Results 151 to 160 of about 76,793 (306)
Emergent Spin Supersolids in Frustrated Quantum Materials
Advanced Materials, EarlyView.This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source
, 2014 The paper presents a new generalized framework for carrying out simulations of continuous-time stochastic processes by exploiting a discrete event approach. The application scope of this work mainly refers to industrial production processes executed on a
RONZONI , CHIARA +4 more
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Advanced Materials, EarlyView.A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
A theoretical framework for hybrid simulation in modelling complex patient pathways
, 2012 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Providing care services across several departments and care givers creates the complexity of the patient pathways, as it deals with different departments ...
Zulkepli, Jafri
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Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Engineering Strain‐Stiffening Granular Hydrogels for 3D‐Printed Tissue‐Mimicry
Advanced Materials, EarlyView.A 3D‐printable strain‐stiffening double‐network granular hydrogel (SDGH) enables independent, region‐specific tuning of toe (EToe) and heel (EHeel) moduli through control of microgel packing and network composition. This platform replicates tissue‐like nonlinear mechanics and allows fabrication of high‐fidelity, multilayered aortic valves with ...
Hyeokju Chae +9 more
wiley +1 more source
, 2010 High-performance micro-electro-mechanical systems (MEMS) sensors can be implemented by incorporating a micro-machined capacitive sensing element in a Sigma-Delta-Modulators force-feedback loop, forming an electro-mechanical Sigma-Delta Modulator (EM-SDM).
Kraft, Michael +2 more
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
How continuous is continuous enough? Comparing the reliability of continuous and discrete scales. [PDF]
Behav Res MethodsYang WH, Sung YT, Chou YT.
europepmc +1 more source
Competing methods for representing random taste heterogeneity in discrete choice models
This paper reports the findings of a systematic study using Monte Carlo experiments and a real dataset aimed at comparing the performance of various ways of specifying random taste heterogeneity in a discrete choice model.
Fosgerau, Mogens, Hess, Stephane
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