Results 71 to 80 of about 48,774 (262)

Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites

open access: yesAdvanced Functional Materials, EarlyView.
A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim   +13 more
wiley   +1 more source

Applications of discrete-event simulation to reliability and availability assessment in civil engineering structures

open access: yes, 2009
This paper discusses the convenience of predicting, quantitatively, time-dependent reliability and availability levels associated with most building or civil engineering structures.
Monteforte, Arai   +4 more
core   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

.9 Simulation

open access: yes, 1997
INTRODUCTION Simulation is a technique for numerically estimating the performance of a complex stochastic system when analytic solution is not feasible [LaKe91, Sc90]. This section discusses both discrete-event and Monte Carlo simulation techniques.
Glossary Discrete-Event
core  

The treatment of time in distributed simulation [PDF]

open access: yes, 1990
Simulation is one of the most important tools to analyse, design, and operate complex processes and systems. Simulation allows us to make a 'trial and error' in order to understand a system and describe a problem.
Ryang, Nue Chille
core  

3D Printing Innovations in Polymeric Porous and Patterned Architecture

open access: yesAdvanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil   +13 more
wiley   +1 more source

Nanoengineered Binetworks in Multifunctional Anionic Block Polymer Mesoblends for Improved Mechanical Properties

open access: yesAdvanced Functional Materials, EarlyView.
Mesoblends consist of a nanostructured polymer into which a second polymer is imbibed with a selective solvent. In this work, a solvent‐templatable pentablock terpolymer possessing a sulfonated midblock is modified with a hydrophilic polymer that is photocrosslinked in situ, yielding a hierarchical binetwork.
Kacie M. Wells   +3 more
wiley   +1 more source

Chiral Phase Change Nanomaterials

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow   +11 more
wiley   +1 more source

Co-simulation of Event-B and Ptolemy II Models via FMI [PDF]

open access: yes, 2014
In the framework of model-based design formal modelling, verification and simulation of safety-critical systems are supported by several methods and tools. Interfacing these tools often becomes challenging for heterogeneous systems.
Savicks, Vitaly   +3 more
core  

Learning from discrete-event simulation: exploring the high involvement hypothesis

open access: yes, 2014
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating that involving clients in model building provides much of the learning necessary to aid their decisions. Whilst practitioners of simulation may intuitively
Monks, T., Kotiadis, K., Robinson, S.
core   +1 more source

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