In this final episode of our antenna simulation series, expert Katerina Galitskaya takes it to the next level: modeling and analyzing dual antenna array installations on a 10-meter telecom tower with Nullspace — an example  of a real-world RF deployment.

In this fifth episode of our tutorial series, antenna engineer Katerina Galitskaya tackles the complexities of antenna array installation on telecom towers—unlocking the true challenges of real-world deployment.

In this fourth episode of our tutorial series, antenna engineer Katerina Galitskaya explores the critical role of radome design in antenna array performance.

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.

As RF systems grow more complex—larger phased arrays, on-platform antenna integration, electrically large structures—the architecture of your simulation tool increasingly determines what's practical to analyze within project timelines. Read our comprehensive comparison of Nullspace EM vs. HFSS vs. CST Studio Suite to see what best matches your project requirements.

In this third episode of our tutorial series, antenna engineer Katerina Galitsky dives into a phased array beamforming tutorial. She covers element spacing, beam steering and side lobe control.

In this second episode of our tutorial series, antenna engineer Katerina Galitsky builds on the fundamentals from Episode 1 by transforming a single bow-tie element into a powerful four-element antenna array. Whether you’re optimizing for gain, minimizing side lobes, or exploring new array configurations, this tutorial shows you how Nullspace supports efficient and intuitive antenna array design.

Antenna engineer Katerina Galitzca kicks off a six-part tutorial series learning Nullspace. Katerina is an experienced user of EM simulation tools like Ansys's HFSS and Simulia CST. As a more complex variant of a simple dipole antenna, the printed bowtie is widely used in cellular and space applications. This first tutorial covers the modeling, simulation, and post-processing of an over-the-ground printed bowtie antenna.

Nullspace is pleased to announce the release of Nullspace ES 2025 R1, featuring significant enhancements that dramatically improve computational efficiency and enable solutions to larger-scale electrostatic problems than ever before. This release introduces high-order basis functions and delivers substantial performance improvements across the entire simulation workflow.

Dr. Curtis Volin, a Principal Ion Trap Designer with Oxford Ionics, presents a walk-through of the layout and simulation of a linear micro-fabricated surface-electrode ion trap using Nullspace ES - an electrostatic simulation code. The ion trap demonstration includes features that are not captured in a gapless plane approximation, including a load slot, faraday cage, and finite die extent.

Discover how EntroTech, IERUS Technologies, and Nullspace Inc. joined forces to to develop a novel antenna with equal or superior communications performance, greatly reduced drag, and larger surface area for the advertisements on the body of the vehicle. IERUS engineers, utilizing Nullspace EM, focused on producing an effective design of an antenna embedded within the vehicle's paint application.

Join us for the last episode of our webinar series as we dive into how to efficiently create antenna and GRIN lens geometries using Nullspace Prep. Explore a detailed case study that highlights the advantages of GRIN lenses over alternative approaches, and walk through the entire simulation process, from concept to as-fabricated results.

Join us as we delve into Fortify’s sophisticated process for creating Gradient Refractive Index (GRIN) lenses. We will explore the innovative applications of GRIN lenses in addressing complex challenges in both defense and commercial antenna systems and walk through the whole process from initial concept to fabrication of an antenna lens system.

Explore the innovative manufacturing techniques of Fortify and the powerful optimization capabilities of Nullspace’s EM simulation, guiding you through the end-to-end process of designing, fabricating, and testing RF lenses.

This on-demand webinar demonstrates the setup, execution, and analysis of an EM simulation for a 16GHz patch antenna design using Nullspace EM software, including guidance on simulation setup, running, and result analysis - leveraging the Nullspace Python library for efficient post-processing.

In this on-demand webinar, a Nullspace applications engineer will walk you through the process of Material library creation, material and port assignment and finally meshing in Nullspace Prep for a 16Ghz patch antenna design, using Nullspace Prep software.

Learn how to get started with Nullspace software to simulate electrically-large problems quickly and accurately! In this on-demand webinar, a Nullspace applications engineer will walk you through the process of CAD modeling and CAD operation in Nullspace Prep for a 16Ghz patch antenna design, using Nullspace Prep software.

Our CTO, Dr. Daniel Faircloth, describes why running EM simulations over 25 times faster than any leading commercial tools on the market today, is so significant. Nullspace software products save engineers weeks of waiting for simulation results - allowing RF experts to simulate more complex problems, analyze much larger antennas and radar systems, avoid many costly physical prototypes and design RF products that might have existed only as a pipe dream

This whitepaper discusses the challenges in EM simulation for modern RF technologies, updates on recently released advancements in EM simulation technology, as well as potential benefits of having access to faster and more accurate EM simulation software that has been purposefully built to efficiently simulate electrically large bodies.

This example will walk you through the simulation and post-processing of a Ka-Band horn antenna mesh, using Python scripts. Nullspace EM provides a powerful Python-based application programming interface that controls every aspect of the simulation process.