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Article ; Online: Exploiting Photoelectric Activities and Piezoelectric Properties of NaNbO

Yu, Zhichao / Gong, Hexiang / Xu, Jianhui / Li, Yuxuan / Zeng, Yongyi / Liu, Xiaolong / Tang, Dianping

2022 Volume 94, Issue 7, Page(s) 3418–3426

Abstract: Point-of-care testing (POCT) technology has made major breakthroughs in community medicine and physician office situations, in tandem with the more ubiquitous and intensive usage of highly integrated quick detection equipment for illness diagnosis, ... ...

Abstract	Point-of-care testing (POCT) technology has made major breakthroughs in community medicine and physician office situations, in tandem with the more ubiquitous and intensive usage of highly integrated quick detection equipment for illness diagnosis, personal care, and mobile healthcare. Although the photoelectrochemical (PEC)-based POCT platform offers the benefits of cheap cost and good user engagement, its commercialization is still limited by the photodetection components' downsizing and mobility, among other factors. In this work, a novel highly integrated PEC biosensor aided by piezophototronics to enhance the efficiency of PEC testing was reported for flexible detection of cancer-associated antigens in biological fluids (prostate-specific antigen, PSA, used as an example). Multiple signal enhancement strategies, including a magnetic bead-linked enzyme-linked immune system catalyzing the production of ascorbic acid from the substrate and a piezoelectric-assisted enhancement strategy, were used for sensitive detection of the analyte to be tested in human body fluids. Unlike the electron transfer mechanism in heterojunctions, piezoelectric semiconductors promote the transfer of electrons and holes by generating piezoelectric potentials in the ultrasonic field, thus contributing to the performance of the PEC testbed. Under optimized conditions, the test platform achieves good correspondence for PSA at 0.02-40 ng mL
MeSH term(s)	Biosensing Techniques ; Electrochemical Techniques ; Humans ; Immunoassay ; Limit of Detection ; Male ; Point-of-Care Systems ; Semiconductors
Language	English
Publishing date	2022-02-11
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1508-8
ISSN	1520-6882 ; 0003-2700
ISSN (online)	1520-6882
ISSN	0003-2700
DOI	10.1021/acs.analchem.2c00066
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Article: Exploiting Photoelectric Activities and Piezoelectric Properties of NaNbO₃ Semiconductors for Point-of-Care Immunoassay

Yu, Zhichao / Gong, Hexiang / Xu, Jianhui / Li, Yuxuan / Zeng, Yongyi / Liu, Xiaolong / Tang, Dianping

Analytical chemistry. 2022 Feb. 11, v. 94, no. 7

2022

Abstract	Point-of-care testing (POCT) technology has made major breakthroughs in community medicine and physician office situations, in tandem with the more ubiquitous and intensive usage of highly integrated quick detection equipment for illness diagnosis, personal care, and mobile healthcare. Although the photoelectrochemical (PEC)-based POCT platform offers the benefits of cheap cost and good user engagement, its commercialization is still limited by the photodetection components’ downsizing and mobility, among other factors. In this work, a novel highly integrated PEC biosensor aided by piezophototronics to enhance the efficiency of PEC testing was reported for flexible detection of cancer-associated antigens in biological fluids (prostate-specific antigen, PSA, used as an example). Multiple signal enhancement strategies, including a magnetic bead-linked enzyme-linked immune system catalyzing the production of ascorbic acid from the substrate and a piezoelectric-assisted enhancement strategy, were used for sensitive detection of the analyte to be tested in human body fluids. Unlike the electron transfer mechanism in heterojunctions, piezoelectric semiconductors promote the transfer of electrons and holes by generating piezoelectric potentials in the ultrasonic field, thus contributing to the performance of the PEC testbed. Under optimized conditions, the test platform achieves good correspondence for PSA at 0.02–40 ng mL–¹. Impressively, the test devices are comparable to or even superior to gold standard ELISA kits in terms of cost approval and batch testing. This research demonstrates the potential of piezoelectric semiconductors for POC applications in revolutionary PECs and offers innovative thoughts for the development of new PEC bioanalytical components.
Keywords	analytical chemistry ; ascorbic acid ; biosensors ; commercialization ; electron transfer ; humans ; immune system ; magnetism ; medicine ; prostate-specific antigen ; ultrasonics
Language	English
Dates of publication	2022-0211
Size	p. 3418-3426.
Publishing place	American Chemical Society
Document type	Article
ZDB-ID	1508-8
ISSN	1520-6882 ; 0003-2700
ISSN (online)	1520-6882
ISSN	0003-2700
DOI	10.1021/acs.analchem.2c00066
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Analog Resistive Switching Devices for Training Deep Neural Networks with the Novel Tiki-Taka Algorithm.

Stecconi, Tommaso / Bragaglia, Valeria / Rasch, Malte J / Carta, Fabio / Horst, Folkert / Falcone, Donato F / Ten Kate, Sofieke C / Gong, Nanbo / Ando, Takashi / Olziersky, Antonis / Offrein, Bert

Nano letters

2024 Volume 24, Issue 3, Page(s) 866–872

Abstract: A critical bottleneck for the training of large neural networks (NNs) is communication with off-chip memory. A promising mitigation effort consists of integrating crossbar arrays of analogue memories in the Back-End-Of-Line, to store the NN parameters ... ...

Abstract	A critical bottleneck for the training of large neural networks (NNs) is communication with off-chip memory. A promising mitigation effort consists of integrating crossbar arrays of analogue memories in the Back-End-Of-Line, to store the NN parameters and efficiently perform the required synaptic operations. The "
Language	English
Publishing date	2024-01-11
Publishing country	United States
Document type	Journal Article
ISSN	1530-6992
ISSN (online)	1530-6992
DOI	10.1021/acs.nanolett.3c03697
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Article ; Online: Material to system-level benchmarking of CMOS-integrated RRAM with ultra-fast switching for low power on-chip learning.

Abedin, Minhaz / Gong, Nanbo / Beckmann, Karsten / Liehr, Maximilian / Saraf, Iqbal / Van der Straten, Oscar / Ando, Takashi / Cady, Nathaniel

Scientific reports

2023 Volume 13, Issue 1, Page(s) 14963

Abstract: Analog hardware-based training provides a promising solution to developing state-of-the-art power-hungry artificial intelligence models. Non-volatile memory hardware such as resistive random access memory (RRAM) has the potential to provide a low power ... ...

Abstract	Analog hardware-based training provides a promising solution to developing state-of-the-art power-hungry artificial intelligence models. Non-volatile memory hardware such as resistive random access memory (RRAM) has the potential to provide a low power alternative. The training accuracy of analog hardware depends on RRAM switching properties including the number of discrete conductance states and conductance variability. Furthermore, the overall power consumption of the system inversely correlates with the RRAM devices conductance. To study material dependence of these properties, TaOx and HfOx RRAM devices in one-transistor one-RRAM configuration (1T1R) were fabricated using a custom 65 nm CMOS fabrication process. Analog switching performance was studied with a range of initial forming compliance current (200-500 µA) and analog switching tests with ultra-short pulse width (300 ps) was carried out. We report that by utilizing low current during electroforming and high compliance current during analog switching, a large number of RRAM conductance states can be achieved while maintaining low conductance state. While both TaOx and HfOx could be switched to more than 20 distinct states, TaOx devices exhibited 10× lower conductance, which reduces total power consumption for array-level operations. Furthermore, we adopted an analog, fully in-memory training algorithm for system-level training accuracy benchmarking and showed that implementing TaOx 1T1R cells could yield an accuracy of up to 96.4% compared to 97% for the floating-point arithmetic baseline, while implementing HfOx devices would yield a maximum accuracy of 90.5%. Our experimental work and benchmarking approach paves the path for future materials engineering in analog-AI hardware for a low-power environment training.
Language	English
Publishing date	2023-09-11
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-42214-x
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Article ; Online: Causes of ferroelectricity in HfO

Dogan, Mehmet / Gong, Nanbo / Ma, Tso-Ping / Ismail-Beigi, Sohrab

Physical chemistry chemical physics : PCCP

2019 Volume 21, Issue 23, Page(s) 12150–12162

Abstract: We present a comprehensive first principles study of doped hafnia in order to understand the formation of ferroelectric orthorhombic[001] grains. Assuming that tetragonal grains are present during the early stages of growth, matching plane analysis shows ...

Abstract	We present a comprehensive first principles study of doped hafnia in order to understand the formation of ferroelectric orthorhombic[001] grains. Assuming that tetragonal grains are present during the early stages of growth, matching plane analysis shows that tetragonal[100] grains can transform into orthorhombic[001] during thermal annealing when they are laterally confined by other grains. We show that among 0%, 2% and 4% Si doping, 4% doping provides the best conditions for the tetragonal[100] → orthorhombic[001] transformation. This also holds for Al doping. We also show that for Hf
Language	English
Publishing date	2019-05-30
Publishing country	England
Document type	Journal Article
ZDB-ID	1476244-4
ISSN	1463-9084 ; 1463-9076
ISSN (online)	1463-9084
ISSN	1463-9076
DOI	10.1039/c9cp01880h
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Book ; Online: Causes of ferroelectricity in HfO$_{2}$-based thin films

Dogan, Mehmet / Gong, Nanbo / Ma, Tso-Ping / Ismail-Beigi, Sohrab

An $\textit{ab initio}$ perspective

2019

Abstract: We present a comprehensive first principles study of doped hafnia in order to understand the formation of the ferroelectric orthorhombic [001] grains. Assuming that tetragonal grains are present during the early stages of growth, matching plane analysis ... ...

Abstract	We present a comprehensive first principles study of doped hafnia in order to understand the formation of the ferroelectric orthorhombic [001] grains. Assuming that tetragonal grains are present during the early stages of growth, matching plane analysis shows that tetragonal [100] grains can transform into orthorhombic [001] during thermal annealing, when they are laterally confined by other grains. We show that among 0%, 2% and %4 Si doping, 4% doping provides the best conditions for the tetragonal [100] to orthorhombic [001] transformation. This also holds for Al doping. We also show that for Hf$_{x}$Zr$_{1-x}$O$_{2}$, where we have studied ${x}=1.00,0.75,0.50,0.25,0.00$, the value ${x}=0.50$ provides the most favorable conditions for the desired transformation. In order for this transformation to be preferred over the tetragonal [100] to monoclinic [100] transformation, out-of-plane confinement also needs to be present, as supplied by a top electrode. Our findings illuminate the mechanism that causes ferroelectricity in hafnia-based films and provide an explanation for common experimental observations for the optimal ranges of doping in Si:HfO$_{2}$, Al:HfO$_{2}$ and Hf$_{x}$Zr$_{1-x}$O$_{2}$. We also present model thin film heterostructure computations of Ir/HfO$_{2}$/Ir stacks in order to isolate the interface effects, which we show to be significant.
Keywords	Condensed Matter - Materials Science
Subject code	669
Publishing date	2019-04-02
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Roadmap on emerging hardware and technology for machine learning.

Berggren, Karl / Xia, Qiangfei / Likharev, Konstantin K / Strukov, Dmitri B / Jiang, Hao / Mikolajick, Thomas / Querlioz, Damien / Salinga, Martin / Erickson, John R / Pi, Shuang / Xiong, Feng / Lin, Peng / Li, Can / Chen, Yu / Xiong, Shisheng / Hoskins, Brian D / Daniels, Matthew W / Madhavan, Advait / Liddle, James A /

McClelland, Jabez J / Yang, Yuchao / Rupp, Jennifer / Nonnenmann, Stephen S / Cheng, Kwang-Ting / Gong, Nanbo / Lastras-Montaño, Miguel Angel / Talin, A Alec / Salleo, Alberto / Shastri, Bhavin J / de Lima, Thomas Ferreira / Prucnal, Paul / Tait, Alexander N / Shen, Yichen / Meng, Huaiyu / Roques-Carmes, Charles / Cheng, Zengguang / Bhaskaran, Harish / Jariwala, Deep / Wang, Han / Shainline, Jeffrey M / Segall, Kenneth / Yang, J Joshua / Roy, Kaushik / Datta, Suman / Raychowdhury, Arijit

Nanotechnology

2020 Volume 32, Issue 1, Page(s) 12002

Abstract: Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a ...

Abstract	Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a computing system that sets the fundamental limit of the capability of machine learning. Data-centric computing requires a revolution in hardware systems, since traditional digital computers based on transistors and the von Neumann architecture were not purposely designed for neuromorphic computing. A hardware platform based on emerging devices and new architecture is the hope for future computing with dramatically improved throughput and energy efficiency. Building such a system, nevertheless, faces a number of challenges, ranging from materials selection, device optimization, circuit fabrication and system integration, to name a few. The aim of this Roadmap is to present a snapshot of emerging hardware technologies that are potentially beneficial for machine learning, providing the Nanotechnology readers with a perspective of challenges and opportunities in this burgeoning field.
Language	English
Publishing date	2020-12-04
Publishing country	England
Document type	Journal Article
ZDB-ID	1362365-5
ISSN	1361-6528 ; 0957-4484
ISSN (online)	1361-6528
ISSN	0957-4484
DOI	10.1088/1361-6528/aba70f
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Article ; Online: Integrated Photothermal-Pyroelectric Biosensor for Rapid and Point-of-Care Diagnosis of Acute Myocardial Infarction: A Convergence of Theoretical Research and Commercialization.

Yu, Zhichao / Gong, Hexiang / Gao, Yuan / Li, Ling / Xue, Fangqing / Zeng, Yongyi / Li, Meijin / Liu, Xiaolong / Tang, Dianping

Small (Weinheim an der Bergstrasse, Germany)

2022 Volume 18, Issue 30, Page(s) e2202564

Abstract: ... pyroelectric pervokite NaNbO ...

Abstract	Acute myocardial infarction (AMI) survivors face a high risk of mortality as a result of increasing heart failure and irreparable myocardial injury. New portable methods for immediate diagnosis must be developed to provide patients with daily warnings. Herein, the development of a dual-mode photothermal-pyroelectric output system based on a point-of-care platform for rapid AMI detection is reported. Termed as Integrated Photothermal-Pyroelectric Biosensor for AMI (IPPBA), the method leverages cascade enzymatic amplification to convert the target signal into a thermal and pyrooelectric conversion of the testing process by delicate pyroelectric pervokite NaNbO
MeSH term(s)	Biomarkers ; Biosensing Techniques ; Humans ; Myocardial Infarction/diagnosis ; Point-of-Care Systems ; Troponin I
Chemical Substances	Biomarkers ; Troponin I
Language	English
Publishing date	2022-07-01
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2168935-0
ISSN	1613-6829 ; 1613-6810
ISSN (online)	1613-6829
ISSN	1613-6810
DOI	10.1002/smll.202202564
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Article: A⁺¹Nb⁵⁺O₃ (A = Li, Na, K) Perovskites with Different Fine Structures for Oxidative Coupling of Methane: Tracing the Crystalline Phase Effect on the Surface Active Sites

Xu, Junwei / Gong, Ying / Zhang, Zhixuan / Xiao, Qiyao / Xu, Xianglan / Fang, Xiuzhong / Wang, Xiang

Journal of physical chemistry. 2021 Nov. 29, v. 125, no. 48

2021

Abstract: ... complex oxides were synthesized in the pure phase. The reaction performance is ranked as NaNbO₃ > KNbO₃ ... NaNbO₃ and KNbO₃ possess orthorhombic and tetragonal perovskite phases, respectively. Due to the fine ... structure difference, NaNbO₃ and KNbO₃ have higher oxygen mobility than LiNbO₃, as testified ...

Abstract	Targeting to unravel the catalytic sites of some specific perovskites for OCM reaction, and elucidate the influences of crystal phase changes on the active sites, three A⁺¹Nb⁵⁺O₃ (A = Li, Na, K) complex oxides were synthesized in the pure phase. The reaction performance is ranked as NaNbO₃ > KNbO₃ > LiNbO₃ for the catalysts. It is revealed that LiNbO₃ possesses a hexagonal ilmenite-type phase, and NaNbO₃ and KNbO₃ possess orthorhombic and tetragonal perovskite phases, respectively. Due to the fine structure difference, NaNbO₃ and KNbO₃ have higher oxygen mobility than LiNbO₃, as testified by the electric conductivity measurements. Moreover, the Nb–O bond strength of NaNbO₃ and KNbO₃ is much weaker than that of LiNbO₃, which promotes also the oxygen mobility and phase transformation of the two samples, especially in the high temperature OCM process. As a result, more oxygen vacancies/defects are generated on NaNbO₃ and KNbO₃, which facilitates the efficient formation of OCM active and selective surface O₂– species and basic sites. Subsequently, the OCM performance of NaNbO₃ and KNbO₃ can be evidently improved. Combining the above advantages, NaNbO₃ exhibits the optimal OCM performance in all the samples.
Keywords	electrical conductivity ; methane ; oxygen ; phase transition ; temperature
Language	English
Dates of publication	2021-1129
Size	p. 26460-26471.
Publishing place	American Chemical Society
Document type	Article
ISSN	1932-7455
DOI	10.1021/acs.jpcc.1c07586
Database	NAL-Catalogue (AGRICOLA)

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