A sequential Monte Carlo algorithm for inference of subclonal structure in cancer. [PDF]
PLoS One, 2019 Ogundijo OE +3 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate
Advanced Electronic Materials, EarlyView.Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino +14 more
wiley +1 more source
Calibrating the Discrete Boundary Conditions of a Dynamic Simulation: A Combinatorial Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) Approach. [PDF]
Sensors (Basel)Shamas J +7 more
europepmc +1 more source
Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons. [PDF]
PLoS One, 2019 Li K, Ditlevsen S.
europepmc +1 more source
Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
networksis: A Package to Simulate Bipartite Graphs with Fixed Marginals Through Sequential Importance Sampling [PDF]
The ability to simulate graphs with given properties is important for the analysis of social networks. Sequential importance sampling has been shown to be particularly effective in estimating the number of graphs adhering to fixed marginals and in ...
Ryan Admiraal, Mark S. Handcock
core
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
Advanced Energy Materials, EarlyView.This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
Advanced Energy Materials, EarlyView.This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Real-Time Epidemiology and Acute Care Need Monitoring and Forecasting for COVID-19 via Bayesian Sequential Monte Carlo-Leveraged Transmission Models. [PDF]
Int J Environ Res Public HealthLi X +5 more
europepmc +1 more source