The Impact of AI on Fusion Development

Imagine using video game technology to solve one of the toughest challenges in nuclear fusion — detecting high-speed particle collisions inside a reactor with lightning-fast precision. A team of researchers at UNIST has developed a groundbreaking algorithm inspired by collision detection in video games. This new method dramatically speeds up identifying particle impacts inside fusion reactors, essential for improving reactor stability and design. By cutting down unnecessary calculations, the algorithm enables real-time visualization and analysis, paving the way for safer and more efficient fusion energy development. 🎮 Gaming tech meets fusion science: The algorithm borrows from video game bullet-hit detection to track particle collisions. ⚡ 15x faster detection: It outperforms traditional methods by speeding up collision detection by up to fifteen times. 🔍 Smart calculation: Eliminates 99.9% of unnecessary computations with simple arithmetic shortcuts. 🌐 3D digital twin: Applied in the Virtual KSTAR, a detailed Korean fusion reactor virtual model. 🚀 Future-ready: Plans to leverage GPU supercomputers for faster processing and enhanced reactor simulations #FusionEnergy #VideoGameTech #ParticleDetection #NuclearFusion #Innovation #AIAlgorithm #VirtualKSTAR #CleanEnergy #ScientificBreakthrough #HighSpeedComputing https://lnkd.in/gfcssNTC

Video game algorithms are now accelerating fusion breakthroughs. Scientists in South Korea repurposed Unity’s collision-detection code, best known for keeping virtual bullets from passing through walls, to model how high-energy ions strike the denser plasma in their KSTAR fusion reactor. It helps solve one of fusion’s core challenges: tracking chaotic collisions between fast-moving ions and bulk ions, the key to heating plasma to fusion temperatures. Graphics chips once jump-started modern AI; now game-engine math is nudging fusion research forward.

For over a decade, Google has been a research and funding partner with TAE Technologies, Inc - so why do we make these long-term bets on audacious goals like nuclear fusion? Nuclear fusion, in simple terms, fusion is the process that powers the sun. It involves taking lighter elements and fusing them together under immense heat and pressure to create a new element, releasing a tremendous amount of clean energy in the process. TAE's goal is to harness this power on Earth in a compact, safe, and commercially viable way. The simple answer for our involvement is that it's core to our DNA. At Google, we believe technology should be a force for good, and we aren’t afraid to tackle the big, foundational challenges. --> The exponential growth of computing and AI demands a future with abundant, clean energy. To accelerate progress, we used what we do best: AI and massive-scale data analysis. Our engineers worked onsite with TAE to co-develop advanced algorithms that could "see" inside the plasma. This digital-first approach allowed us to: 🟢 Triple the plasma's lifetime by using our "Optometrist Algorithm" to navigate over 1,000 complex control variables. 🟢 Reconstruct plasma behavior by applying Bayesian modeling and TensorFlow on GPUs to turn immense datasets into a clear picture of the reaction. 🟢 Simplify the fusion device itself after AI-driven insights helped TAE realize they could redesign their machine with roughly half the hardware. The future of AI and the future of energy are inextricably linked. The impact of this work is two-fold: for the planet and for the future of our industry. We need a clean, reliable, 24/7 power source to complement renewables, and fusion promises exactly that. 🟡 The technology is designed for continuous, on-demand power, making it ideal for the needs of data centers! 🟡 And the inherent safety profile and lack of long-lived waste create siting flexibility, allows wing plants to be co-located near industrial hubs. Read more on the Keyword - https://lnkd.in/exKgeXz7 #NuclearFusion #AIforGood #Google #CleanEnergy #Sustainability

Since 2015, Google Research has partnered with TAE Technologies, Inc, applying AI to tackle the immense challenge of fusion energy. Our teams have worked side-by-side, using AI to unlock crucial insights into plasma behavior and significantly improve plasma temperature and lifetime. AI has proven crucial in the analysis and optimization of super hot plasma, given the infeasibility of direct probe insertion. This deep collaboration led to a breakthrough: in 2023, informed by our joint plasma reconstruction work, TAE successfully simplified and rebuilt their fusion machine. This is a huge step toward making fusion economically viable by reducing complexity and cost. We've been an investor in TAE since 2015, and recently participated in their latest funding round, reinforcing our belief in their distinctive approach to fusion. We look forward to TAE’s continued progress with their distinctive pathway to fusion — one of our bets for a cleaner energy future. Read more in the Google Keyword blog by Ross Koningstein: https://lnkd.in/dAqT6yMj

AI COLLIDES WITH NUCLEAR FUSION, THE NEXT BIG BANG IGNITED Commonwealth Fusion Systems, a venture-backed startup, just pulled in $863M for fusion - the biggest nuclear raise of 2025 and second only to its own $1.8B record - because AI’s hunger is pulling nuclear fusion from science project to a bankable business. This isn’t a government lab writing checks. It’s private capital - including from our friends at Breakthrough Energy - betting that a startup can deliver safe, limitless, carbon-free energy. That’s not just the physics of plasma - it’s the physics of AI acting as an economic centripetal force, accelerating the spin-off of everything in its orbit. Every general-purpose technology explodes like a mini big bang, seeding entirely new ecosystems of industries. Electricity was the catalyst for electronics, which led to computing. The internet was the catalyst for cloud, which gave us AI. And now AI’s insatiable demand for clean, around-the-clock energy is pulling forward nuclear fusion decades earlier than expected. If AI data center infrastructure are the railroads of tomorrow, then nuclear energy may be the fuel powering it - and Turner Construction Company will be the builders laying that track. Each general-purpose technology acts as a catalyst, pulling forward both adjacent and future frontier innovations that would otherwise remain just visions on a distant horizon. Even if AI disappeared tomorrow, the knock-on remains. A net-zero, resilient grid. Energy cheap, abundant, carbon-free - for generations to come. Last year, inspired by Breakthrough Energy’s 2024 Summit in London, I wrote that ENERGY = PROSPERITY. Nuclear fusion technology, pulled forward to the present by AI, won’t just power data centers. It may power the next era of global prosperity. We can’t predict AI’s true legacy. But I can guarantee it isn’t chatbots and copilots. #AI #BuiltEnvironment #Fusion #NetZero https://lnkd.in/eki4Zd5P

Tokamak disruptions are a major challenge in the pursuit of nuclear fusion energy. These disruptions result in avalanches of runaway electrons with extremely high energies that can cause significant damage to the reactor components. Avoiding these dangerous situations requires understanding and predicting the behavior of the runaway electron cascades. The good news is that SCGSR awardee Jonathan Arnaud and collaborators developed a Physics-Informed Neural Network (PINN) to accurately model this complex phenomenon integrating atomic physics data and a steady-state power balance equation at a reasonable computational cost. The research team also included Dr. Xian-Zhu Tang from Los Alamos National Laboratory, and Prof. Christopher McDevitt from the University of Florida. Check out their insightful model at: https://lnkd.in/enBBdDBJ #SCGSR #PhD #DOE #FusionEnergy #Tokamak #AI #NeuralNetwork #DeepLearning

Can AI help us bottle the Sun? 🧪✨ To make nuclear fusion a reality, we have to master plasma — the volatile, superheated gas that powers the stars. Controlling plasma in a tokamak reactor has proven to be one of the most difficult engineering hurdles in physics. That's why IBM Research, the UK Atomic Energy Authority, and STFC Hartree Centre are taking a new approach — building the world’s first AI foundation model for fusion. The new model takes years of sensor data from the UKAEA’s tokamak reactor to create a complex representation of how plasma responds to the tokamak's settings. The team plans to add mathematical descriptions of plasma behavior into the model, with the goal of finding new ways to control and amplify fusion reactor performance. ✴ It really feels like science fiction is getting closer to becoming fact. Read more about this fascinating research in Kim Martineau’s great new piece:  https://lnkd.in/eD3usZ8T