A5101595607- Infrastructure Resilience and Vulnerability Analysis
- Machine Learning in Materials Science
- Building Energy and Comfort Optimization
- Complex Network Analysis Techniques
- Power System Reliability and Maintenance
- Optimal Power Flow Distribution
- Engineering Applied Research
- Advanced Graph Neural Networks
- Smart Grid Energy Management
- Korean Peninsula Historical and Political Studies
- Graph Theory and Algorithms
- High Temperature Alloys and Creep
- Distributed and Parallel Computing Systems
- Network Security and Intrusion Detection
- Artificial Intelligence in Healthcare
- Power System Optimization and Stability
- Advanced Materials Characterization Techniques
- Recommender Systems and Techniques
- Data Quality and Management
- Power Systems and Technologies
- Risk and Safety Analysis
- Nuclear reactor physics and engineering
- Sustainable Industrial Ecology
- Silicon Carbide Semiconductor Technologies
- Fuzzy and Soft Set Theory
Oak Ridge National Laboratory
2015-2024
Office of Scientific and Technical Information
2022
National Technical Information Service
2022
Hanyang University
2019-2020
Government of the United States of America
2018
Korea University
2016
LG (South Korea)
2012
IBM (United States)
2011
Samsung (South Korea)
2007-2011
Gangneung–Wonju National University
2009
Developing an automated active learning framework for Neural Network Potentials, focusing on accurately simulating bond-breaking in hexane chains through steered molecular dynamics sampling and assessing model transferability.
Abstract In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by Environment for Analysis Geo-Located Energy Information (EAGLE-I TM ) , a geographic information system visualization platform created Oak Ridge National Laboratory map population experiencing outages every 15 minutes county level. Although...
The two Koreas have failed to produce any meaningful achievements in military confidence-building measures, arms control, and reduction. Moreover, South Korea’s continued competitive edge over the North conventional weapons capability has driven Korea mitigate its inferiority by pursuing dangerous course of nuclear armament. This article attempts understand evolving nature spending race on Korean peninsula. first section analyzes evaluates dynamics race. second empirically compares patterns...
Recent increases in extreme weather events such as severe thunderstorms, floods, and hurricanes are leading to destruction power system equipment (transmission distribution poles lines, substations, plants, etc.) causing widespread prolonged outages. These outages often cause inconveniences critical services (health care, transportation, national security, significant losses the economy, human suffering. Therefore, understanding spatiotemporal correlation of these with systems is crucial...
Recent progress in high-performance computing and data informatics has opened up numerous opportunities to aid the design of advanced materials. Herein, we demonstrate a computational workflow that includes rapid population high-fidelity materials datasets via petascale subsequent analyses with modern science techniques. We use first-principles approach based on density functional theory derive segregation energies 34 microalloying elements at coherent semi-coherent interfaces between...
Abstract A large number of microstructural parameters and a wide range transport physics impose challenges on thermal analysis alloy. Herein, modern data science techniques are employed to overcome the challenges, pursuing effective calculation properties. This emerging approach is tested for precipitate‐hardened aluminum (Al) alloy with consideration precipitate morphology. The finite element method (FEM) create database conductivity hypothetical Al alloys varying morphological features....
While future terabit networks hold the promise of significantly improving big-data motion among geographically distributed data centers, significant challenges must be overcome even on today's 100 gigabit to realize end-to-end performance. Multiple bottlenecks exist along path from source sink, for instance, storage infrastructure at both and sink its interplay with wide-area network are increasingly bottleneck achieving high In this paper, we identify issues that lead congestion an transfer...
As in the case of two-dimensional topology design optimization, numerical instability problems similar to formation checkerboard patterns occur if standard eight-node conforming brick element is used. Motivated by recent success non-conforming elements completely eliminating patterns, we aim at investigating performance three-dimensional controlling that are estimated overly stiff elements. To this end, will investigate how accurately estimate stiffness patterns. The estimation based on...
The purpose of this paper is to study reliability evaluation fine pitch micro bump. In work, hot temperature storage(HTS) test and electromigration(EM) were performed for evaluation. We compared microstructure 20um diameter bump at 150°C 180°C. Also, Ni <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> Sn xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> IMC growth rate UBM dissolution 180 □ investigated. For HTS 180°C, resistance starts...
Critical Infrastructures (CIs) such as energy, water, and transportation are complex networks that crucial for sustaining day-to-day commodity flows vital to national security, economic stability, public safety. The nature of these CIs is failures caused by an extreme weather event or a man-made incident can trigger widespread cascading failures, sending ripple effects at regional even scales. To minimize effects, it critical emergency responders identify existing potential vulnerabilities...
Recently, advances in machine learning and artificial intelligence have been playing more critical roles a wide range of areas.For the last several years, industries shown that how from data, identifying patterns making decisions with minimal human intervention can be extremely useful to their business (e.g., image classification, recommending product customer, finding friends social network, predicting customers actions, etc.).These success stories motivating scientists who study physics,...
An aggressively scaled high performance 45nm bulk CMOS technology targeting graphic, gaming, wireless and digital home applications is presented. Through innovative utilization integration of advanced stressors, thermal processes other elements, at design ground rules, core NFET PFET realized world leading drive currents 1150 785 uA/um 100 nA/um off current 1V, respectively. In addition to the transistors, an ultra low-k back-end dielectric (k=2.4) significantly lowers wiring delay. this...
Graph analysis has revealed patterns and relationships hidden in data from a variety of domains such as transportation networks, social clinical pathways, collaboration networks. As these networks grow size, complexity, it is challenge to find the right combination tools implementation algorithms discover new insights data. Addressing this challenge, our study presents an extensive empirical evaluation three representative graph processing platforms: Pegasus, GraphX, Urika. Each system...
Critical Infrastructure Systems such as transportation, water and power grid systems are vital to our national security, economy, public safety. Recent events, like the 2012 hurricane Sandy, show how interdependencies among different CI networks lead catastrophic failures whole system. Hence, analyzing these networks, modeling failure cascades on them becomes a very important problem. However, traditional models either do not take multiple CIs or dynamics of system into account, model it...