Quantum-powered microchip design software earns key grants

Sanghamitra Neogi´s startup brings Artificial Intelligence-driven quantum software to microchip designers, aiming to revolutionize nanoscale heat management.

Semiconductors are essential to modern electronics, forming the core of everything from smartphones to sports watches. However, as chips become smaller and denser, they struggle to manage the heat generated during operation, increasing the risk of performance loss and failure. Sanghamitra Neogi, an associate professor in the Ann and H.J. Smead Aerospace Engineering Sciences department at CU Boulder, is tackling this challenge by developing new methods to safeguard nanoscale semiconductors, whose components are just a few billionths of a meter in size.

Neogi and her CUANTAM Laboratory research group have created AtomThermCAD, advanced software designed to predict how microchip materials generate and dissipate heat. Unlike most design tools, AtomThermCAD leverages Artificial Intelligence techniques alongside quantum physics simulations to model intricate atomic-level phenomena. This allows designers to forecast the risk of overheating in minuscule semiconductors and transistors, potentially saving months or even years in the development and testing phase. The research was initially backed by a multimillion-dollar DARPA MTO Thermonat grant awarded between 2023 and 2025.

To translate this innovation into practical solutions for industry, Neogi founded AtomTCAD Inc., a startup focused on commercializing the software. The company received significant support via an advanced industries proof-of-concept grant from Colorado´s Office of Economic Development and International Trade (OEDIT), alongside matching funds from Venture Partners at CU Boulder. According to OEDIT Executive Director Eve Lieberman, Neogi´s research directly addresses heat management challenges at the nanoscale, boosting chip performance and strengthening Colorado´s advanced technology sector. Beyond the microchip industry, Neogi envisions broader applications for AtomThermCAD in areas such as nanoscale medical devices, implants, and drug delivery systems, opening new frontiers in thermal modeling and device reliability.

75

Impact Score

YouTube expands deepfake detection to Hollywood talent

YouTube is opening its likeness protection system to actors, athletes, musicians and creators beyond its own platform. The move gives public figures a way to flag and request removal of damaging Artificial Intelligence-generated replicas while YouTube weighs broader rules and possible future monetization.

Adobe plans outcome-based pricing for Artificial Intelligence agents

Adobe is positioning its Artificial Intelligence agents around performance-based pricing, charging only when the software completes useful work. The approach points to a more results-oriented model for selling generative Artificial Intelligence tools to business customers.

Tech firms commit billions to Artificial Intelligence infrastructure

Amazon, OpenAI, Nvidia, Meta, Google and others are signing increasingly large cloud, chip and data center agreements as demand for Artificial Intelligence infrastructure accelerates. The latest wave of deals spans investments, compute purchases, chip supply agreements and data center buildouts.

JEDEC outlines LPDDR6 expansion for data centers

JEDEC has previewed planned updates to LPDDR6 aimed at pushing the memory standard beyond mobile devices and into selected data center and accelerated computing use cases. The roadmap includes higher-capacity packaging options, flexible metadata support, 512 GB densities, and a new SOCAMM2 module standard.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.