Results 151 to 160 of about 942,483 (302)

Avoiding barren plateaus via Gaussian mixture model

New Journal of Physics
Variational quantum algorithms are among the most prominent methods in quantum computing, with applications in quantum machine learning, quantum simulation, and related fields.
Xiao Shi, Yun Shang
doaj   +1 more source

Charge‐Tunable Coacervate Micelles for Separator Engineering in Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
A separator engineering strategy based on charge‐tunable complex coacervate core micelles (C3Ms) is presented to form an ion‐selective layer regulating polysulfide transport in Li–S batteries. The micelles enable uniform adsorption onto commercial polypropylene separators and infiltration throughout the internal pore network, suppressing polysulfide ...
Yongsheng Zhang, J. R. Andrade Aguirre, Julien Es Sayed, Chongyang Jiang, Yuxuan Zhang, Xiaolong He, Yinyu Xiang, Yutao Pei, Xiangping Zhang, Petra Ruldolf, Marleen Kamperman, Giuseppe Portale   +11 more
wiley   +1 more source

Bayesian Portfolio Selection with Gaussian Mixture Returns [PDF]

Markowitz portfolio selection is challenged by huge implementation barriers. This paper addresses the parameter uncertainty and deviation from normality in a Bayesian framework. The non-normal asset returns are modeled as finite Gaussian mixtures.
Qian, Hang
core  

Self‐Assembled Lipids as Soft Dielectrics

Advanced Functional Materials, EarlyView.
Self‐assembled lipid bilayers serve as soft dielectric materials for ultrathin electronics. Using liquid‐metal parallel‐plate junctions, the capacitance and dielectric breakdown of dehydrated lipid films are characterized. Dielectric behavior is controlled by lipid molecular structure, cholesterol content, and assembly conditions, providing molecular ...
Hao Yang, Yiding Li, Jitong Ren, Yu Shi, Charles M. Schroeder   +4 more
wiley   +1 more source

Incremental Learning of Temporally-Coherent

, 2005
In this paper we address the problem of learning Gaussian Mixture Models (GMMs) incrementally. Unlike previous approaches which universally assume that new data comes in blocks representable by GMMs which are then merged with the current model ...
Roberto Cipolla, Ognjen Arandjelović, Gaussian Mixture Models   +2 more
core  

Gaussian mixture based semi supervised boosting for imbalanced data classification

, 2017
Semi supervised approaches are practical in problem domain where pattern clustering is supposed to provide good classification. Gaussian Mixture Model (GMM) can approximate arbitrary probability distribution, thus is considered as a dominant tool for ...
Paul, MK, Pal, B
core   +1 more source

Spin Dynamics in the van der Waals Ferromagnet CrTe2 Engineered by Niobium Doping

Advanced Functional Materials, EarlyView.
Spin‐dynamic magnetic properties of van der Waals (vdW) ferromagnet 1T‐CrTe2 are tuned via niobium (Nb) as Cr1‐xNbxTe2 (x = 0–0.2). Nb doping enables wide‐band tuning of the resonance frequency from 40 GHz down to the few‐GHz regime, accompanied by a moderate increase in the Gilbert damping from ∼0.066 to ∼0.14.
Dhan Raj Lawati, Prem Bahadur Karki, Jitender Kumar, Karishma Prasad, Mohamed A. Elekhtiar, Kai Huang, Bibek Tiwari, Suvechhya Lamichhane, Rupak Timalsina, Zane Hubble, Ayodimeji E. Aregbesola, John Watt, Sy‐Hwang Liou, Evgeny Y. Tsymbal, Jian Wang, Kapildeb Ambal, Abdelghani Laraoui   +16 more
wiley   +1 more source

Functional Differentiation of Type II and Type I Collagen Articular Models in Synovial Fluid Film Formation and Recombinant Equine Lubricin Retention

Advanced Functional Materials, EarlyView.
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto, Nicolas L. Mendoza, Syeda Tajin Ahmed, Yidan Wen, Lenka Vitkova, Spencer M. Witt, Kaleb A. Cutter, Ummay Honey, Matthew J. Paszek, Heidi L. Reesink, Lawrence J. Bonassar, Kevin De France, Roberto C. Andresen Eguiluz   +12 more
wiley   +1 more source

Engineering Local Polar Frustration in Lead‐Free Dielectric Ceramics for Ultrahigh Normalized Energy Storage Performance

Advanced Functional Materials, EarlyView.
Local polar frustration is engineered to stabilize an ergodic relaxer through nanoscale multiphase coexistence, suppressing long‐range ferroelectric order while preserving high polarization. This strategy delivers ultrahigh low‐field normalized energy density (Wa >0.020 mC cm−2), exceptional thermal stability, and a transferable design principle for ...
Hareem Zubairi, Muhammad Wasim, Songhao Fu, Xiaojiao Liu, Annette K Kleppe, Zhilun Lu, Antonio Feteira, Diming Xu, Joseph C.A. Prentice, Ge Wang   +9 more
wiley   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

Advanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen, Xudan Xing, Haopu Su, Dominik Voll, Xiaohe Xu, Jiafeng Wan, Tongtong Cui, Christian W. Schmitt, Stefan Bräse, Peng Li, Patrick Théato   +10 more
wiley   +1 more source