Our Publications
INSANE promotes AI-enabled interdisciplinary alliances by providing mentoring and guidance to scientists, researchers, and professionals, while also acting as a liaison between different fields of study and knowledge.
-
A data-lean machine learning approach for damage extent estimation and classification in composite structures under multiple failure modes
Dimitrios Iason Papadopoulos, George Giannakopoulos, Vangelis Karkaletsis and Christoforos Rekatsinas*
-
Time Response of Delaminated Active Sensory Composite Beams Assuming Non-Linear Interfacial Effects
Nikolaos Chrysochoidis, Christoforos Rekatsinas, Dimitris Saravanos
-
Bio-inspired discontinuous composite materials with a machine learning optimized architecture
Theodoros Loutas, Athanasios Oikonomou, Christoforos Rekatsinas
-
A Physics Constrained Machine Learning Pipeline for Young’s Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics
Christoforos Rekatsina, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos
-
Physics-Informed Neural Networks without Loss Balancing: A Direct Term Scaling Approach for Nonlinear 1D Problems
Theodosios Theodosiou, Christoforos Rekatsinas
-
Navigating materials design spaces with efficient Bayesian optimization: a case study in functionalized nanoporous materials
Panagiotis Krokidas, Vassilis Gkatsis, John Theocharis, George Giannakopoulos
-
Density-Aware Active Learning for Materials Discovery: A Case Study on Functionalized Nanoporous Materials
Vassilis Gkatsis, Petros Maratos, Christoforos Rekatsinas, George. Giannakopoulos and Panagiotis Krokidas
-
A data-lean machine learning approach for damage extent estimation and classification in composite structures under multiple failure modes
Dimitrios Iason Papadopoulos, George Giannakopoulos, Vangelis Karkaletsis and Christoforos Rekatsinas
-
Molecular Simulation of Coarse-grained Systems using Machine Learning
Dimitrios-Paraskevas Gerakinis, Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis, Doros N. Theodorou, Niki Vergadou,
