer 2D materials for multiplexed biosensing and machine-learning assisted characterization

(59:10)

Jianfeng Lu: \

(45:46)

NAIPI Data Science Training for Biomedical Research: Dr. Konstantin Gus Kousoulas

(28:41)

Fermion Encodings and the Simulation of Quantum Chemistry

(1:10:35)

Panel Computing and the Brain

(1:15:33)