Index Catalog // ScholarsArchive@OSU

Internal photoemission spectroscopy determination of barrier heights between Ta-based amorphous metals and atomic layer deposited insulators

Creator:: Jenkins, M. A., McGlone, J. M., Wager, J. F., and Conley, J. F., Jr.
Abstract:: The energy barrier heights between two recently reported Ta-based amorphous metals (TaWSi and TaNiSi), TaN, and atomic layer deposited Al2O3 and HfO2 insulators are measured in metal/insulator/metal (MIM) structures with Au top electrodes using internal photoemission (IPE) spectroscopy. For Al2O3, the Ta-based metal barrier heights, phi(Bn), increase with increasing metal...
Resource Type:: Article
Full Text:: barrier heights between Ta-based amorphous metals and atomic layer deposited insulators J. Appl. Phys

Conduction processes in metal–insulator–metal diodes with Ta₂O₅ and Nb₂O₅ insulators deposited by atomic layer deposition

Creator:: Alimardani, Nasir, McGlone, John M., Wager, John F., and Conley, John F., Jr.
Abstract:: Metal–insulator–metal diodes with Nb₂O₅ and Ta₂O₅ insulators deposited via atomic layer deposition are investigated. For both Nb₂O₅ and Ta₂O₅, the dominant conduction process is established as Schottky emission at small biases and Frenkel–Poole emission at large biases. Fowler–Nordheim tunneling is not found to play a role in determining current versus...
Resource Type:: Article
Full Text:: Alimardani, N., McGlone, J. M., Wager, J. F., & Conley Jr, J. F. (2013). Conduction processes in metal

Investigation of the impact of insulator material on the performance of dissimilar electrode metal-insulator-metal diodes

Creator:: Alimardani, Nasir, King, Sean W., French, Benjamin L., Tan, Cheng, Lampert, Benjamin P., and Conley, John F., Jr.
Abstract:: The performance of thin film metal-insulator-metal (MIM) diodes is investigated for a variety of large and small electron affinity insulators using ultrasmooth amorphous metal as the bottom electrode. Nb2O5, Ta2 O5, ZrO2, HfO2, Al2 O3, and SiO2 amorphous insulators are deposited via atomic layer deposition (ALD). Reflection electron energy loss...
Resource Type:: Article
Full Text:: Alimardani, N., King, S. W., French, B. L., Tan, C., Lampert, B. P., & Conley Jr, J. F. (2014

Guided-mode-resonance-coupled plasmonic-active SiO₂ nanotubes for surface enhanced Raman spectroscopy

Creator:: Xu, Xiaobin, Hasan, Dihan, Wang, Lei, Chakravarty, Swapnajit, Chen, Ray T., Fan, D. L., and Wang, Alan X.
Abstract:: We demonstrate a surface enhanced Raman scattering (SERS) substrate by integrating plasmonic-active SiO₂ nanotubes into Si₃N₄ gratings. First, the dielectric grating that is working under guided mode resonance (GMR) provides enhanced electric field for localized surface plasmon polaritons on the surface of metallic nanoparticles. Second, we use SiO₂ nanotubes with...
Resource Type:: Article
Full Text:: Oregon State University. 1D. L. Jeanmaire and R. P. Van Duyne, J. Electroanal. Chem. 84, 1(1977). 2M. G

Near-infrared absorption gas sensing with metal-organic framework on optical fibers

Creator:: Chong, Xinyuan, Kim, Ki-Joong, Li, Erwen, Zhang, Yujing, Ohodnicki, Paul R., Chang, Chih-Hung, and Wang, Alan X.
Abstract:: Despite significant advantages in terms of portability and cost, near-infrared (NIR) gas sensing still remains a great challenge due to its relatively weak overtone absorption from the fundamental vibrational bond absorption at the mid-IR frequency. In this paper, we demonstrated ultra-sensitive NIR gas sensing for carbon dioxide (CO₂) at 1.57...
Resource Type:: Article
Full Text:: sensitive near-infrared absorption, J. Mater. Chem. C 3 (2015) 2763–2767. [5] W.C. Lai, S. Chakravarty, X.L

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Creator:: Rowe, Shawn, Riggio, Mariapaola, De Amicis, Raffaele, and Rowe, Susan R.
Abstract:: This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12...
Resource Type:: Article

Interactive visual analysis promotes exploration of long-term ecological data

Creator:: Pham, Tuan, Jones, Julia A., Metoyer, Ronald, Swanson, Frederick, and Pabst, Robert
Abstract:: Long-term ecological data are crucial in helping ecologists understand ecosystem function and environmental change. Nevertheless, these kinds of data sets are difficult to analyze because they are usually large, multivariate, and spatiotemporal. Although existing analysis tools such as statistical methods and spreadsheet software permit rigorous tests of pre-conceived hypotheses and...
Resource Type:: Article
Full Text:: Ecosystems and Society, Oregon State University, Corvallis, Oregon 97331 USA Citation: Pham, T., J. Jones, R

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Creator:: Aghasi, Allreza, Ral, Arun, and Xla, Yusen
Abstract:: Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
Resource Type:: Article
Full Text:: , Corvallis, Oregon 97331; b Center for Digital Innovation and Computer Information Systems Department, J

Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds

Creator:: Illán, Javier Gutiérrez, Thomas, Chris D., Jones, Julia A., Wong, Weng-Keen, Shirley, Susan M., and Betts, Matthew G.
Abstract:: Predicting biodiversity responses to climate change remains a difficult challenge, especially in climatically complex regions where precipitation is a limiting factor. Though statistical climatic envelope models are frequently used to project future scenarios for species distributions under climate change, these models are rarely tested using empirical data. We used long-term...
Resource Type:: Article
Full Text:: temperature predict long-term range-scale abundance changes in Western North American birds Illán, J. G

OPEnS Hub: Real-time Data Logging, Connecting Field Sensors to Google Sheets

Creator:: DeBell, Thomas C., Goertzen, Luke, Larson, Lars, Selbie, William, Selker, John S., and Udell, Chet
Abstract:: In Earth science, we must often collect data from sensors installed in remote locations. Retrieving these data and storing them can be challenging. Present options include proprietary commercial dataloggers, communication devices, and protocols with rigid software and data structures that may require ongoing expenses. While there are open-source solutions that...
Resource Type:: Article
Full Text:: weather station data 159 received from 5 devices dispersed across the H. J. Andrews Experimental Forest

ScholarsArchive@OSU

Internal photoemission spectroscopy determination of barrier heights between Ta-based amorphous metals and atomic layer deposited insulators

Conduction processes in metal–insulator–metal diodes with Ta₂O₅ and Nb₂O₅ insulators deposited by atomic layer deposition

Investigation of the impact of insulator material on the performance of dissimilar electrode metal-insulator-metal diodes

Guided-mode-resonance-coupled plasmonic-active SiO₂ nanotubes for surface enhanced Raman spectroscopy

Near-infrared absorption gas sensing with metal-organic framework on optical fibers

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Interactive visual analysis promotes exploration of long-term ecological data

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds

OPEnS Hub: Real-time Data Logging, Connecting Field Sensors to Google Sheets

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