2 papers
physics.chem-ph2025
Metatensor and metatomic: foundational libraries for interoperable atomistic machine learning
Filippo Bigi, Joseph W. Abbott, Philip Loche +12
Incorporation of machine learning (ML) techniques into atomic-scale modeling has proven to be an extremely effective strategy to improve the accuracy and reduce the computational c…
physics.chem-ph2025
Compositional Analysis of Fragrance Accords Using Femtosecond Thermal Lens Spectroscopy
Rohit Goswami, Ashwini Kumar Rawat, Sonaly Goswami +1
Femtosecond thermal lens spectroscopy (FTLS) is a powerful analytical tool, yet its application to complex, multi-component mixtures like fragrance accords remains limited. Here, w…