Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Advanced Science, EarlyView.Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Computation of viscoelastic flow using neural networks and stochastic simulation
, 2002 A new technique for numerical calculation of viscoelastic flow based on the combination of Neural Networks (NN) and Brownian Dynamics simulation or Stochastic Simulation Technique (SST) is presented in this paper.
Tran, Canh-Dung, Tran-Cong, Thanh
core
spotter: a single-nucleotide resolution stochastic simulation model of supercoiling-mediated transcription and translation in prokaryotes. [PDF]
Nucleic Acids Res, 2023 Hacker WC, Elcock AH.
europepmc +1 more source
Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks
Advanced Science, EarlyView.Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley +1 more source
Efficient Simulation of Stochastic Well-formed Nets Through Symmetry Exploitation
, 2012 Stochastic Well-Formed Nets (SWN) is a High-Level Stochastic Petri Net formalism supporting performability analysis. The symbolic marking and firing notions in SWNs allow to automatically aggregate states achieving significant reductions in highly ...
Marco Beccuti +1 more
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Stochastic simulation of successive waves of COVID-19 in the province of Barcelona. [PDF]
Infect Dis Model, 2023 Bosman M +12 more
europepmc +1 more source
Advanced Science, EarlyView.A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley +1 more source
Forecasting Romanian Financial System Stability using a Stochastic Simulation Model [PDF]
The aim of this paper is to develop an aggregate stability index for the Romanian financial system, which is meant to enhance the set of analysis used by authorities to assess the financial system stability.
Claudiu Tiberiu Albulescu
core
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling. [PDF]
Int J Environ Res Public Health, 2022 Hadid M +7 more
europepmc +1 more source