2 citations · 2 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2023
Machine learning for structure-guided materials and process design
Lukas Morand, Tarek Iraki, Johannes Dornheim +3
In recent years, there has been a growing interest in accelerated materials innovation in the context of the process-structure-property chain. In this regard, it is essential to ta…
cond-mat.mtrl-sci2023
Neural Networks for Constitutive Modeling -- From Universal Function Approximators to Advanced Models and the Integration of Physics
Johannes Dornheim, Lukas Morand, Hemanth Janarthanam Nallani +1
Analyzing and modeling the constitutive behavior of materials is a core area in materials sciences and a prerequisite for conducting numerical simulations in which the material beh…
cs.LG2022★ 2 cited
gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach
Johannes Dornheim
In real-world decision optimization, often multiple competing objectives must be taken into account. Following classical reinforcement learning, these objectives have to be combine…