Architecture design of the high-throughput compensator and interpolator for the H.265/HEVC encoder [PDF]
, 2014 Grzegorz Pastuszak, Maciej Trochimiuk
openalex +1 more source
Pipeline for Automating Compliance-based Elimination and Extension (PACE2): A Systematic Framework for High-throughput Biomolecular Material Simulation Workflows [PDF]
, 2022 Srinivas Mushnoori +7 more
openalex +1 more source
Advanced Functional Materials, EarlyView.This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source
High precision, high throughput generation of droplets containing single cells [PDF]
, 2022 Jiande Zhou +3 more
openalex +1 more source
Advanced Functional Materials, EarlyView.Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim +8 more
wiley +1 more source
Influencing Factors and Optimization of Coal Fines Transportability in Mine Borehole Screen Pipes. [PDF]
ACS OmegaZhang X +6 more
europepmc +1 more source
Device Integration Technology for Practical Flexible Electronics Systems
Advanced Functional Materials, EarlyView.Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
Energy efficient transactions for blockchain networks using adaptive global best-worst particle swarm optimization. [PDF]
Sci RepJhariya MK +3 more
europepmc +1 more source
A model-based high throughput method for fecundity estimation in fruit fly studies [PDF]
, 2018 Enoch Ng’oma +2 more
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source