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HESAM Université | Researchclopedia

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HESAM Université

Paris, Île-de-Franceeducation

2,620

Works

63,857

Citations

80

h-index

Top Research Topics

Additive Manufacturing Materials and Processes Additive Manufacturing and 3D Printing Technologies Manufacturing Process and Optimization

Top Researchers

C. George Université Claude Bernard Lyon 1

1,028 works55,878 citationsh-index: 113

Recent Research

Development of a digital twin for real-time 3D temperature field monitoring: Application to the Jominy end-quench test

Aya MIDAOUI,Cyrille Baudouin,et al.

20260 citations

Composite Material Mechanics

Polymer crystallization and properties

Advanced machining processes and optimization

Virtual Reality Applications and Impacts

Metal Forming Simulation Techniques

Metallurgy and Material Forming

Mechanical Behavior of Composites

Welding Techniques and Residual Stresses

Composite Structure Analysis and Optimization

2,413 works50,794 citationsh-index: 84

Jean Martínez Centre National de la Recherche Scientifique

1,424 works27,785 citationsh-index: 75

Reza Tavakkoli‐Moghaddam University of Tehran

939 works23,485 citationsh-index: 75

Javier Crespo Madrid Institute for Advanced Studies

884 works21,393 citationsh-index: 64

Olivier Traxer Centre National de la Recherche Scientifique

769 works17,123 citationsh-index: 64

Buckling behavior of 3D-printed Beetle Elytron-inspired cellular structures with regular and auxetic honeycomb cores: Experimental and numerical study

M. Belhadjamor,M. Ben Bettaieb,et al.

20260 citations

Deep learning-based wind estimation from multirotor UAV telemetry

César García-Gascón,Pablo Castelló-Pedrero,et al.

20260 citations

Sexual Function After Kidney Transplantation in Men and Women : A Narrative Review

Mikael Abi Abdallah,Maxime Vallee,et al.

20260 citations

Exploring fatigue life scatter in high pressure die cast AlSi9Cu3 using LEFM and in situ DIC

Thomas Landron,Linamaria Gallegos Mayorga,et al.

20260 citations

ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data

Medad Chiedozie C. Monu,Éanna McCarthy,et al.

20260 citations