Experience rates quantify how much the cost of a technology decreases each time its cumulative production doubles. Traditionally, ER estimations have relied on extensive historical cost data, accessible for mature technologies like solar panels, wind turbines, and lithium-ion batteries. Fusion energy, being nascent, lacks this extensive cost history, posing a significant barrier to applying conventional ER methodologies. To bridge this gap, the research team introduced an innovative framework by empirically linking the technological characteristics of fusion power plants with ERs observed in analogous energy technologies. This approach allowed them to estimate realistic ER ranges for fusion energy, despite its early developmental stage.

To robustly anchor their projections, the authors conducted 28 semi-structured interviews with eminent experts in both magnetic confinement fusion (MCF) and laser-based inertial confinement fusion (LFE). These industry veterans, spanning public research institutions and private fusion ventures, provided nuanced insights into the inherent complexity and customization needs of FPP designs. The interviews were meticulously structured to minimize bias, utilizing well-defined reference technologies for comparison—solar panels and conventional nuclear fission plants were rated as benchmarks of simplicity and complexity, respectively. This methodological rigor ensured consistent and reliable expert assessments across the board.

The study’s unique survey design included askings experts to rate FPPs on a scale from 1 to 7 regarding design complexity and customization necessity. Solar panels, characterized by relative standardization and simplicity, were set to a score of 2, whereas nuclear fission plants, known for their complex, heavily customized nature, registered a 6. Against this backdrop, fusion plants demonstrated characteristics closer to the higher end of complexity and customization, foreshadowing potentially slower cost descent trajectories. The researchers also explored unit size implications, a factor often intertwined with the technology’s modularity and scalability, which influences learning effects and economies of scale.

The interview transcripts underwent rigorous qualitative coding to extract relevant arguments about the technological traits impacting fusion power’s cost dynamics. These qualitative insights were then integrated with quantitative formulas used to model the evolution of capital expenditure (CAPEX) as a function of cumulative deployment. By applying a generalized cost-learning equation, the team derived experience curves explicitly tailored to fusion energy, positioning them alongside empirically-validated curves for onshore wind, photovoltaic modules, lithium-ion batteries, and nuclear fission.

The familiar learning curve formula they used expresses CAPEX at time t as the initial CAPEX multiplied by the ratio of cumulative deployment at t over initial deployment, raised to the power of the logarithm base 2 of one minus the ER. This formulation elegantly captures the intuitive notion that costs tend to fall more sharply with each doubling of total installed capacity, but the exact slope—i.e., the ER—is technology-dependent and shaped by intrinsic factors such as design complexity and market maturity.

In stark contrast to the rapid historical cost declines witnessed in solar PV—whose ERs often exceed 20%—fusion experience rates, as concluded in this study, likely hover near or below 5%. This suggests that fusion power plants might follow a very gradual learning trajectory, implying that economically competitive commercial fusion may take longer to materialize than some previous models suggested. The findings align fusion energy’s cost evolution more closely with that of nuclear fission, a domain historically plagued by cost overruns and modest economies of scale gains.

The authors further contextualized their findings by leveraging comprehensive databases of historical costs and deployments for other energy technologies. They fitted experience curves for onshore wind, solar PV, and lithium-ion batteries, utilizing published starting costs, cumulative deployment figures, and ER values from authoritative sources, ensuring their fusion projections were anchored in well-understood precedents. For nuclear fission, they applied a log-log linear regression to overnight construction costs as a function of cumulative capacity, further validating the similarity in experience dynamics between fusion and fission plants.

Crucially, all financial figures were inflation-adjusted to 2024 US dollars, maintaining consistency and comparability across diverse datasets. This meticulous approach underscores the study’s commitment to robust, real-world relevance. Its findings invite recalibrated expectations among policymakers, investors, and stakeholders counting on fusion power to drive rapid decarbonization.

The implications of this reassessment extend beyond fusion. They underscore the significance of incorporating detailed technological characteristics into ER estimation frameworks, particularly for emergent technologies lacking extensive cost histories. By doing so, analysts can avoid undue optimism or pessimism, making more reliable projections that guide research funding, industrial strategy, and market development more effectively.

The study builds on and extends prior research linking granular technology traits to learning rates. Through a marriage of qualitative expert elicitation and quantitative modeling, it ushers in a nuanced lens on fusion’s challenging innovation pathway. While the promise of fusion remains undiminished, this research importantly tempers expectations with sober assessments of the inherent complexities and customization demands that may slow down cost reductions.

Moreover, the research illuminates the intricate interplay between technology design complexity, need for customization, and unit size—variables that profoundly influence how quickly a technology can achieve economies of learning. For fusion power, whose systems are bespoke and multifaceted by necessity, these factors collectively shape a less steep cost-learning curve. The insights might encourage fusion developers to strategically pursue modularity and standardization to accelerate cost declines.

Experts participating in the study emphasized that fusion’s relative immaturity and unique engineering challenges differ markedly from renewables, whose components can be mass-produced with well-understood processes. The bespoke nature of fusion reactors—requiring customized magnetic or laser confinement systems, high-grade materials, and precision control mechanisms—pose formidable challenges to realizing rapid experience-driven cost reductions seen in simpler, standardized technologies.

Conducted between August 2024 and March 2025, the interviews provided a temporal snapshot of contemporary expert sentiment across diverse fusion research and industrial landscapes. This temporal grounding enhances the study’s relevance, capturing the evolving fusion innovation ecosystem as it edges closer to pilot demonstrations and potential commercialization.

Overall, this pioneering research invites a recalibration of fusion power’s projected cost trajectory by anchoring ER estimations to concrete technological realities rather than hopeful historical analogies. While commercial fusion remains a pivotal goal for a sustainable energy future, stakeholders must reckon with a learning curve that may unfold more slowly, demanding sustained long-term support and pragmatic planning strategies.

Such sober, empirically grounded assessments are vital for aligning expectations, optimizing resource allocation, and charting practical pathways to a decarbonized energy system where fusion plays a meaningful, albeit gradually unfolding, role. The study’s mixed-method approach, blending expert qualitative wisdom with rigorous quantitative experience curve modeling, sets a robust precedent for evaluating other emerging energy technologies lacking mature commercial track records.

By illuminating the nuanced technological determinants underpinning fusion’s economic evolution, this research moves the discourse beyond simplistic cost extrapolations. It calls for an informed appreciation of fusion power’s engineering intricacies and market challenges, signaling that the road to affordable fusion may be longer and more complex than previously envisaged, but no less essential for humanity’s energy future.

Article References:
Tang, L., Noll, B., Panda, A. et al. Fusion power experience rates are overestimated. Nat Energy (2026). https://doi.org/10.1038/s41560-026-02023-8

DOI: https://doi.org/10.1038/s41560-026-02023-8

Image Credits: AI Generated

The convergence of scientific disciplines and industry expertise is critical in accelerating the development of fusion energy. One key team within this framework is the Target Injector Nexus for Experimental Development (TINEX) Collaborative, which is being led by General Atomics. Notable partners include major research entities like Lawrence Livermore National Laboratory, Stanford University, and the University of California, San Diego. This consortium will focus on addressing technological challenges that impede the commercialization of inertial fusion energy (IFE) systems. With Neil Alexander from General Atomics at the helm as director, SLAC’s Arianna Gleason will serve as deputy director, bringing her extensive experience in high-energy density science to the table.

Inertial fusion energy harnesses the elemental forces that power the stars, aiming to replicate these atmospheric conditions within reactors on Earth. In IFE processes, high-powered lasers are directed toward small, gas-filled targets, producing remarkable fusion reactions that release immense amounts of energy. This energy can be harnessed to generate electricity, offering a green alternative to fossil fuels that could significantly reduce or eliminate carbon emissions from power generation, while providing a stable energy supply for the future.

One of TINEX’s central focuses is the development of advanced fusion fuel targets. The research team aims to identify and tackle potential operational challenges that could arise if such technologies are implemented in a full-scale power plant. Among these challenges are the management of resulting debris within the confinement chamber and minimizing damage caused by fragments from the target capsules. Furthermore, enhancing the resilience of these capsules to extreme temperatures and designing precision tracking sensors for laser targeting of rapidly moving targets are core research priorities.

SLAC’s involvement signifies a major leap in expertise understanding how to effectively use high-energy density science and laser technology in overcoming these challenges. According to Siegfried Glenzer, director of SLAC’s High Energy Density Science Division, this collaboration marks a pivotal moment in unlocking the pathways toward achieving sustainable, commercialized fusion energy. Glenzer highlights the importance of precise measurement and tracking technology, stating that SLAC researchers will focus on developing innovative systems capable of accurately determining the position of targets in real time, which is essential for achieving the desired fusion reactions.

The financial backing received will exceed $1 million yearly, signifying robust governmental support for a field critical to future energy sustainability. This funding will empower SLAC to further refine target tracking technology, enabling significant advancements in the efficiency and success of fusion experiments. As targets are injected into the confinement chamber, the ability to determine their exact locations instantaneously will allow for precise hits by high-powered lasers, a fundamental requirement for sustaining fusion reactions.

Collaboration with an industrial council, comprising leading companies in the inertial fusion power plant sector, will ensure that the TINEX project aligns with industry needs and challenges. This partnership is vital in providing concrete feedback, allowing the collaborative teams to develop solutions that are not only innovative but also pragmatically applicable, bridging the gap between theoretical research and real-world applications.

Both Arianna Gleason and her collaborators acknowledge the significance of shared knowledge through TINEX initiatives, which will directly benefit industrial and academic institutions alike. By addressing risks associated with key technologies and enhancing the fusion workforce, these collective efforts are pivotal steps toward realizing the dream of harnessing fusion energy on a grid-scale—effectively paving the way for a new energy era.

The results of this collaboration are anticipated to yield lessons that extend beyond the immediate goals of developing fusion technologies. As insights gleaned from the TINEX partnership are disseminated, they will inform broader strategies for energy sustainability and innovation across various disciplines. In essence, the endeavor transcends the fusion energy landscape, suggesting a broader potential for scientific inquiry to drive substantial socio-economic benefits.

In summary, the efforts being spearheaded at SLAC within the framework of the DOE’s FIRE Collaboratives signal an era of profound change in energy production and utilization. This ground-breaking research could redefine how we perceive energy sustainability and the role fusion plays in achieving a cleaner environment. Renewed investment in fusion energy provides hope for a future where clean energy is abundant, reliable, and capable of sustaining our growing technological demands and environmental responsibilities.

Impacts of this research could ultimately lead not only to a better understanding of fundamental physics but also to significant breakthroughs in energy systems that power our world in an ecologically friendly manner. As the TINEX Collaborative embarks on this critical journey, it stands on the cusp of establishing a future where fusion energy is no longer the stuff of dreams but a pivotal reality in the global energy landscape.

Furthermore, as SLAC and its partners pursue a successful pathway to fusion energy, the accumulated knowledge and technologies will undoubtedly ripple out to influence other fields, potentially offering solutions to challenges across the scientific spectrum, be it in energy policy, climate change, or technological innovation. The next few years will be crucial in determining how effectively these objectives are achieved and how swiftly the scientific community can translate these breakthroughs into actionable, scalable energy solutions.

In conclusion, the fusion energy revolution appears closer than ever as collaborative entities harness expertise from diverse sectors, addressing both scientific and engineering challenges simultaneously. Through strategic partnerships and government support, the path is being paved for a sustainable energy future powered by the very forces that illuminate the universe. The goals set forth by the DOE, SLAC, and TINEX are not merely scientific pursuits; they represent a hopeful trajectory toward a world powered by clean, reliable, and sustainable energy sources that benefit humanity at large.

Subject of Research: Advanced Target Tracking Technology for Fusion Energy
Article Title: SLAC’s Ambitious Venture into Fusion Energy Innovation
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Image Credits: Greg Stewart/SLAC National Accelerator Laboratory

Keywords

Fusion energy, inertial fusion energy, SLAC National Accelerator Laboratory, laser technology, energy sustainability, Department of Energy, TINEX Collaborative, high energy density science