ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
An Efficient Biological Codon Recognition Reservoir Computing System Based on Low-Energy Epitaxial Hf
Ying Liu, Jikang Xu, Yongqing Jia, Wenxuan Wang, Weifeng Zhang, Biao Yang, Xiaobing Yan
Abstract read
In one paragraphArticle in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
7 authors.
Ying LiuKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.
Jikang XuKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.ORCID https://orcid.org/0009-0000-8073-0799 Yongqing JiaKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.
Wenxuan WangKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.
Weifeng ZhangKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.
Biao YangKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.
Xiaobing YanKey Laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information Engineering, Hebei University, Baoding, People's Republic of China.ORCID https://orcid.org/0000-0002-3266-515X Funding
Advanced Talents Incubation Program of Hebei University 521000981363Advanced Talents Incubation Program of Hebei University 521000981426Advanced Talents Incubation Program of Hebei University 521100221071Advanced Talents Incubation Program of Hebei University 521100224232Baoding Science and Technology Plan Project 2172P011Baoding Science and Technology Plan Project 2272P014Hebei Province High-Level Talent Funding B20231003Hebei Province Key R&D Plan Projects 22311101DHebei Province Natural Science Foundation F2023201044Hebei Province Yanzhao Young Scientist Project F2023201076Institute of Life Sciences and Green Development 521100311Interdisciplinary Research Program of Natural Science of Hebei University DXK202101National Key R&D Plan "Nano Frontier" Key Special Project 2021YFA1200502National Key R&D Plan "Nano Frontier" Key Special Project 2024YFA1208400National Key R&D Program Disruptive Technology Innovation Project 2024YFF150430National Key R&D Program Disruptive Technology Innovation Project 2024YFF1504300National Major R&D Project Cultivation 92164109National Natural Science Foundation of China 61874158National Natural Science Foundation of China 62004056National Natural Science Foundation of China 62104058Natural Science Foundation of Hebei Province F2021201022Natural Science Foundation of Hebei Province F2021201045Natural Science Foundation of Hebei Province F2022201054Natural Science Foundation of Hebei Province F2023201044Outstanding Young Scientific Research and Innovation Team of Hebei University 605020521001Regional Innovation and Development Joint Fund Key Project U23A20365Science and Technology Project of Hebei Education Department QN2020178Science and Technology Project of Hebei Education Department QN2021026Special Support Funds for National High-Level Talents 041500120001Strategic Leading Science and Technology Special Project of Chinese Academy of Sciences XDB44000000-7Support Program for the Top Young Talents of Hebei Province 70280011807
6 · The paper itselfAbstract
The large demand for information processing has stimulated interest in low-power and fast-storage hafnium-based ferroelectric memristors because of their ability to precisely control the state of the resistor by polarization flip-flop without the need for electroforming. However, there is still a lack of hafnium-based ferroelectric memristor with both high stability and ultra-low operating energy consumption, which are the basic conditions for efficient neural network computation with high recognition rates. This article introduces a high-quality epitaxially grown Pd/Hf
Indexed as
biological codon recognition reservoir computing systemepitaxial ferroelectric memristorshigh endurancelow energymultilevel storage
Identifiers
PMID42713637
PMCPMC13555366
What OpenQuestion holds
Textmetadata
Read underepoch 390