Results 151 to 160 of about 61,199 (270)
BMEMat, EarlyView.This Perspective explores the emerging landscape of cell membrane‐coated nanoparticles (CM‐NPs) as intelligent, immune‐compatible platforms for cancer therapy. Highlighting design strategies, translational challenges, and competitive positioning, it outlines how integrating biomimetic targeting with advanced analytical and manufacturing tools could ...
A. K. M. M. Alam +4 more
wiley +1 more source
Fluorescent Diarylethenes With Polar Groups: Synthesis, Spectra, and Optical Microscopy Applications
Chemistry – A European Journal, EarlyView.Blinking green and flashing red: photo‐switchable and photo‐activatable probes emitting green and red light were prepared and applied as bioconjugates in super‐resolution optical microscopy. ABSTRACT The use of photoactivatable fluorescent diarylethenes (fDAEs) in biology‐related light microscopy has been restricted by the lack of probes having freely ...
Kakishi Uno +6 more
wiley +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
Chemie Ingenieur Technik, EarlyView.This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
The stochastic thermodynamics of a rotating Brownian particle in a gradient flow. [PDF]
Sci Rep, 2015 Lan Y, Aurell E.
europepmc +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Hydrogen plays a crucial role across multiple industrial sectors and is increasingly recognized as a clean energy carrier with significant potential in decarbonization efforts. Methane pyrolysis (MP), particularly using molten metal catalysts, offers a promising pathway for hydrogen production with low CO2 emissions.
Adrian Paredes Bozzo, Zukui Li
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Is stochastic thermodynamics the key to understanding the energy costs of computation? [PDF]
Proc Natl Acad Sci U S AWolpert DH +18 more
europepmc +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source