Results 71 to 80 of about 204,063 (261)
Exploring Quality Evaluation of Innovation and Entrepreneurship Education in Higher Institutions Using Deep Learning Approach and Fuzzy Fault Tree Analysis. [PDF]
Front Psychol, 2021 Wang C +5 more
europepmc +1 more source
FMEA and FTA Analyses of the Adhesive Joining Process using Electrically Conductive Adhesives [PDF]
, 2017 This paper introduces a formulation of appropriate risk estimation methods that can be used for improving of processes in the electronics area. Two risk assessment methods have been chosen with regard to the specifics of adhesive joining based on ...
Mach , P., Povolotskaya , E.
core
Advanced Functional Materials, EarlyView.This review provides an in‐depth understanding of all theoretical reaction mechanisms to date concerning zinc–iodine batteries. It revisits the inherent issues and solutions of zinc–iodine batteries from the perspective of industrial application. By integrating existing examples of energy storage applications, it identifies the challenges faced on the ...
Haokun Wen +10 more
wiley +1 more source
Analysis of the impact of a pandemic on the control of the process safety risk in major hazards industries using a Fault Tree Analysis approach. [PDF]
J Loss Prev Process Ind, 2022 Ashraf AM, Imran W, Véchot L.
europepmc +1 more source
Fault tree analysis and artificial neural network modelling for establishing a predictive ship machinery maintenance methodology [PDF]
, 2017 A dynamic fault tree model for a ship main engine is developed in order to analyse and identify critical systems/components of the main engine. The identified most critical systems are then used as input in an artificial neural network. An autoregressive
Lazakis, I, Raptodimos, Y
core
Advanced Functional Materials, EarlyView.Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This study proposes a sustainable solution for rainwater‐driven energy harvesting by harnessing the intrinsic properties of lignin in wood. The first demonstration of an all‐wood tribonegative material for liquid–solid triboelectric nanogenerators is presented, eliminating the need for fluorine‐containing polymers and functional additives. Abstract The
Xuetong Shi +8 more
wiley +1 more source
Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties
Advanced Functional Materials, EarlyView.This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto +8 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.AIMSPec‐LoC is a novel lab‐on‐a‐chip platform integrating size‐based extracellular vesicle (EVs) separation with label‐free Raman spectroscopy and AI‐powered classification via SKiNET. This high‐throughput, portable system enables real‐time, multiplexed molecular fingerprinting of EVs from biofluids, offering transformative potential for early, non ...
Emma Buchan +3 more
wiley +1 more source