Results 111 to 120 of about 12,651,285 (254)
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
Approximation in stochastic integer programming [PDF]
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate ...
Vlerk, Maarten H. van der, Stougie, Leen
core
The liposome nanoreactor method enables uniform metal nanoparticle synthesis using the interior as a reaction environment. We demonstrate that peptide sequences and lipid compositions act as a functional molecular switch to control reaction environments in liposome nanoreactors.
Yuya Abe +6 more
wiley +1 more source
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang +16 more
wiley +1 more source
Projection schemes for stochastic partial differential equations
The focus of the present work is to develop stochastic reduced basis methods (SRBMs) for solving partial differential equations (PDEs) defined on random domains and nonlinear stochastic PDEs (SPDEs).
Prerapa, Surya Mohan
core +1 more source
GillespieSSA: Implementing the Gillespie Stochastic Simulation Algorithm in R [PDF]
The deterministic dynamics of populations in continuous time are traditionally described using coupled, first-order ordinary differential equations. While this approach is accurate for large systems, it is often inadequate for small systems where key ...
Mario Pineda-Krch
core
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
We consider uniformly elliptic coefficient fields that are randomly distributed according to a stationary ensemble of a finite range of dependence. We show that the gradient and flux (∇ϕ,a(∇ϕ+e)) of the corrector ϕ, when spatially averaged over a scale R≫
Gloria, Antoine, Otto, Felix
core
Load Distributing Metamaterials Via Discrete Optimization
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry +6 more
wiley +1 more source
Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang +7 more
wiley +1 more source

