ACS Journal Finder

ACS Electrochemistry is an international forum for high-quality, cutting-edge original research in all areas of electrochemistry. The journal aspires to provide a platform for the diverse communities of scientists practicing electrochemistry to address global challenges. The journal welcomes submissions across fundamental, applied, experimental and theoretical aspects of electrochemistry research.

ACS Energy Letters is a monthly peer-reviewed journal that publishes new scientific advances in all aspects of energy research that are of interest to scientists working in the fundamental, and applied sciences. A central criterion to acceptance is that the paper reports sufficiently new results such that rapid publication is essential. 

The journal maintains one of the most rapid publication times in the field (average 4-6 weeks from submission to web publication in ASAP -As Soon As Publishable- format). ACS Energy Letters is currently ranked within the top 10 journals for the Web of Science Electrochemistry, Physical Chemistry, Energy & Fuels, and Nanoscience & Nanotechnology categories. 

Journal editors and staff routinely attend major scientific conferences, and are eager to discuss with readers and authors, and the journal maintains an active presence on social media. 

The following topics are examples within the scope of ACS Energy Letters:

• Storage Batteries and Supercapacitors
• Solar Cells (for example, Perovskite, Quantum Dots, Organic Photovoltaics and Tandem)
• Solar Fuels (Hydrogen, CO₂ and N₂ reduction) and Biofuels
• Energy Materials (Quantum Dots and Light Harvesting Assemblies)
• LED and Display Devices
• Fuel Cells and Redox Flow Batteries
• Photo- and Electro- Chemical/Catalytic Processes
• Desalination and Electrolyzers

Reviewers of ACS Energy Letters manuscripts will be asked the following questions:

• Is the manuscript likely to interest a substantial number of energy researchers, not just specialists working in the authors' specialized area of research?
• Are the conclusions adequately supported with appropriate data, control experiments, and statistics?

How does the manuscript rank in terms of urgency, significance, novelty, and scholarly presentation?

ACS Measurement Science Au is an open access journal publishing experimental, computational, or theoretical research in all areas of chemical measurement science. The journal welcomes work on any phase of analytical operations, including sampling, measurement, and data analysis. Papers dealing with established methods need to offer a significantly improved, original application of the method. Topics include:

• Chemical Reactions and Selectivity
• Chemometrics and Data Processing
• Electrochemistry
• Elemental and Molecular Characterization
• Imaging
• Instrumentation
• Mass Spectrometry
• Microscale and Nanoscale systems
• Omics (Genomics, Proteomics, Metabonomics, Metabolomics, and Bioinformatics)
• Sensors and Sensing (Biosensors, Chemical Sensors, Gas Sensors, Intracellular Sensors, Single-Molecule Sensors, Cell Chips, Arrays, Microfluidic Devices)
• Separations
• Spectroscopy
• Surface analysis

ACS Sensors is a peer-reviewed research journal that is devoted to the dissemination of new and original knowledge on all aspects of sensor science that selectively sense chemical or biological species or processes. Articles should address conceptual advances in sensing. Papers should demonstrate the use of the sensor in complex samples appropriate to the application, show it is fit-for-purpose, and exhibit a correlation of the sensor’s performance with an existing analytical method. Papers may focus on sensor development for commercialization or developing sensors that are used to provide new scientific knowledge.

Topics may include, but are not limited to:

• Biosensors
• Chemical sensors
• Gas sensors
• Intracellular sensors
• Single molecule sensors
• Protein engineering for sensing
• Cell chips
• Arrays
• Microfluidic devices
• Clinical applications
• Environmental sensing
• Instrumental in vivo imaging
• Novel transduction methods
• Machine learning in sensing
• Surface chemistry
• Material chemistry for sensing