4.5 Article

Nanoscale phase transformation in Ge2Sb2Te5 using encapsulated scanning probes and retraction force microscopy

期刊

REVIEW OF SCIENTIFIC INSTRUMENTS
卷 80, 期 8, 页码 -

出版社

AMER INST PHYSICS
DOI: 10.1063/1.3204449

关键词

-

资金

  1. European Commission [FP6-2005-IST-5-34719]

向作者/读者索取更多资源

Encapsulated conducting probes that can sustain high currents are used to study the nanoscale properties of thin-film stacks comprising of a phase-change chalcogenide, Ge2Sb2Te5. Scaling studies on this promising candidate for random-access memory devices had thus far required extensive lithography and nanoscale growth. This seriously hampers rapid materials characterization. This article describes the use of two key techniques, an encapsulated conductive probe and its use in retraction mode, whereby the attractive force between tip and sample is used to maintain electrical contact. The effective transformation of nanoscale dots of amorphous Ge2Sb2Te5 into the crystalline state is achieved and the electrical conductivity of the transformed structures is probed. The use of retraction force microscopy in a robust manner is demonstrated by reading the conductivity of the crystalline dots. Both these techniques could enable rapid electrical characterization of nanoscale materials, without extensive nanopatterning, thus reducing material development cycles. (C) 2009 American Institute of Physics. [DOI: 10.1063/1.3204449]

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Multidisciplinary

Electronically Reconfigurable Photonic Switches Incorporating Plasmonic Structures and Phase Change Materials

Nikolaos Farmakidis, Nathan Youngblood, June Sang Lee, Johannes Feldmann, Alessandro Lodi, Xuan Li, Samarth Aggarwal, Wen Zhou, Lapo Bogani, Wolfram Hp Pernice, C. David Wright, Harish Bhaskaran

Summary: The authors demonstrate an electrically reconfigurable, ultra-compact, and nonvolatile memory that harmonizes electronics and photonics through localized heat generation and interlocked optical and electrical readout signals, achieving unprecedented energy efficiency.

ADVANCED SCIENCE (2022)

Article Optics

Monadic Pavlovian associative learning in a backpropagation-free photonic network

James Y. S. Tan, Zengguang Cheng, Johannes Feldmann, Xuan Li, Nathan Youngblood, Utku E. Ali, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran

Summary: This study demonstrates a form of backpropagation-free learning using an integrated photonic platform. By utilizing phase-change materials and on-chip cascaded directional couplers, the researchers develop a machine learning framework based on single-element associations. This approach reduces computational burden and increases learning speed while offering higher bandwidth.

OPTICA (2022)

Article Multidisciplinary Sciences

An integrated photonics engine for unsupervised correlation detection

Syed Ghazi Sarwat, Frank Brueckerhoff-Plueckelmann, Santiago Garcia-Cuevas Carrillo, Emanuele Gemo, Johannes Feldmann, Harish Bhaskaran, C. David Wright, Wolfram H. P. Pernice, Abu Sebastian

Summary: With the digitization of modern life and scientific tools, the generation of data is growing exponentially, requiring fast and efficient statistical processing. This paper introduces a novel computational paradigm through the development of an integrated phase-change photonics engine. By exploiting the properties of phase-change cells and optics, the engine enables fully parallel and colocated temporal correlation detection computations. Experimental demonstrations on Twitter and data centers showcase the use of high-speed integrated photonics in accelerating statistical analysis methods.

SCIENCE ADVANCES (2022)

Article Chemistry, Multidisciplinary

A Universal Pick-and-Place Assembly for Nanowires

Utku Emre Ali, He Yang, Vladislav Khayrudinov, Gaurav Modi, Zengguang Cheng, Ritesh Agarwal, Harri Lipsanen, Harish Bhaskaran

Summary: This article introduces a technique for reliably transferring individual nanowires onto various platforms and demonstrates their applications on different structures. The versatility of this technique enables easy integration of nanowires into previously seen cumbersome or impractical applications, including TEM studies and in situ electrical, optical, and mechanical characterization.
Article Multidisciplinary Sciences

Polarization-selective reconfigurability in hybridized-active-dielectric nanowires

June Sang Lee, Nikolaos Farmakidis, C. David Wright, Harish Bhaskaran

Summary: This study introduces hybridized-active-dielectric nanowires for polarization-selective tunability and demonstrates the ability to modulate conductance and perform matrix-vector multiplication using polarization as a parameter. This concept can be generalized to other materials and has potential in various applications.

SCIENCE ADVANCES (2022)

Article Chemistry, Multidisciplinary

AFM Manipulation of EGaln Microdroplets to Generate Controlled, On-Demand Contacts on Molecular Self-Assembled Monolayers

Eugene Jia Hao Soh, Hippolyte P. A. G. Astier, Dan Daniel, Jia Qing Isaiah Chua, Ali Miserez, Zian Jia, Ling Li, Sean J. O'Shea, Harish Bhaskaran, Nikodem Tomczak, Christian A. Nijhuis

Summary: In this study, we demonstrate the direct manipulation and control of liquid metal droplets using an atomic force microscope, achieving repeated contact and separation with self-assembled monolayers in different environments. We successfully create well-defined contact areas of liquid droplets on alkanethiolate SAMs in ethanol, and achieve smaller geometric contact areas in air compared to previous studies.

ACS NANO (2022)

Article Nanoscience & Nanotechnology

A large scale photonic matrix processor enabled by charge accumulation

Frank Brueckerhoff-Plueckelmann, Ivonne Bente, Daniel Wendland, Johannes Feldmann, C. David Wright, Harish Bhaskaran, Wolfram Pernice

Summary: Integrated neuromorphic photonic circuits aim to power complex artificial neural networks in an energy and time efficient way. Scaling photonic circuits to match the requirements of modern ANNs remains challenging. A proposed time multiplexed matrix processing scheme virtually increases the size of a physical photonic crossbar array without requiring additional electrical post-processing, enabling high-speed and high-accuracy matrix vector multiplications.

NANOPHOTONICS (2023)

Article Chemistry, Multidisciplinary

Varifocal Metalens Using Tunable and Ultralow-loss Dielectrics

Mengyun Wang, June Sang Lee, Samarth Aggarwal, Nikolaos Farmakidis, Yuhan He, Tangsheng Cheng, Harish Bhaskaran

Summary: The field of flat optics using nanostructured metasurfaces has made great progress in the last decade. Chalcogenide phase-change materials (PCMs) have shown potential in realizing reconfigurable metasurfaces. This study demonstrates active polarization-insensitive phase-change metalenses at near-IR wavelengths using a low-loss PCM Sb2Se3. The material's ultralow-loss nature opens up new possibilities for optical communications, multi-depth imaging, beam steering, optical routing, and holography.

ADVANCED SCIENCE (2023)

Article Optics

Integrated optical pattern generation on thin-film lithium niobate with electro-optic modulators and phase-change material cells

Ivonne Bente, Frank Brueckerhoff-Plueckelmann, J. Rasmus Bankwitz, Daniel Wendland, Emma Lomonte, Francesco Lenzini, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice

Summary: Reconfigurable photonic integrated circuits, by combining electro-optical tunability and nonvolatile attenuation through functional materials, are proposed for optical pattern generation. The use of phase-change material Ge2Sb2Te5 (GST) as a tunable attenuator in an integrated photonic circuit enables the generation of short optical pulses based on inverse discrete Fourier transform principles.

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS (2023)

Article Chemistry, Multidisciplinary

Scalable High-Precision Trimming of Photonic Resonances by Polymer Exposure to Energetic Beams

Nikolaos Farmakidis, Hao Yu, June Sang Lee, Johannes Feldmann, Mengyun Wang, Yuhan He, Samarth Aggarwal, Bowei Dong, Wolfram H. P. Pernice, Harish Bhaskaran

Summary: Integrated photonic circuits (PICs) have gained significant attention and commercial success in the past decade. However, the spectral characteristics of high-quality resonances in PICs are sensitive to small variations in fabrication and material constants, limiting their applicability. In this study, we propose a scalable solution using existing lithography tools to permanently modulate the waveguide's effective index by exploiting the volume shrinkage exhibited by certain polymers during the semiconductor fabrication process. This technique enables broadband and lossless tuning, making it suitable for various applications in optical computing, telecommunications, and free-space optics.

NANO LETTERS (2023)

Article Nanoscience & Nanotechnology

Atomically thin optomemristive feedback neurons

Ghazi Sarwat Syed, Yingqiu Zhou, Jamie Warner, Harish Bhaskaran

Summary: We introduce a two-dimensional heterojunction-based optomemristive neuron that demonstrates nonlinear and rectified integration of information, as well as optically broadcasting. This neuron has potential applications in machine learning, particularly in winner-take-all networks.

NATURE NANOTECHNOLOGY (2023)

Review Optics

Integrated optical memristors

Nathan Youngblood, Carlos A. Rios Ocampo, Wolfram H. P. Pernice, Harish Bhaskaran

Summary: Memristors in electronics have shown great potential in various applications, and the ability to vary conductance has led to interest in memristors. In the field of photonic computing, optical analogues of memristors, which modulate light transmission in integrated circuits, are being pursued. This review focuses on recent progress and the current state of integrated optical memristors.

NATURE PHOTONICS (2023)

Article Multidisciplinary Sciences

In-memory photonic dot-product engine with electrically programmable weight banks

Wen Zhou, Bowei Dong, Nikolaos Farmakidis, Xuan Li, Nathan Youngblood, Kairan Huang, Yuhan He, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran

Summary: This paper reports an in-memory photonic-electronic dot-product engine that decouples electronic programming of phase-change memory cells and enables parallel photonic computation with high-bit operation, low energy consumption, and high accuracy. The developed system achieves high inferencing accuracies in image recognition.

NATURE COMMUNICATIONS (2023)

Correction Nanoscience & Nanotechnology

Atomically thin optomemristive feedback neurons (May, 10.1038/s41565-023-01391-6, 2023)

Ghazi Sarwat Syed, Yingqiu Zhou, Jamie Warner, Harish Bhaskaran

NATURE NANOTECHNOLOGY (2023)

Article Optics

Reduced rank photonic computing accelerator

Samarth Aggarwal, Bowei Dong, Johannes Feldmann, Nikolaos Farmakidis, Wolfram H. P. Pernice, Harish Bhaskaran

Summary: The use of artificial intelligence in tasks like image classification and speech recognition has become an integral part of our lives, necessitating the processing of large amounts of data in real-time. Photonic cores offer ultra-fast convolutional processing by utilizing parallelized matrix-vector multiplications (MVMs) through broadband optical links. This paper proposes and demonstrates a hardware photonic architecture with reduced rank operation, improving scalability and reducing system complexity.

OPTICA (2023)

暂无数据