Electrocatalyst Discovery ML Patent Landscape 2026
The ML-driven electrocatalyst discovery space is still expanding on a multi-year basis, with recent-window filings running well ahead of the prior period, though annual volume eased from its 2023 peak. The field is overwhelmingly university-led, with Princeton University holding the top position and the United States accounting for the largest share of filing activity.
University-dominated field with Princeton at the apex
Princeton University leads all filers in this space, with the top five applicants collectively accounting for 36% of the hundred largest filers’ combined patent records — a notable but not extreme concentration for an emerging academic-driven field.
A clear tier gap separates the top two institutions from the broader pack. Princeton University and the University of Toronto together anchor the first tier; a second tier of four institutions each hold three patent records, and the remaining ranked applicants hold one or two records each.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | The Trustees of Princeton University | 7 | |
| 2 | The Governing Council of the University of Toronto | 5 | |
| 3 | Regents of the University of California | 5 | |
| 4 | The Hong Kong Polytechnic University | 3 | |
| 5 | UTI Limited Partnership | 3 | |
| 6 | Illinois Institute of Technology | 3 | |
| 7 | TEXAS A&M UNIVERSITY | 2 | |
| 8 | NATIONAL TECHNOLOGY & ENGINEERING SOLUTIONS OF SAN… | 2 | |
| 9 | California Institute of Technology | 2 | |
| 10 | University of Delaware | 2 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Massachusetts Institute of Technology | 2 | |
| 12 | The Trustees of Columbia University in the City of New York | 2 | |
| 13 | City University of Hong Kong | 2 | |
| 14 | COUNCIL OF SCI & IND RES | 2 | |
| 15 | Rutgers, The State University of New Jersey | 2 | |
| 16 | Nanjing Forestry University | 1 | |
| 17 | University of Southern California | 1 | |
| 18 | Regents of the University of Michigan | 1 | |
| 19 | TOYOTA MOTOR ENG & MFG NORTH AMERICA INC | 1 | |
| 20 | UNIV OF SCI & TECH BEIJING | 1 |
The leading positions held by research universities signal that this technology remains primarily in the exploratory and early-development phase, with limited corporate entrenchment — leaving meaningful room for industrial entrants to stake claims in adjacent application areas.
The most recent roughly 18–24 months are subject to publication lag and likely undercount actual filing activity; trend readings for 2024–2025 should be treated as provisional. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Growth-phase activity concentrated in electrolytic production and catalysis
Annual filing volume and the IPC class distribution together reveal a field that surged to a 2023 peak and retains strong multi-year momentum, with a dominant technical focus on electrolytic compound production and an emerging layer of computational and AI-related classes.
Annual filing trend
Filings were negligible before 2018, rose through 2019, dipped in 2020–2021, then rebounded sharply to a 2023 peak before easing in 2024. The 2025 figure, while substantial, is an undercount due to publication lag and should not be read as a contraction.
↗ Hover for values · click a bar to ask EurekaTechnology composition
C25B (electrolytic production of compounds) is the commanding class, reflecting the field’s core focus on ML-guided electrode and catalyst design for electrochemical processes. B01J (chemical/physical processes and catalysis) is a secondary cluster; G16C (computational chemistry) and G06N (AI-based computing) appear at lower shares, marking the computational layer of the field.
↗ Hover for values · click a bar to ask EurekaHighly 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.
Spin-polarized electrocatalytic reduction reaction…
A method of producing ethanol by electrocatalytic reduction of carbon dioxide, comprises reducing carbon dioxide in an aqueous electrolyte on an electrocatalyst with electricity. The electrocatalyst is exposed to a magnetic field of at least 400 Gauss, the electrocatalyst comprises at least one paramagnetic material, and an amount of ethanol produced by the… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Carbon Nanostructure-Based Electrocatalytic Electr… | 32 |
| 2 | Nickel Phosphide Catalysts for Direct Electrochemi… | 26 |
| 3 | Electrocatalyst for hydrogen evolution and oxidati… | 9 |
| 4 | Self-improving electrocatalysts for gas evolution … | 7 |
| 5 | Electrocatalytic conversion of nitrates and nitrit… | 6 |
| 6 | Boron-doped copper catalysts for efficient convers… | 6 |
| 7 | 一种金属有机骨架材料电催化性能描述符的方法 | 6 |
| 8 | 数据驱动的低维能源材料高通量筛选方法、装置和存储介质 | 5 |
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.
What the competitive structure means for R&D investment
The combination of a growth-phase lifecycle, university leadership, an active collaboration network, and US jurisdictional dominance has specific implications for teams evaluating where to invest in ML-electrocatalyst IP.
Growth phase, easing from 2023 peak
The field carries a Growth lifecycle designation: the recent three-year filing window sits well above the prior three-year window, consistent with a 69% uplift. Annual volume peaked in 2023 and has eased since, but the multi-year trajectory remains positive. Publication lag means the true scale of 2024–2025 activity will not be visible for some time.
Growth · post-2023 peakModerate concentration, open to new entrants
The top five filers hold 36% of the hundred largest filers’ combined records — moderate concentration that leaves the field genuinely open. No single corporate incumbent commands a dominant block of IP, and the preponderance of university assignees means commercial exploitation pathways remain largely unclaimed. Industrial teams can still establish meaningful positions.
Top-5 share: 36%TotalEnergies–Toronto partnership is the most active co-filing pair
The most active co-filing relationship links TotalEnergies with the University of Toronto, accounting for five joint patent records — the only industry–academia pairing in the collaboration data and a signal of where industrial capital is flowing in this space. The Regents of the University of California and Sandia National Laboratories have filed two records jointly, as have MIT and Caltech, both reflecting national-lab and elite-university linkages.
Industry–academia bridgeUS-centric, with PCT and EPO bridging global reach
The United States accounts for the largest number of patent records among all jurisdictions, underscoring that US academic institutions and their technology-transfer offices are the primary IP generators. PCT filings provide a second, globally extendable layer, and European Patent Office records indicate some applicants are pursuing broad trans-Atlantic protection. China and Canada have a smaller but non-trivial presence.
US lead · PCT bridgeGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| TotalEnergies | University of Toronto | 5 |
| Regents of the University of California | Sandia National Laboratories | 2 |
| Massachusetts Institute of Technology | California Institute of Technology | 2 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Princeton leads; University of California is the fastest-rising new entrant
The top two ranked filers are both research universities with a near-exclusive focus on the C25B electrolytic production class; TotalEnergies is the only corporate entity in the top collaboration tier, operating through its Toronto partnership.
Princeton University
Princeton University holds the top position with 7 patent records, all concentrated in C25B subclasses covering electrolytic production of compounds — specifically C25B 11 and C25B 3 for electrode and electrolytic cell design. This depth in a single technical cluster indicates a deliberate, programme-level research focus rather than exploratory breadth. Momentum data for Princeton is not separately broken out in the recent-entrant list, suggesting its position was established in earlier filing windows.
7 patent recordsUniversity of California
The University of California system entered the rankings as a new entrant in the recent window, accumulating 4 recent patent records across C25B 11, C25B 9, and C25B 1 — a broader spread within the electrolytic production class than Princeton’s profile, suggesting multi-group activity across the UC system. As a new entrant from a large base institution, its trajectory warrants close monitoring.
5 patent records · new entrant| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Regents of the University of California | 4 | ▲ new entrant |
| The Hong Kong Polytechnic University | 3 | ▲ new entrant |
| UTI Limited Partnership | 3 | ▲ new entrant |
| Massachusetts Institute of Technology | 2 | ▲ new entrant |
| City University of Hong Kong | 2 | ▲ new entrant |
Under-served branches adjacent to the ML-electrocatalyst core
Several IPC classes appear at low share relative to the dominant C25B cluster, representing areas where ML-guided discovery methods have been applied only sparsely; these are observations of relative sparsity, not validated opportunities, but two carry plausible technical value for teams considering adjacencies.
G16C · Computational chemistry
G16C covers computational approaches to chemistry — the most natural home for ML-based descriptor development, high-throughput virtual screening, and generative models for catalyst design. Its low current share relative to the electrochemistry classes suggests that applicants are patenting the discovered materials rather than the computational workflows themselves. A team that focuses claims on the ML pipeline and descriptor methodology rather than the resulting catalyst could build a differentiated position with relatively low crowding.
Search this in Eureka →H01M · Batteries, cells and fuel cells
H01M links electrocatalysis directly to electrochemical energy storage and conversion devices — fuel cell cathodes, metal–air battery electrodes, and water-splitting cells. With only 7 patent records in this branch, the overlap between ML-discovered catalysts and device-level integration claims is sparse. Applicants with both catalyst synthesis know-how and cell-engineering capability could pursue integrated claims that bridge the discovery and deployment layers, an entry path that pure-research universities are less positioned to exploit.
Search this in Eureka →How leading institutions differ by technical subclass emphasis
Route coverage across the main technology branches in the current evidence set.
| Player | C25B 11 · Electrolytic production of compounds | C25B 3 · Electrolytic production of compounds | C25B 9 · Electrolytic production of compounds | C25B 1 · Electrolytic production of compounds | B01J 23 · Chemical/physical processes & catalysis |
|---|---|---|---|---|---|
| Regents of the University of California | Strong · 6 | Moderate · 3 | Strong · 5 | Moderate · 3 | Emerging · 1 |
| University of Toronto | Strong · 5 | Strong · 5 | Strong · 4 | Absent | Moderate · 2 |
| Princeton University | Strong · 7 | Strong · 6 | Absent | Absent | Absent |
| The Hong Kong Polytechnic University | Strong · 3 | Strong · 3 | Strong · 3 | Absent | Absent |
| UTI Limited Partnership | Strong · 3 | Absent | Strong · 2 | Strong · 3 | Absent |
| Illinois Institute of Technology | Strong · 3 | Absent | Absent | Strong · 3 | Absent |
Frequently asked questions
The corpus contains 52 patent families in scope globally, making this a nascent but actively growing field. The relatively small corpus size means individual filings carry above-average signal value for competitive intelligence.
Princeton University leads with 7 patent records, followed by the University of Toronto and the University of California system, each with 5 patent records.
The field is classified as Growth-stage. Recent three-year filings are substantially ahead of the prior three-year window, consistent with a 69% uplift. Annual volume peaked in 2023 and has since eased, but the multi-year trend remains positive. Recent years are also understated by publication lag.
The United States accounts for the most patent records among all jurisdictions, reflecting the dominance of US research universities in this field. WIPO PCT filings represent the second-largest channel, providing applicants with broad international coverage options.
The field is overwhelmingly university-driven. The only clear industrial presence in the collaboration data is TotalEnergies, which has co-filed with the University of Toronto. Toyota Motor Engineering and Manufacturing North America holds one patent record, and Sandia National Laboratories has two joint records with the University of California, but no corporate entity holds a large standalone position.
G16C (computational chemistry) and H01M (batteries and fuel cells) are the two sparse branches with the clearest technical adjacency to the ML-electrocatalyst core. G16C is sparsely covered relative to the C25B electrochemistry cluster, and H01M’s low record count suggests that device-level integration of ML-discovered catalysts is an under-patented area.
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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.
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