Latest Articles for Chemical Engineering

Advancing chemical reactor design through multi-fidelity simulations to improve efficiency.

Research reveals how materials shrink or expand based on temperature.

This article focuses on control methods for two-fluid systems in fluid dynamics.

Research reveals insights into how polymers navigate through varied channel structures.

New insights into RO membranes improve water purification methods.

Discover how DTT affects MGapt fluorescence in cell-free protein synthesis systems.

Small changes in nanoporous materials affect water behavior for energy storage and chromatography.

Researchers unveil novel electronic properties of a 2D kagome MOF.

This study connects thermal conductivity and sound speed in various liquids.

Enhancing mixing efficiency in reactors to lower costs and improve quality.

Exploring how liquids interact with surfaces impacts various industries.

Understanding how different fluids behave in porous materials.

New methods enhance the prediction of activity coefficients in liquid mixtures using machine learning.

Study reveals key factors affecting fluid flow stability in varying temperature and concentration environments.

A new method improves modeling of potential energy surfaces in atomistic simulations.

Exploring heat transfer behavior in concentrated emulsions and its technological impacts.

Research reveals new ways chemical patterns influence fluid movement.

Introducing two models for creating advanced crystal materials for energy applications.

Exploring the potential of quantum neural networks in chemical and pharmaceutical research.

Exploring how chemical reactions impact soft materials for innovative applications.

A study reveals promising tin alloys with potential applications in technology.

New methods enhance understanding of fluid mixtures with multiple components.

Investigating charge ordering and structural effects on superconductivity in nickelates.

This study enhances fluid mixing methods using dynamic boundary control strategies.

Study validates lattice Boltzmann method for improved gas flow understanding in reactors.

Research explores unique magnetic behaviors of vacancy-ordered antifluorites KReC, KOsC, and KIrC.

Exploring the role of ionic liquids in creating effective metal nanoparticles.

Improved methods enhance understanding of chemical bonding, especially in heavy elements.

Research explores graphene membranes for efficient separation of water and methanol.

Improving predictions for carbon capture and oil recovery through better modeling techniques.

Exploring lithium sulfide compounds for improved battery technology and energy storage solutions.

A look into the behavior of fluid interfaces and their implications.

Using neural networks can enhance predictions in hydrogen combustion processes.

Machine learning improves predictions of formation energy for various compounds.

Researchers create a graphene-nanotube hybrid that effectively traps hydrocarbons.

This study focuses on how droplets evaporate inside tubes and their key factors.

Researchers leverage machine learning to improve zeolite synthesis methods and outcomes.

Nanomotors display unique behaviors influenced by complex chemical patterns.

New reactor designs improve mixing and heat transfer efficiency.

Examining how water-glycerol mixtures behave on surfaces and their practical applications.