Uploaded August 2026 | Updated September 2026, 2 weeks ago
Critical industries are looking for new materials to power the next generation of microchips, but traditional discovery methods leave many scientific possibilities unexplored.
At SandboxAQ, the ChemSim team is bridging this gap by combining generative AI, physics-based simulations, and quantum-inspired technology. Backed by a $500 million CHIPS Act award, the team's Large Quantitative Models (LQMs) and proprietary ReAQt platform turn complex science into faster, better decisions.
In this video, ChemSim team members Shalini Sharma, Thomas Mustard, and Ang Xiao discuss:
-The challenge of discovering transformational materials for the semiconductor ecosystem
-How Large Quantitative Models (LQMs) bridge physics, chemistry, and machine learning
-The role of the ReAQt platform in integrating AI simulations with performance validation
-Why SandboxAQ was awarded $500M from the U.S. CHIPS Act to bolster domestic resilience
-How mission-driven scientists are doing career-defining work to expand materials discovery into uncharted territory
The ChemSim team is pioneering the paradigm shift in how science is done. Watch to learn how we’re taking materials discovery from searching in a rowboat to navigating on a sailing ship.
Learn more about our open positions: sandboxaq.com/careers
#SandboxAQ #AQChemSim #CHIPSAct #Semiconductors #MaterialsScience #GenerativeAI #DeepTech #TechCareers #MaterialsDiscovery #FutureOfTech
Critical industries are looking for new materials to power the next generation of microchips, but traditional discovery methods leave many scientific possibilities unexplored.
At SandboxAQ, the ChemSim team is bridging this gap by combining generative AI, physics-based simulations, and quantum-inspired technology. Backed by a $500 million CHIPS Act award, the team's Large Quantitative Models (LQMs) and proprietary ReAQt platform turn complex science into faster, better decisions.
In this video, ChemSim team members Shalini Sharma, Thomas Mustard, and Ang Xiao discuss:
-The challenge of discovering transformational materials for the semiconductor ecosystem
-How Large Quantitative Models (LQMs) bridge physics, chemistry, and machine learning
-The role of the ReAQt platform in integrating AI simulations with performance validation
-Why SandboxAQ was awarded $500M from the U.S. CHIPS Act to bolster domestic resilience
-How mission-driven scientists are doing career-defining work to expand materials discovery into uncharted territory
The ChemSim team is pioneering the paradigm shift in how science is done. Watch to learn how we’re taking materials discovery from searching in a rowboat to navigating on a sailing ship.
Learn more about our open positions: sandboxaq.com/careers
#SandboxAQ #AQChemSim #CHIPSAct #Semiconductors #MaterialsScience #GenerativeAI #DeepTech #TechCareers #MaterialsDiscovery #FutureOfTech
