output
20192024
most citedMachine Learning Allows Calibration Models to Predict Trace Element Concentration in Soil with Generalized LIBS Spectra

101 citations

5 papers

physics.bio-ph2024★ 11 cited

AGuIX nanoparticle-nanobody bioconjugates to target immune checkpoint receptors

Léna Carmès, Guillaume Bort, François Lux +16

Comparison of click chemistry and sortagging grafting strategies for functionalizing AGuIX nanoparticles with nanobodies to develop a tri-functional technology combining MRI imagin…

cs.AI2023

Artificial Intelligence for reverse engineering: application to detergents using Raman spectroscopy

Pedro Marote, Marie Martin, Anne Bonhomme +2

The reverse engineering of a complex mixture, regardless of its nature, has become significant today. Being able to quickly assess the potential toxicity of new commercial products…

cond-mat.mtrl-sci2023★ 29 cited

Tuning ultrasmall theranostic nanoparticles for MRI contrast and radiation dose amplification

Needa Brown, Paul Rocchi, Léna Carmès +23

Background: The introduction of magnetic resonance (MR)-guided radiation treatment planning has opened a new space for theranostic nanoparticles to reduce acute toxicity while impr…

physics.med-ph2020★ 37 cited

Intercomparison of Monte Carlo calculated dose enhancement ratios for gold nanoparticles irradiated by X-rays: assessing the uncertainty and correct methodology for extended beams

H. Rabus, W. B. Li, C. Villagrasa +10

Results of a Monte Carlo code intercomparison exercise for simulations of the dose enhancement from a gold nanoparticle (GNP) irradiated by X-rays have been recently reported. To h…

physics.chem-ph2019★ 101 cited

Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soil with Generalized LIBS Spectra

Chen Sun, Ye Tian, Liang Gao +7

Calibration models have been developed for determination of trace elements, silver for instance, in soil using laser-induced breakdown spectroscopy (LIBS). The major concern is the…