Results 71 to 80 of about 16,813,404 (391)

Impact of Pre-Patterned Structures on Features of Laser-Induced Periodic Surface Structures

Molecules, 2021
The efficiency of light coupling to surface plasmon polariton (SPP) represents a very important issue in plasmonics and laser fabrication of topographies in various solids. To illustrate the role of pre-patterned surfaces and impact of laser polarisation
Stella Maragkaki, Panagiotis C. Lingos, George D. Tsibidis, George Deligeorgis, Emmanuel Stratakis   +4 more
doaj   +1 more source

Electronic Structure of Hyperkagome Na4Ir3O8

, 2010
We investigate the electronic structure of the frustrated magnet Na4Ir3O8 using density functional theory. Due to strong spin-orbit coupling, the hyperkagome lattice is characterized by a half-filled complex of states, making it a cubic iridium analogue ...
M. R. Norman, T. Micklitz, W. H. Press
core   +1 more source

Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion, Mario Stanziano, Ludovico D'Incerti, Davide Sattin, Stefania Ferraro, Davide Rossi Sebastiano, Francesca Giulia Magnani, Alice Deruti, Davide Fedeli, Ludovico Minati, Francesca Epifani, Marina Grisoli, Matilde Leonardi, Maria Grazia Bruzzone, Anna Nigri, Cristina Rosazza   +15 more
wiley   +1 more source

Investigation on SMT Product Defect Recognition Based on Multi-Source and Multi-Dimensional Data Reconstruction

Micromachines, 2022
The recognition of defects in the solder paste printing process significantly influences the surface-mounted technology (SMT) production quality. However, defect recognition via inspection by a machine has poor accuracy, resulting in a need for the ...
Jiantao Chang, Zixuan Qiao, Qibin Wang, Xianguang Kong, Yunsong Yuan   +4 more
doaj   +1 more source

d0 Perovskite-Semiconductor Electronic Structure

, 2010
We address the low-energy effective Hamiltonian of electron doped d0 perovskite semiconductors in cubic and tetragonal phases using the k*p method. The Hamiltonian depends on the spin-orbit interaction strength, on the temperature-dependent tetragonal ...
A. H. MacDonald, G. Khalsa, J. B. Goodenough, J. Kubler, J. Singleton, K. Rabe, M. P. Marder, M. S. Dresselhaus, N. W. Ashcroft, R. Bistritzer, Y. Yu   +10 more
core   +1 more source

Quantum machine learning for electronic structure calculations [PDF]

Nature Communications, 2018
Considering recent advancements and successes in the development of efficient quantum algorithms for electronic structure calculations—alongside impressive results using machine learning techniques for computation—hybridizing quantum computing with ...
Rongxin Xia, S. Kais
semanticscholar   +1 more source

Influence of Dystrophin Isoform Deficiency on Motor Development in Duchenne Muscular Dystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In Duchenne muscular dystrophy (DMD), lack of the shorter dystrophin isoforms Dp140 and Dp71 is associated with increased central nervous system (CNS) involvement. We aimed to investigate how CNS involvement affects motor development in young DMD boys.
Mary Chesshyre, Deborah Ridout, Georgia Stimpson, Laurent Servais, Giovanni Baranello, Adnan Manzur, UK NorthStar Clinical Network, M. Scoto, A. Sarkozy, P. Munot, S. Robb, E. Chan, V. Robinson, W. Girshab, V. Crook, E. Milev, L. Abbott, A. Wolfe, E. O’Reilly, J. Watts‐Whent, N. Burnett, R. Thomas, R. Terespolsky, O. Martinaeu, J. Longatto, V. Straub, C. Bettolo, M. Guglieri, J. Diaz‐Manera, G. Tasca, M. Elseed, R. Muni‐Lofra, M. James, D. Moat, J. Sodhi, K. Wong, E. Robinson, E. Groves, R. Rabb, D. Parasuraman, H. McMurchie, H. Chase, Tracey Willis, C. Rylance, N. Birchall, E. Wright, A. Childs, K. Pysden, C. Martos, D. Roberts, L. Pallant, S. Walker, A. Henderson, R. Madhu, R. Karuvattil, Y. Balla, S. Gregson, S. Clark, E. Wraige, H. Jungbluth, V. Gowda, M. Vanegas, J. Sheehan, A. Schofield, C. Smith, I. Hughes, E. Whitehouse, S. Warner, E. Reading, N. Emery, J. Moustoukas, K. Strachan, M. Ong, M. Atherton, N. Mills, S. Sanchez Marco, A. Saxena, K. Skone, J. TeWaterNaude, H. Davis, C. Wood, A. Majumdar, A. Murugan, I. Guarino, R. Tomlinson, H. Jarvis, L. Wills, C. Frimpong, J. Watson, G. Cobb, G. Robertson, P. Brink, J. Burslem, C. Adams, J. Wong, S. Joseph, I. Horrocks, J. Dunne, M. DiMarco, S. Brown, S. McKenzie, K. Torne, R. Mohamed, V. Velmurugan, M. Prasad, S. Sedehizadeh, A. Schugal, R. Keetley, S. Williamson, K. Payne, E. Dowling, P. Fenty, C. de Goede, A. Parkes, K. Baxter, M. Illingworth, N. Bhangu, S. Geary, J. Palmer, K. Shill, S. Tirupathi, A. Shah, D. O’Donogue, J. McVeigh, J. McFetridge, G. Nicfhirleinn, H. Beattie, T. Leyland, K. Stevenson, N. Hussain, D. Baskaran, Z. Lambat, R. Sullivan, L. Locke, G. Ambegaonkar, D. Krishnakumar, J. Taylor, J. Moores, E. Stephen, J. Tewnion, S. Ramdas, M. Sa, A. Skippen, M. Khries, C. Lilien, H. Ramjattan, F. Taylor, H. English, K. Stewart, F. Flint, E. Bartram, R. Noble, Francesco Muntoni   +152 more
wiley   +1 more source

Coarse and Fine Two-Stage Calibration Method for Enhancing the Accuracy of Inverse Finite Element Method

Sensors, 2023
The inverse finite element method (iFEM) is a novel method for reconstructing the full-field displacement of structures by discrete measurement strain. In practical engineering applications, the accuracy of iFEM is reduced due to the positional offset of
Jiewei Lu, Dahang He, Zhenyi Zhao, Hong Bao   +3 more
doaj   +1 more source

Electronic Structure of Multiple Dots

, 2005
We calculate, via spin density functional theory (SDFT) and exact diagonalization, the eigenstates for electrons in a variety of external potentials, including double and triple dots.
A. Vidan, Burkard, Darwin, Hatano, Hu, Loss, M. Stopa, R.M. Westervelt, S. Tarucha, Shur, Stopa, Stopa, T. Hatano, Van der Wiel, Vidan   +14 more
core   +1 more source

Solving the electronic structure problem with machine learning

npj Computational Materials, 2019
Simulations based on solving the Kohn-Sham (KS) equation of density functional theory (DFT) have become a vital component of modern materials and chemical sciences research and development portfolios. Despite its versatility, routine DFT calculations are
Anand Chandrasekaran, Deepak Kamal, Rohit Batra, Chiho Kim, Lihua Chen, R. Ramprasad   +5 more
semanticscholar   +1 more source