AIPOCH Network
Find a direction, understand the work, and discover what you can build on.
Model and analyze electrical networks, power flows and optimization problems.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Read, represent and transform digital scores and symbolic performance data.
Build differentiable quantum circuits and compute expectation values and gradients through supported backends.
Compute phonon interactions, lifetimes and lattice thermal conductivity.
Compute harmonic and quasi-harmonic phonon properties from crystal structures and forces.
Compute rigid-body robot dynamics, Jacobians and derivatives from models and states.
Build modular image-analysis workflows for plant phenotyping.
Catalog snapshot 2026-09-22. Date ranges use UTC. Filters use the captured page time; results can change with a new catalog snapshot. Research stays at its original source.