Resources

A look at how Karan Mehta's group at Cornell uses Nullspace ES in the trap design workflow behind their first experimental demonstration of standing-wave EIT cooling.

This is the first episode in our video series: "AI With Nullspace", hosted by Senior Applications Engineer, Ryan Cutshall.

A phased array scaled from one element to 1,024, run against a legacy commercial solver on the same hardware.

A full RCS validation benchmark, run end to end from a single natural-language prompt.

This webinar explores how LTE/5G shark fin antenna change when moving from free-space simulations to real vehicle installations.

This presentation demonstrates our capabilities through two critical applications: large phased arrays and large-scale RCS analysis—problems that historically required HPC clusters, now achievable on engineering workstations

AI-Powered CAD Cleanup, Accelerated Wideband Analysis and Enhanced RF System Modeling

Modern cellular sites commonly host multiple antennas, making mutual coupling a critical performance consideration.

The free-space performance of an antenna can differ significantly from its installed performance, therefore simulating the antenna array in its actual installation environment is essential for accurate performance evaluation.

The radome effect is a crucial factor when working with antenna arrays, as it can detune the elements and reduce realized gain.

Nullspace CTO Dr. Daniel Faircloth joins Katerina Galitskaya to discuss the engineering decisions behind Nullspace—and why rethinking electromagnetic simulation from the ground up was necessary.

Understanding the differences in solver technologies, meshing philosophies, and workflow approaches.