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SMR Thermal Efficiency Patent Snapshot 2026

SMR Thermal Efficiency Patent Snapshot 2026
Evidence Snapshot
SMR Thermal Efficiency Patent Snapshot in 2026

The SMR thermal efficiency patent corpus is extremely nascent, comprising a single patent family filed by one applicant as of the evidence window. Activity is concentrated entirely in nuclear reactor and nuclear power plant classifications, with no discernible competitive field yet established.

1
Patent families in scope
N/A
Concentration not assessed
N/A
Growth trend not assessed
United States
Leading jurisdiction
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Published byPatsnap Insights Team··4 min readVerified by Patsnap Eureka data
Overview

A single-applicant field with complete concentration

BETABER ZILEVITCH MAOZ holds the sole patent family in this corpus, making it the top-ranked filer by default. The top five filers account for the entirety of the ranked applicants visible in this query’ combined total, reflecting a field that has not yet attracted multiple competing organizations.

There is no tier gap to observe in the conventional sense: the ranked applicant list contains only one entry. This level of concentration is characteristic of a technology area that has not yet crossed into broad commercial R&D investment.

Leading applicants
#ApplicantPatent familiesShare
1BETABER ZILEVITCH MAOZ1
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The lone applicant’s position implies there is no established incumbent blocking new entrants; organizations exploring SMR thermal efficiency improvements face a largely uncontested patent evidence snapshot at this stage.

The corpus reflects data up to the evidence snapshot date; publication lag of roughly 18–24 months means that applications filed recently may not yet be visible, and the true scope of emerging activity could be broader than one family.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

A single filing event in 2024 against a flat baseline

The annual filing trend and technology composition charts together reveal both the timing and the technical focus of the sole patent activity captured in this corpus.

Annual filing trend

Filing activity registered zero across 2017–2023, with the single patent family appearing in 2024. No activity appears in 2025–2026, though those years are subject to publication lag and should not be read as confirmation of continued inactivity.

Annual filing trendAnnual values from 2017 to 2026, peaking at 1 in 2024.02017020180201902020020210202202023120240202502026↗ Hover for values · click a bar to ask Eureka

Technology composition

The technology mix is dominated by G21C (Nuclear reactors), which accounts for the large majority of patent records in this corpus, with a smaller share in G21D (Nuclear power plants). Both classifications are closely related, indicating that the existing work addresses reactor-level thermal design rather than balance-of-plant or cross-sector applications.

Technology compositionG21C · Nuclear reactors leads with 3; G21D · Nuclear power plants 1.G21C · Nuclear reactors3G21D · Nuclear power pla…1↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20160329113A1Published 2016-11-10

SLIMM-Scalable Liquid Metal Cooled Small Modular R…

STC.UNM

The present invention provides a modular nuclear reactor system comprising a reactor pressure vessel having a lower section having a first wall and a second wall and an upper section having a first wall and a second wall. The reactor includes a chimney with an attached heat exchanger. First and second passageways create a circulation loop wherein heated… (excerpt from the patent abstract)

SLIMM-Scalable Liquid Metal Cooled Small Modular R… — patent drawingSLIMM-Scalable Liquid Metal Cooled Small Modular R… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1SLIMM-Scalable Liquid Metal Cooled Small Modular R…24
2Slimm-scalable liquid metal cooled small modular r…12

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Visible assignees

Assignee snapshot from the current evidence set

The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.

Leader · BETABER ZILEVITCH MAOZ

BETABER ZILEVITCH MAOZ

Holds 1 patent family in this corpus, making it the sole ranked applicant. Momentum is flagged as a new entrant, with the filing appearing in 2024. Technology focus spans G21C 11, G21C 3, and G21C 7 — all within the Nuclear reactors classification — suggesting work on specific reactor structural or control sub-systems relevant to thermal efficiency.

patent families: 1
Challenger · STC UNM

STC UNM

STC UNM (the technology commercialization arm of the University of New Mexico) does not appear in the ranked applicant list for this corpus but is present in the applicant technology data with focus across G21C 15, G21C 1, and G21C 3. Its specific family count within this corpus is not separately broken out in the evidence. Its academic-technology-transfer profile suggests an innovation pathway distinct from industrial incumbents.

evidence pending: family count
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More assignee evidence is available in Eureka
Use Eureka to validate whether these visible assignees remain central after refining the query scope and adding related patent classes.
BETABER ZILEVITCH MAOZSTC UNM+ more
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Source: Patsnap Eureka. Assignee evidence is drawn from the current PatSnap Eureka query. In small evidence sets, applicant counts should be treated as directional signals, not a complete competitive ranking.Explore players →
Frequently asked questions

Frequently asked questions

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Built on Patsnap Open Platform

This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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