Materials Strategies for Organic Neuromorphic Devices

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Aristide Gumyusenge ◽  
Armantas Melianas ◽  
Scott T. Keene ◽  
Alberto Salleo
Keyword(s):  
Energy Efficiency ◽  
High Performance ◽  
Materials Science ◽  
High Energy ◽  
Information Storage ◽  
Oxide Semiconductor ◽  
Future Research ◽  
Annual Review ◽  
Publication Date ◽  
Neuromorphic Computing

Neuromorphic computing is becoming increasingly prominent as artificial intelligence (AI) facilitates progressively seamless interaction between humans and machines. The conventional von Neumann architecture and complementary metal-oxide semiconductor transistor scaling are unable to meet the highly demanding computational density and energy efficiency requirements of AI. Neuromorphic computing aims to address these challenges by using brain-like computing architectures and novel synaptic memories that coallocate information storage and computation, thereby enabling low latency at high energy efficiency and high memory density. Though various emerging memory devices have been extensively studied to emulate the functionality of biological synapses, there is currently no material/device system that encompasses both the needed metrics for high-performance neuromorphic computing and the required biocompatibility for potential body-computer integration. In this review, we aim to equip the reader with general design principles and materials requirements for realizing high-performance organic neuromorphic devices. We use instructive examples from recent literature to discuss each requirement, illustrating the challenges as well as future research opportunities. Though organic devices still face many challenges to become major players in neuromorphic computing, mostly due to their lack of compliance with back-end-of-the-line processes required for integration with digital logic, we propose that their biocompatibility and mechanical conformability give them an advantage for creating adaptive biointerfaces, brain-machine interfaces, and biology-inspired prosthetics. Expected final online publication date for the Annual Review of Materials Science, Volume 51 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Thermoelectrics by Computational Design: Progress and Opportunities

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Boris Kozinsky ◽  
David J. Singh
Keyword(s):  
First Principles ◽  
High Performance ◽  
Materials Science ◽  
Phonon Scattering ◽  
Transport Coefficients ◽  
Computational Design ◽  
Science Volume ◽  
Annual Review ◽  
Publication Date ◽  
Boltzmann Transport

The performance of thermoelectric materials is determined by their electrical and thermal transport properties that are very sensitive to small modifications of composition and microstructure. Discovery and design of next-generation materials are starting to be accelerated by computational guidance. We review progress and challenges in the development of accurate and efficient first-principles methods for computing transport coefficients and illustrate approaches for both rapid materials screening and focused optimization. Particularly important and challenging are computations of electron and phonon scattering rates that enter the Boltzmann transport equations, and this is where there are many opportunities for improving computational methods. We highlight the first successful examples of computation-driven discoveries of high-performance materials and discuss avenues for tightening the interaction between theoretical and experimental materials discovery and optimization. Expected final online publication date for the Annual Review of Materials Science, Volume 51 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Research Advances in Potyviruses: From the Laboratory Bench to the Field

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Xiuling Yang ◽  
Yinzi Li ◽  
Aiming Wang
Keyword(s):  
Control Strategies ◽  
Genetic Resistance ◽  
Plant Viruses ◽  
Infection Process ◽  
Future Research ◽  
Annual Review ◽  
Publication Date ◽  
Viral Pathogens ◽  
Genome Expression ◽  
Amount Of Knowledge

Potyviruses (viruses in the genus Potyvirus, family Potyviridae) constitute the largest group of known plant-infecting RNA viruses and include many agriculturally important viruses that cause devastating epidemics and significant yield losses in many crops worldwide. Several potyviruses are recognized as the most economically important viral pathogens. Therefore, potyviruses are more studied than other groups of plant viruses. In the past decade, a large amount of knowledge has been generated to better understand potyviruses and their infection process. In this review, we list the top 10 economically important potyviruses and present a brief profile of each. We highlight recent exciting findings on the novel genome expression strategy and the biological functions of potyviral proteins and discuss recent advances in molecular plant–potyvirus interactions, particularly regarding the coevolutionary arms race. Finally, we summarize current disease control strategies, with a focus on biotechnology-based genetic resistance, and point out future research directions. Expected final online publication date for the Annual Review of Phytopathology, Volume 59 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Cultivating Resilience During the COVID-19 Pandemic: A Socioecological Perspective

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Ning Zhang ◽  
Shujuan Yang ◽  
Peng Jia
Keyword(s):  
Cost Effective ◽  
Future Research ◽  
Annual Review ◽  
Publication Date ◽  
Physical And Mental Health ◽  
Pandemic Preparedness ◽  
Predicting Factors ◽  
Effective Interventions ◽  
Interdisciplinary Framework ◽  
The Individual

The coronavirus disease 2019 (COVID-19) pandemic poses wide-ranging impacts on the physical and mental health of people around the world, increasing attention from both researchers and practitioners on the topic of resilience. In this article, we review previous research on resilience from the past several decades, focusing on how to cultivate resilience during emerging situations such as the COVID-19 pandemic at the individual, organizational, community, and national levels from a socioecological perspective. Although previous research has greatly enriched our understanding of the conceptualization, predicting factors, processes, and consequences of resilience from a variety of disciplines and levels, future research is needed to gain a deeper and comprehensive understanding of resilience, including developing an integrative and interdisciplinary framework for cultivating resilience, developing an understanding of resilience from a life span perspective, and developing scalable and cost-effective interventions for enhancing resilience and improving pandemic preparedness. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Electronic, Ionic, and Mixed Conduction in Polymeric Systems

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Elayne M. Thomas ◽  
Phong H. Nguyen ◽  
Seamus D. Jones ◽  
Michael L. Chabinyc ◽  
Rachel A. Segalman
Keyword(s):  
Materials Science ◽  
Transport Coefficients ◽  
Polymeric Materials ◽  
Annual Review ◽  
Publication Date ◽  
Energy Storage Devices ◽  
Polymeric Systems ◽  
Storage Devices ◽  
Technological Advances ◽  
Performance Benchmark

Polymers that simultaneously transport electrons and ions are paramount to drive the technological advances necessary for next-generation electrochemical devices, including energy storage devices and bioelectronics. However, efforts to describe the motion of ions or electrons separately within polymeric systems become inaccurate when both species are present. Herein, we highlight the basic transport equations necessary to rationalize mixed transport and the multiscale materials properties that influence their transport coefficients. Potential figures of merit that enable a suitable performance benchmark in mixed conducting systems independent of end application are discussed. Practical design and implementation of mixed conducting polymers require an understanding of the evolving nature of structure and transport with ionic and electronic carrier density to capture the dynamic disorder inherent in polymeric materials. Expected final online publication date for the Annual Review of Materials Science, Volume 51 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Agricultural Labor Supply

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Alexandra E. Hill ◽  
Izaac Ornelas ◽  
J. Edward Taylor
Keyword(s):  
Labor Supply ◽  
Low Income ◽  
Empirical Work ◽  
Low Income Countries ◽  
Future Research ◽  
Farm Labor ◽  
Annual Review ◽  
Publication Date ◽  
Agricultural Labor ◽  
Farm Work

The labor supply response to agricultural wages is critical to the viability of crop production in high-income countries, which hire a largely foreign farm work force, as well as in low-income countries, where domestic workers move off the farm as the agricultural transformation unfolds. Modeling agricultural labor supply is more challenging than modeling the supply of other agricultural inputs or of labor to other sectors of the economy owing to unique features of agricultural production and farm labor markets. Data and econometric challenges abound, and estimates of agricultural labor supply elasticities are sparse. This review explains the importance and challenges of modeling farm labor supply and describes researchers’ efforts to address these challenges. It summarizes estimates of agricultural labor supply elasticities over the last 80 years, provides insights into variation in these estimates, identifies priority areas for future research, and reviews the most influential empirical work related to this important topic. Expected final online publication date for the Annual Review of Resource Economics, Volume 13 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Flood Inundation Prediction

2021 ◽  
Vol 54 (1) ◽  
Author(s):  
Paul D. Bates
Keyword(s):  
Fluid Mechanics ◽  
Land Surface ◽  
High Performance ◽  
Numerical Algorithms ◽  
Economic Damage ◽  
Annual Review ◽  
Publication Date ◽  
Flood Inundation ◽  
Damage Mapping ◽  
Performance Computing

Every year flood events lead to thousands of casualties and significant economic damage. Mapping the areas at risk of flooding is critical to reducing these losses, yet until the last few years such information was available for only a handful of well-studied locations. This review surveys recent progress to address this fundamental issue through a novel combination of appropriate physics, efficient numerical algorithms, high-performance computing, new sources of big data, and model automation frameworks. The review describes the fluid mechanics of inundation and the models used to predict it, before going on to consider the developments that have led in the last five years to the creation of the first true fluid mechanics models of flooding over the entire terrestrial land surface. Expected final online publication date for the Annual Review of Fluid Mechanics, Volume 54 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Chemistry Under Shock Conditions

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Brenden W. Hamilton ◽  
Michael N. Sakano ◽  
Chunyu Li ◽  
Alejandro Strachan
Keyword(s):  
Materials Science ◽  
Low Frequency ◽  
Annual Review ◽  
Publication Date ◽  
Energy Localization ◽  
Ambient Conditions ◽  
Static Loads ◽  
Nonequilibrium Conditions ◽  
Life On Earth ◽  
Modes Coupling

Shock loading takes materials from ambient conditions to extreme conditions of temperature and nonhydrostatic stress on picosecond timescales. In molecular materials the fast loading results in temporary nonequilibrium conditions with overheated low-frequency modes and relatively cold, high-frequency, intramolecular modes; coupling the shock front with the material's microstructure and defects results in energy localization in hot spots. These processes can conspire to lead to a material response not observed under quasi-static loads. This review focuses on chemical reactions induced by dynamical loading, the understanding of which requires bringing together materials science, shock physics, and condensed matter chemistry. Recent progress in experiments and simulations holds the key to the answer of long-standing grand challenges with implications for the initiation of detonation and life on Earth. Expected final online publication date for the Annual Review of Materials Science, Volume 51 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Characteristics and Trends of Research on New Energy Vehicle Reliability Based on the Web of Science

2018 ◽  
Vol 10 (10) ◽  
pp. 3560 ◽  
Author(s):  
Xian Zhao ◽  
Siqi Wang ◽  
Xiaoyue Wang
Keyword(s):  
Electric Vehicle ◽  
Energy Demand ◽  
High Performance ◽  
High Energy ◽  
Research Field ◽  
High Energy Density ◽  
Future Research ◽  
Charging System ◽  
New Energy ◽  
New Energy Vehicle

In order to satisfy the increasing energy demand and deal with the environmental problem caused by the conventional energy vehicle; the new energy vehicle (NEV), especially the electric vehicle (EV), has attracted increasing attention and the corresponding research has developed rapidly in recent years. The electric vehicle requires a battery with high energy density and frequent charging. In order to ensure high performance of the electric vehicle; the reliability of its charging system is extremely important. In this paper; an overview of the research on electric vehicle charging system reliability from 1998 to 2017 is presented from a bibliometric perspective. This study provides a comprehensive analysis of the current research climate and the emerging trends from the following four aspects: basic characteristics of publication outputs; including annual publication outputs and document types; collaboration analysis of countries/territories; institutions and authors; co-citation analysis of cited authors and cited references; co-occurrence analysis of subjects and keywords. By using CiteSpace; the collaboration relationship; co-citation and co-occurrence networks are shown clearly. According to the analysis results; studies in this research field will keep developing rapidly in the near future and several future research directions are proposed in the conclusions.

scholarly journals A New Approach to the Fabrication of Memristive Neuromorphic Devices: Compositionally Graded Films

Materials ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 3680
Author(s):  
Jong-Gul Yoon
Keyword(s):  
Short Term Memory ◽  
Chemical Vapor ◽  
Complementary Metal Oxide Semiconductor ◽  
Information Storage ◽  
Oxide Semiconductor ◽  
Film Electrode ◽  
Retention Performance ◽  
Short Term ◽  
Neuromorphic Computing ◽  
Term Memory

Energy-efficient computing paradigms beyond conventional von-Neumann architecture, such as neuromorphic computing, require novel devices that enable information storage at nanoscale in an analogue way and in-memory computing. Memristive devices with long-/short-term synaptic plasticity are expected to provide a more capable neuromorphic system compared to traditional Si-based complementary metal-oxide-semiconductor circuits. Here, compositionally graded oxide films of Al-doped MgxZn1−xO (g-Al:MgZnO) are studied to fabricate a memristive device, in which the composition of the film changes continuously through the film thickness. Compositional grading in the films should give rise to asymmetry of Schottky barrier heights at the film-electrode interfaces. The g-Al:MgZnO films are grown by using aerosol-assisted chemical vapor deposition. The current-voltage (I-V) and capacitance-voltage (C-V) characteristics of the films show self-rectifying memristive behaviors which are dependent on maximum applied voltage and repeated application of electrical pulses. Endurance and retention performance tests of the device show stable bipolar resistance switching (BRS) with a short-term memory effect. The short-term memory effects are ascribed to the thermally activated release of the trapped electrons near/at the g-Al:MgZnO film-electrode interface of the device. The volatile resistive switching can be used as a potential selector device in a crossbar memory array and a short-term synapse in neuromorphic computing.

Emerging Capabilities for the High-Throughput Characterization of Structural Materials

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Daniel B. Miracle ◽  
Mu Li ◽  
Zhaohan Zhang ◽  
Rohan Mishra ◽  
Katharine M. Flores
Keyword(s):  
High Throughput ◽  
Materials Science ◽  
Structural Materials ◽  
Rapid Screening ◽  
Annual Review ◽  
Publication Date ◽  
Synthesis Methods ◽  
Alloy Development ◽  
Composition Gradients ◽  
Future Vision

Structural materials have lagged behind other classes in the use of combinatorial and high-throughput (CHT) methods for rapid screening and alloy development. The dual complexities of composition and microstructure are responsible for this, along with the need to produce bulk-like, defect-free materials libraries. This review evaluates recent progress in CHT evaluations for structural materials. High-throughput computations can augment or replace experiments and accelerate data analysis. New synthesis methods, including additive manufacturing, can rapidly produce composition gradients or arrays of discrete alloys-on-demand in bulk form, and new experimental methods have been validated for nearly all essential structural materials properties. The remaining gaps are CHT measurement of bulk tensile strength, ductility, and melting temperature and production of microstructural libraries. A search strategy designed for structural materials gains efficiency by performing two layers of evaluations before addressing microstructure, and this review closes with a future vision of the autonomous, closed-loop CHT exploration of structural materials. Expected final online publication date for the Annual Review of Materials Science, Volume 51 is August 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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