Researchers expand simulation tool to help design the next generation of photonic and quantum devices

Researchers from the Singapore University of Technology and Design (SUTD) and the National University of Singapore (NUS) have expanded a simulation tool commonly used in plasma physics to better understand and design photonic and quantum devices. The updated method, which builds upon the well-established particle-in-cell (PIC) technique, allows scientists to simultaneously model large-scale device behavior and track detailed electron dynamics, a previously unattainable balance in computational modeling. The breakthrough was published in Computer Physics Communications, under the title “Particle-in-cell simulations of quantum plasmas.” The study outlines how the PIC method, traditionally applied to classical plasmas, has been modified to incorporate principles of condensed-matter physics. This adaptation enables the simulation of light-matter interactions in metals, semiconductors, and other quantum materials, offering a more comprehensive view of how these materials respond to external stimuli. Current simulation tools often force users to make compromises. Some are capable of simulating the overall performance of a device but lack the resolution needed to analyze electron behavior. Others offer high-resolution insights into electron activity but are limited to small-scale structures, making them impractical for real-world applications. The new approach eliminates this limitation by integrating both levels of analysis within a single platform. Associate Professor Wu Lin from SUTD’s Science, Mathematics and Technology Cluster explained the significance of the achievement. “For many years, researchers have had to choose between understanding how an entire device behaves and seeing what individual electrons are doing,” he said. “We wanted to remove that trade-off. By extending an established simulation method rather than building a new one from scratch, we’ve created a framework that gives researchers a much richer picture of how light and electrons interact inside advanced materials.” Instead of creating a completely new simulator, the researchers enhanced an existing computational method already trusted by plasma physicists worldwide. PIC simulations are widely used to model charged particles and electromagnetic fields. However, they were originally designed for classical plasmas and could not effectively capture the quantum behavior of electrons in condensed materials like metals, semiconductors, and graphene. To address these challenges, the team introduced four new physics modules that extend PIC simulations to account for key quantum effects while preserving the method’s core advantages. These enhancements enable researchers to explore a broader spectrum of nanoscale light-matter interactions all within one computational environment. The researchers tested their framework across various condensed-matter systems, including plasmonic metals, ultraviolet silicon nanostructures, and graphene-based materials. Their results highlight the versatility of the approach for investigating intricate electromagnetic phenomena, demonstrating its potential to support advancements in multiple scientific and engineering disciplines. This development could significantly impact researchers and engineers working on next-generation semiconductor and quantum technologies. By providing a more accurate and flexible simulation tool, the work lays the groundwork for improved designs in optical communication systems, AI hardware, advanced sensors, and medical imaging equipment. As the field continues to evolve, this advancement represents a crucial step toward unlocking new capabilities in photonic and quantum computing.