☆ 4.6 Article

Machine learning-based ethylene concentration estimation, real-time optimization and feedback control of an experimental electrochemical reactor

CHEMICAL ENGINEERING RESEARCH & DESIGN (2022)

Related references

Note: Only part of the references are listed.

Article Nanoscience & Nanotechnology

Scalable Gas Diffusion Electrode Fabrication for Electrochemical CO2 Reduction Using Physical Vapor Deposition Methods

Emily Jeng et al.

Summary: This study systematically investigated the effect of thickness and morphology of Cu catalyst coatings on electrochemical CO2 reduction (ECR) performance. The results showed that electron beam (EB) Cu outperformed magnetron-sputtered (MS) Cu in terms of current density, selectivity, and energy efficiency, with 400 nm thick catalyst coatings performing the best. The superior performance of EB-Cu catalysts was attributed to their faceted surface morphology and sharper Cu/gas diffusion layer interface.

ACS APPLIED MATERIALS & INTERFACES (2022)

Add to Collection

Article Instruments & Instrumentation

Self-Optimization of Continuous Flow Electrochemical Synthesis Using Fourier Transform Infrared and Gas Chromatography

Jie Ke et al.

Summary: A continuous-flow electrochemical synthesis platform has been developed for self-optimization of organic electrochemical reactions using ATR FT-IR and GC as monitoring techniques. Two types of gas-liquid separators were designed to overcome challenges in using ATR FT-IR for downstream analysis when a large amount of hydrogen gas is produced. This approach provides a reliable method for quantifying low-volatile analytes and optimizing reaction conditions without operator intervention.

APPLIED SPECTROSCOPY (2022)

Add to Collection

Review Chemistry, Multidisciplinary

Advances and Challenges for the Electrochemical Reduction of CO2 to CO: From Fundamentals to Industrialization

Song Jin et al.

Summary: The electrochemical carbon dioxide reduction reaction is an important pathway for converting renewable electricity into fuels and feedstocks, with the conversion of CO2 into CO being a promising reaction. Advancements in catalyst and electrolyte design, along with understanding the catalytic mechanism, are crucial for promoting the technology towards industrial implementation. However, there are still challenges and future directions for the industrial application of this technology.

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2021)

Add to Collection

Article Engineering, Chemical

Effect on electrochemical reduction of nitrogen to ammonia under ambient conditions: Challenges and opportunities for chemical fuels

Lijuan Niu et al.

Journal of Energy Chemistry (2021)

Add to Collection

Article Energy & Fuels

A Data-Driven Framework for the Accelerated Discovery of CO2 Reduction Electrocatalysts

Ali Malek et al.

Summary: In the search for next-generation electrocatalyst materials for electrochemical energy technologies, finding more active, selective, and stable materials for the CO2 reduction reaction is challenging and time-consuming. A material recommendation and screening framework has been introduced to recommend viable materials and reveal relevant correlations governing catalyst performance under different temperature conditions.

FRONTIERS IN ENERGY RESEARCH (2021)

Add to Collection

Article Chemistry, Physical

Machine Learning Investigation of Supplementary Adsorbate Influence on Copper for Enhanced Electrochemical CO2 Reduction Performance

Donghuan Wu et al.

Summary: This study combines machine learning with density functional theory calculations to investigate the influence of supplementary adsorbates on the production of methane and C2+ in the CO2 reduction reaction on copper surface. By accurately screening 289 adsorbate-pair combinations, the research identifies unique combinations that enhance methane and C2+ production on copper, demonstrating the efficacy of using machine learning as an efficient tool for large combinatory systems in energy-related applications.

JOURNAL OF PHYSICAL CHEMISTRY C (2021)

Add to Collection

Review Multidisciplinary Sciences

What would it take for renewably powered electrosynthesis to displace petrochemical processes?

Phil De Luna et al.

SCIENCE (2019)

Add to Collection

Article Chemistry, Physical

Directing Selectivity of Electrochemical Carbon Dioxide Reduction Using Plasmonics

Erin B. Creel et al.

ACS ENERGY LETTERS (2019)

Add to Collection

Review Chemistry, Multidisciplinary

Progress and Perspectives of Electrochemical CO2 Reduction on Copper in Aqueous Electrolyte

Stephanie Nitopi et al.

CHEMICAL REVIEWS (2019)

Add to Collection

Article Chemistry, Physical

Cost Competitiveness of Electrolytic Hydrogen

Omar J. Guerra et al.

JOULE (2019)

Add to Collection

Article Chemistry, Physical

Surface Reconstruction of Polycrystalline Cu Electrodes in Aqueous KHCO3 Electrolyte at Potentials in the Early Stages of CO2 Reduction

Youn-Geun Kim et al.

ELECTROCATALYSIS (2018)

Add to Collection

Article Electrochemistry

On the Electrochemical CO2 Reduction at Copper Sheet Electrodes with Enhanced Long-Term Stability by Pulsed Electrolysis

Andreas Engelbrecht et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)

Add to Collection

Article Engineering, Chemical

NOX Emission Model for Coal-Fired Boilers Using Principle Component Analysis and Support Vector Regression

Peng Tan et al.

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (2016)

Add to Collection

Article Electrochemistry

Manipulating the Hydrocarbon Selectivity of Copper Nanoparticles in CO2 Electroreduction by Process Conditions

Recep Kas et al.

CHEMELECTROCHEM (2015)

Add to Collection

Article Electrochemistry

Efficient electrochemical CO2 reduction on a unique chrysanthemum-like Cu nanoflower electrode and direct observation of carbon deposite

Jia-Fang Xie et al.

ELECTROCHIMICA ACTA (2014)

Add to Collection

Article Chemistry, Multidisciplinary

The Evolution of the Polycrystalline Copper Surface, First to Cu(111) and Then to Cu(100), at a Fixed CO2RR Potential: A Study by Operand EC-STM

Youn-Geun Kim et al.

LANGMUIR (2014)

Add to Collection

Article Engineering, Chemical

Data-driven models of steady state and transient operations of spiral-wound RO plant

Xavier Pascual et al.

DESALINATION (2013)

Add to Collection

Article Computer Science, Artificial Intelligence

Gradient boosting trees for auto insurance loss cost modeling and prediction

Leo Guelman

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Add to Collection

Article Statistics & Probability

The Bayesian Lasso

Trevor Park et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)

Add to Collection

Article Computer Science, Software Engineering

On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

A Wachter et al.

MATHEMATICAL PROGRAMMING (2006)

Add to Collection

Article Electrochemistry

Deactivation of copper electrode in electrochemical reduction of CO2

Y Hori et al.

ELECTROCHIMICA ACTA (2005)

Add to Collection

Review Automation & Control Systems

An introduction to decision tree modeling

AJ Myles et al.

JOURNAL OF CHEMOMETRICS (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.