1. Three-Terminal Memristors: Enabling Dynamic Tunability at the Atomic-Scale 

   Lewerenz, Mila (2024)

   Doctoral Thesis

2. Physics based models for characterization of machining performance – A critical review 

   Attia H.; Sadek A.; Altintas Y.; et al. (2024)

   CIRP Journal of Manufacturing Science and Technology

   This paper presents a comprehensive review of the concept of machinability by considering the dynamic, tribological, and thermo-mechanical interactions encountered at the tool-chip-machined surface interfaces. The paper provides a demonstration of the capabilities and gaps of the physics-based models for the characterization of the machining performance and the prediction of machinability of difficult-to-cut materials, including additively ...

   Journal Article

3. This is SpArta: Rigorous Optimization of Regionally Resolved Energy Systems by Spatial Aggregation and Decomposition 

   Reinert C.; Nilges B.; Baumgärtner N.; et al. (2024)

   Applied Energy

   Energy systems with high shares of renewable energy are characterized by local variability and grid limitations. The synthesis of such energy systems, therefore, requires models with high spatial resolution. However, high spatial resolution increases the computational effort. Here, we present the SpArta method for rigorous optimization of regionally resolved energy systems by Spatial Aggregation and decomposition. SpArta significantly ...

   Journal Article

4. Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis 

   Moustapha M.; Parisi P.; Marelli S.; et al. (2024)

   Reliability Engineering and System Safety

   System reliability analysis aims at computing the probability of failure of an engineering system given a set of uncertain inputs and limit state functions. Active-learning solution schemes have been shown to be a viable tool but as of yet they are not as efficient as in the context of component reliability analysis. This is due to some peculiarities of system problems, such as the presence of multiple failure modes and their uneven ...

   Journal Article

5. Predicting cycling flows in cities without cycling data 

   Falbel, Eduardo B.; Meyer de Freitas, Lucas; Axhausen, Kay W.; et al. (2024)

   Cycling is a potential tool to mitigate many of the problems faced by urban populations today. Encouraging the use of bicycles as a legitimate mobility tool, however, demands adequate knowledge of current mobility patterns, such as locations of trip generation and attraction. Unfortunately, cities usually do not gather enough data to adequately understand cycling demand. We propose models based on spatial econometrics and gradient boosted ...

   Conference Paper

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