Search arXiv⌕ Search

arXiv · 2504.02599

Technical Overview of Recent Developments in Small Modular Reactors in the United States

Abstract

Small modular reactors (SMRs) are a class of advanced nuclear fission reactors characterized by their compact core size (typically <300 MWe) and passive safety systems. Their modular design enables on-site assembly, making them suitable for deployment in locations inaccessible to conventional large-scale reactors. With rising global energy demand, particularly driven by the growth of AI, SMRs have recently gained attention as a potential solution for powering data centers. This technical review aims to provide the public and relevant stakeholders with a foundational understanding of SMR technology. It begins with an overview of SMR concepts, historical context, and their current role in the U.S. energy mix. Detailed technical summaries of nine selected SMR designs are then presented, covering core design, fuel systems, reactivity control, and safety features. The report also outlines key regulatory frameworks, including 10 CFR Part 50, Part 52, and the technology-inclusive, risk-informed, and performance-based framework currently under development. Finally, major U.S. programs and legislative efforts supporting SMR deployment over the past decade are summarized.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yifan Sun, Ken Kurosaki. 2025-04-03. Technical Overview of Recent Developments in Small Modular Reactors in the United States. https://arxiv.org/abs/2504.02599

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Unbeatable imitation of a friend

Imitation sometimes achieves success in multi-agent situations even though it is very simple. In repeated games, success of imitation has been characterized by unbeatability against other agents. Previous studies specified conditions under which imitation is unbeatable against co-players in repeated symmetric games, and clarified that the existence of unbeatable imitation is strongly related to the existence of payoff-controlling strategies, called zero-determinant strategies. However, these results were on the situations in which one repeated game is played by one group of players. It was pointed out that imitation of other players in the same group and imitation of other players in the same role in other groups generally result in different outcomes. Here, we investigate the existence condition of unbeatable imitation in the latter situations, described by two concurrent repeated games played by two different groups of players. We find that the existence condition of unbeatable imitation is stronger than the existence condition of unbeatable zero-determinant strategies, whereas both are very limited. Furthermore, we also find that adding exploration can make an imitation strategy unbeatable even in games where imitation without exploration can be beaten. Our findings suggest a strong relation between unbeatable imitation and payoff control even in the two concurrent repeated game situations.

physics.soc-ph↗

Social comparison shapes the evolution of cooperation in structured populations

Human cooperation unfolds in social environments where individuals influence each other through payoff-based learning and social comparison, the tendency to evaluate fitness relative to others. However, it is still unclear how social comparison and population structure jointly shape cooperation. Here, we incorporate social comparison theory into evolutionary dynamics on structured populations, letting fitness depend on individual and neighbour payoffs weighted by a comparison parameter. Under weak selection, we derive conditions favoring cooperation and find that the proposed comparison nonlinearly reshapes the critical benefit-to-cost ratio. Even one individual applying this protocol can affect the population, especially in heterogeneous networks. When comparison tendencies vary, the full distribution, not just the mean, determines evolutionary outcomes. Using a swarm-intelligence-based framework across typical and empirical networks, we identify cooperation-maximizing patterns: optimal states exhibit heterogeneous comparison tendencies, yet collectively align toward assimilative development. These results provide a basis for designing social incentives that harness comparison to promote collective cooperation in human groups.

physics.soc-ph↗

Majority voting is not good for heaven or hell, with mirrored performance

Majority voting can be worse than rejecting all proposals in an unfavorable stochastic environment and worse than accepting all proposals in a favorable one. We connect these effects in the ViSE (Voting in Stochastic Environment) model, where proposals specify random capital gains for the voters. If the voters' strategies and the social decision rule jointly interchange acceptance and rejection probabilities when gains and the environment are reversed, expected implemented gains satisfy a shift identity: each agent's expected gain under a gain generator with mean $μ>0$ exceeds that under the opposite generator by exactly $μ$. For families of gain distributions obtained by shifting a symmetric distribution, this implies mirrored performance relative to rejecting or accepting all proposals. Using uniformly distributed gains, we also prove a converse for a society of individualists voting for or against proposals according to their own gains: if a fixed vote-count rule is used, mirrored performance implies symmetry between acceptance and rejection. We further study gain-maximizing rules. A group-voting result shows exactly when an optimum must accept a lower vote total while rejecting a higher one. In this class, optimal decisions have a weighted-majority form: the group's common vote is weighted by its expected absolute internal vote margin rather than its size. For strategies that interchange support and opposition when all gains are reversed, optimal thresholds in opposite environments are mirror images, and, on symmetric families of gain distributions, an optimal vote-count rule can be chosen with mirrored performance as well.

physics.soc-ph↗