Thermo Avantage Xps Software 24 -
It is crucial to view Thermo Avantage XPS Software 24 not as an endpoint, but as a platform. Thermo Fisher has announced a quarterly update cycle (v24.2, v24.3, etc.) that will introduce new machine learning models for peak identification. Future updates will include a "Spectrum Suggest" feature, where you can type a chemical formula (e.g., "LiNi0.8Mn0.1Co0.1O2") and the software will generate a synthetic spectrum and fitting template before you even run the experiment.
Let’s walk through a typical use case: analyzing the surface oxidation of a lithium-ion battery cathode (NMC811).
Step 1: Data Acquisition The Nexsa XPS system, running Avantage 24, acquires survey spectra (0-1200 eV) and high-resolution spectra of Ni 2p, Co 2p, Mn 2p, and O 1s. Version 24’s SnapMap feature automatically identifies the analysis area from the optical image. Thermo Avantage Xps Software 24
Step 2: Automatic Peak Identification Within 5 seconds, Avantage 24’s AI engine labels all major peaks. It flags a small F 1s peak (contamination) and a large C 1s peak (adventitious carbon). The user simply confirms the assignments.
Step 3: Chemical State Fitting The analyst selects the Ni 2p region. Version 24’s Smart Fitting suggests a 3-peak model: Ni(OH)2 (855.6 eV), NiO (854.1 eV), and a satellite. The analyst accepts the suggestion, and the software calculates the atomic percentages automatically. It is crucial to view Thermo Avantage XPS
Step 4: Quantification and Depth Profiling Using the Multi-Layer Model tool, the analyst imports data from a 5-minute argon cluster ion sputter depth profile. Avantage 24 reconstructs the layer structure, showing that the NiO layer is 2.1 nm thick, with a mixed oxide layer extending to 5 nm.
Step 5: Reporting With a single click, the software generates a compliance-ready PDF report containing: Total time: 12 minutes
Total time: 12 minutes. In previous software versions, this workflow would take over an hour.
No software is perfect. Before upgrading to Thermo Avantage XPS Software 24, consider the following: