SandboxAQ

Omar Allam, Research Scientist, and Jiyoon Kim, Postdoctoral Fellow will be presenting at the 2025 Materials Research Society's fall meeting and exhibit. The world's foremost international scientific gathering for materials research, the MRS Meeting showcases leading interdisciplinary research in both fundamental and applied areas presented by scientists from around the world. Omar will be presenting on Advances in Bespoke and Foundation Machine Learning Interatomic Potentials and Jiyoon will speak on Accelerated Materials Discovery Through Data-Driven AI and Automation. Learn more about the cutting-edge research at the event: https://lnkd.in/gnh4VHKq

What if AI could design new drugs, materials... even medicines for diseases once thought untreatable? Unlike language models, LQMs are trained on the laws of physics, enabling them to simulate complex molecular interactions with incredible precision. The result? Faster drug discovery, less reliance on animal testing, and the ability to design novel compounds across pharma, defense, and materials science. If you've are wondering where quantitative AI is making the biggest impact in pharma, materials science, and defense — or what separates LQMs from other forms of AI in life sciences, this episode of the Artificial Intelligence Podcast is what you've been searching for: https://lnkd.in/gd549qtQ

A huge thank you to all the brilliant speakers, moderators, and panelists for sharing their insights, challenges, and visions of the future this year World Summit AI. SandboxAQ’s VP Fernando Dominguez Pinuaga and EY’s Natalia Rodriguez Martin shared how quantitative AI and quantum technologies are driving large-scale transformation in sectors like biopharma, energy, and national security. #WorldSummitAI #WSAI #AIBrains #WorldAIWeek #InspiredMinds

What does it really take to build a physics-based quantum communication network? In this new interview, Fernando Dominguez Pinuaga, SandboxAQ VP of Global Outreach, dives deep with James A Grieve, Head of Quantum Communications at the Technology Innovation Institute, to unpack the future of quantum-secure connectivity. Get an insider look at why QKD is today’s “killer app” for quantum networking, how TII turns complex research into real-world technology, and more: https://lnkd.in/eC9AkxWk

We’re honored to be recognized as a 2025 Fierce Innovator from Fierce Biotech for our work advancing in-silico drug discovery with AQBioSim. This award reflects the dedication of our team and the biopharma companies, academic institutions, and nonprofits who are using LQMs to accelerate breakthroughs in diseases like Alzheimer’s, Parkinson’s, and glioblastoma. We’re committed to pushing the boundaries of simulation and AI to transform R&D and improve patient outcomes: https://lnkd.in/eWwDDwvm

Kelly Richdale highlighting the value of #Quantum for #Financial Services with the World Economic Forum

What does it take to map the “electrical wiring” of a newborn’s heart when the entire organ is the size of a strawberry? In our latest Tech Talk, Brian Cottle researcher shows how custom ML and computer vision models can reconstruct the neonatal conduction system in micron-level 3D detail, offering surgeons new quantitative insights for complex pediatric procedures. If you’re into applied AI, biomedical engineering, or computational modeling, you won’t want to miss this deep dive: https://lnkd.in/eR2QPqPB

AI-accelerated simulations are reshaping how we design catalysts, discover new drugs, and create sustainable materials. In this month's The Chemical Engineering Guy(s) Podcast, Jeff Graf, SandboxAQ's Global Head of Business Development, discusses how these new models overcome traditional limitations of quantum and classical computing. In partnership leading chemical producers and researchers, we're accelerating the discovery and screening of new material with powerful new AI models. Don't miss this episode. It's a top tier listen: https://bit.ly/3JDtwvw

With the help of our incredible team, SandboxAQ is transforming the future of energy. At The Battery Show North America 2025, Dr. Ang Xiao, our Technical Lead, AI & Quantum Application, received the award for AI Battery Startup of the Year. In a new interview with Power Systems Design, Ang describes the research behind this award, offering insight into how our Large Quantitative Models (LQMs) decrease battery life prediction time by 95%. He also discusses the three new promising cobalt-free cathode materials we've identified and validated. Full article: https://bit.ly/4oLkITE

Drug discovery has not yet had its “ChatGPT moment,” according to Arman Zaribafiyan, PhD, Head of Product, AI Simulation, and Platforms at SandboxAQ, in an interview with Fay Lin, PhD, GEN. https://lnkd.in/eMzJGefN