Beyond Ideal Crystals: The Case For Scale In Atomistic Modeling


Almost all computer simulations face the same trade-off: larger models can be more realistic and therefore more useful, but they also take longer to run. Engineers and scientists are therefore faced with an almost daily challenge of choosing a model that is detailed enough to capture the important details without making the calculation impractically expensive. "All models are wrong, but some... » read more

Materials Modeling Of Superconducting Qubits In Quantum Computers


While the concept of quantum computing has been discussed for more than 40 years, only recently have experiments indicated that a practical quantum computer may be possible. Recent developments in this area have captured headlines with dramatic claims—and equally dramatic rebuttals. Google’s Willow chip demonstrated error-corrected operations in late 2024, while D-Wave’s assertion of quan... » read more

Revolutionizing Semiconductor Development With GPU-Enhanced Atomistic Modeling


There are many challenges in the development of a modern semiconductor chip, from front-end architecture simulation to final signoff. Volume manufacturing has its own set of challenges, while silicon lifecycle management (SLM) extends into field deployment and aging concerns. Underlying this entire development flow, however, lie the materials used to build the actual chips. Guiding the explorat... » read more