default author photo

Thierry Belmonte

University of Lorraine

SCHOLARLY PAPERS

5

DOWNLOADS

159

TOTAL CITATIONS

1

Scholarly Papers (5)

1.

Non-Thermal Plasma Etching of Mof Thin Films in High Optical Quality for Interference Sensing

Number of pages: 5 Posted: 11 Jan 2024
ITMO University, ITMO University, ITMO University, ITMO University, University of Lorraine, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Lorraine
Downloads 51 (1,052,702)
Citation 1

Abstract:

Loading...

Metal-organic framework, thin film, plasma post processing, roughness, optical sensing

2.

Why Price Signals Fail for By-Products: An Intrinsic Inelasticity Risk Metric for Companion Metals

Number of pages: 59 Posted: 28 Jan 2026
affiliation not provided to SSRN, University of Lorraine, University of Lorraine and University of Lorraine
Downloads 38 (1,222,651)

Abstract:

Loading...

Critical raw materials, companion metals, by-product dependence, perceived elasticity, supply risk, price risk

3.

Non-Thermal Plasma Etching of Mof Thin Films in High Optical Quality

Number of pages: 5 Posted: 19 Sep 2023
ITMO University, ITMO University, affiliation not provided to SSRN, ITMO University, ITMO University, affiliation not provided to SSRN, University of Lorraine and University of Lorraine
Downloads 34 (1,263,436)

Abstract:

Loading...

non-thermal plasma, optical quality, metal-organic framework, thin film

4.

Synthesis and Growth Mechanism of Bi2o2co3 Nanosheets by Pulsed Discharges in Liquids

Number of pages: 31 Posted: 24 Jun 2024
affiliation not provided to SSRN, Lomonosov Moscow State University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Lorraine - CNRS, Institut Jean Lamour (IJL), University of Lorraine, affiliation not provided to SSRN, ITMO University and University of Lorraine
Downloads 19 (1,459,862)

Abstract:

Loading...

Discharges in liquids, Nanoobjects, growth mechanism, non-equilibrium, nanowalls, nanosheets

5.

Inverse Design of High-Entropy Superalloys Using Machine Learning and Generative Artificial Intelligence

Number of pages: 61 Posted: 06 Mar 2026
University of Lorraine, University of Lorraine, University of Lorraine and University of Lorraine
Downloads 17 (1,481,165)

Abstract:

Loading...

materials discovery, inverse design, high-entropy superalloys, multi-objective optimization, machine learning surrogates, conditional variational autoencoder