MemrisTec
MemrisTecMemristors are an exciting new type of electronic component that can both process and store information at the same time. They could one day make computers faster, smaller, and far more energy-efficient — especially for tasks like artificial intelligence and image processing. But there’s a challenge: many different memristor technologies exist, and each one is described by its own mathematical model. These models are scattered across research papers, written in different programming languages, and difficult to compare. That makes it hard for researchers, students and engineers to figure out which device works best for which application. The MemrisTec Model Platform aims to solve exactly this problem.
We want to build an open and easy-to-use platform that brings the latest memristor models together in one place. With this platform, you can explore, simulate, and compare memristive devices side by side, and see how they perform in real-world applications.
We are gathering compact memristor models developed within the MemrisTec projects and further already published ones. Each model is evaluated and compared based on the physical properties of the device it describes.
→ To the model table
Here we want to let you discover the dynamics of individual memristor models.
→ To the Model Simulator
A GitLab repository was created, including collected compact memristor models derived so far and those derived within the projects of the priority program MemrisTec. The algorithms are written down in the programming language Python, free for everybody to use, study and enhance.
→ To the Repository
To make the models easy to apply, we will also provide some common circuit primitives, including:
Coming Soon