Results 111 to 120 of about 141,992 (339)
Levenshtein Distance as a Measure of Accuracy and Precision in Forensic PCR-MPS Methods [PDF]
, 2021 Brian Young, Tom Faris, Luigi Armogida
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From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
Advanced Energy Materials, EarlyView.This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
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Journal of Ocean Engineering and ScienceThe Moving particle semi-implicit (MPS) method is a widely used approach to simulate the violent interactions between dam break flow and downstream structures.
Date Li, Huaixin Zhang, Guangfei Qin
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Simulation of sloshing in three-dimensional cylindrical tank by MPS method
Zhongguo Jianchuan Yanjiu, 2019 [Objectives] This paper applies Moving Particle Semi-implicit (MPS) method to solve the sloshing problem of horizontal cylindrical tank,so as to study the influence of excitation frequency on sloshing phenomenon under single freedom degree sloshing ...
Tian Xin, Wan Decheng
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Matrix-Product based Projected Wave Functions Ansatz for Quantum Many-Body Ground States
, 2012 We develop a new projected wave function approach which is based on projection operators in the form of matrix-product operators (MPOs). Our approach allows to variationally improve the short range entanglement of a given trial wave function by ...
Chung-Pin Chou +3 more
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IMPROVED MPS METHOD FOR ENERGY CONSERVATION AND ITS APPLICATION TO IRREGULAR WAVE SIMULATION
, 2022 Hiroyuki IKARI +2 more
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Numerical study of green water loads on a fixed structure with elastic sidewalls by MPS-FEM coupled method [PDF]
, 2023 Mengmeng Wu, Guang Yang, Weiwen Zhao
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Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
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Resilience of Small Beef Packers and the USDA Meat Supply Chain Initiative
Agribusiness, EarlyView.ABSTRACT We focus on the plant‐size resilience relationship among small beef packers during COVID‐19. Defining resilience as the ability to maintain or increase slaughter and non‐resilience as otherwise, we use survey and secondary data to estimate a logit model where resilience is a function of a plant's capacity and age in addition to labor condition
Sunil P. Dhoubhadel +2 more
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Hepatology, EarlyView., 2022 Mesenchymal stem cells subset, educated by TNF‐α, are involved to generate inflammatory microenvironment and promote hepatocarcinogenesis Abstract Background and Aims Increasing evidence suggests that mesenchymal stem cells (MSCs) home to injured local tissues and the tumor microenvironment in the liver.
Chen Zong +9 more
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