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Hermans, Floris (author)
The demand in global trade of goods is thriving in the recent post-COVID times and is forecast to increase to the highest levels of the past decade. This calls for global transportation companies to implement increasingly efficient and highly optimized transportation processes to fulfill both demand and their need for economic and environmental...
master thesis 2023
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Martorelli, Luca (author)
The use of CFD-based optimizations is becoming a standard for turbomachinery design. Although the use of such optimizations can lead to great improvements of the machine performances, there are still several shortcomings in the common design procedure of turbomachines. In fact, this entails the optimization of the component shape, and only a...
master thesis 2023
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Stein, Alexander (author), Salvioli, M. (author), Garjani, Hasti (author), Dubbeldam, J.L.A. (author), Viossat, Yannick (author), Brown, Joel S. (author), Staňková, K. (author)
Stackelberg evolutionary game (SEG) theory combines classical and evolutionary game theory to frame interactions between a rational leader and evolving followers. In some of these interactions, the leader wants to preserve the evolving system (e.g. fisheries management), while in others, they try to drive the system to extinction (e.g. pest...
journal article 2023
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Belli, I. (author), Joshi, S.D. (author), Prendergast, J.M. (author), Beck, I.L.Y. (author), Della Santina, C. (author), Peternel, L. (author), Seth, A. (author)
The complexity of the human shoulder girdle enables the large mobility of the upper extremity, but also introduces instability of the glenohumeral (GH) joint. Shoulder movements are generated by coordinating large superficial and deeper stabilizing muscles spanning numerous degrees-of-freedom. How shoulder muscles are coordinated to stabilize...
journal article 2023
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Ferranti, L. (author), Lyons, L. (author), Negenborn, R.R. (author), Keviczky, T. (author), Alonso-Mora, J. (author)
This work presents a method for multi-robot coordination based on a novel distributed nonlinear model predictive control (NMPC) formulation for trajectory optimization and its modified version to mitigate the effects of packet losses and delays in the communication among the robots. Our algorithms consider that each robot is equipped with an...
journal article 2023
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Shahedi, Alireza (author), Gallo, Federico (author), Saeednia, M. (author), Sacco, Nicola (author)
This paper addresses the problem of optimizing the transport of goods in the Physical Internet (PI) framework in a multi-modal setting using a multi-objective mixed-integer linear programming (MILP) approach. The model is specifically designed to meet the requirements related to modular shipments and PI-hubs, and in particular, determines the...
journal article 2023
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Martinez-Piazuelo, Juan (author), Ananduta, W. (author), Ocampo-Martinez, Carlos (author), Grammatico, S. (author), Quijano, Nicanor (author)
We consider a large population of decision makers that choose their evolutionary strategies based on simple pairwise imitation rules. We describe such a dynamic process by the replicator dynamics. Differently from the available literature, where the payoffs signals are assumed to be updated continuously, we consider a more realistic scenario...
journal article 2023
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Ojo, Adebayo (author), Collu, Maurizio (author), Coraddu, A. (author)
The drive for the cost reduction of floating offshore wind turbine (FOWT) systems to the levels of fixed bottom foundation turbine systems can be achieved with creative design and analysis techniques of the platform with free-form curves to save numerical simulation time and minimize the mass of steel (cost of steel) required for design. This...
journal article 2023
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van der Werf, Job (author), Kapelan, Z. (author), Langeveld, J.G. (author)
Model Predictive Control (MPC) of Urban Drainage Systems (UDS) has been established as a cost-effective method to reduce pollution. However, the operation of large UDS (containing over 20 actuators) can only be optimized by oversimplifying the UDS dynamics, potentially leading to a decrease in performance and reduction in users' trust, thus...
journal article 2023
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Wiltink, T.J. (author), Yska, Stijn (author), Ramirez, Andrea (author), Pérez-Fortes, Mar (author)
Electrochemical reduction of CO2 (CO2ER) is an emerging technology with the potential to limit the use of fossil-based feedstocks in the petrochemical industry by converting CO2 and renewable electricity into useful products such as syngas. Its successful deployment will depend not only on the technology's performance but also on its integration...
book chapter 2023
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Revelo Obando, B.A. (author), Blacquière, G. (author)
The ultimate goal in survey design is to obtain the acquisition parameters that enable acquiring the most affordable data that fulfills certain image quality requirements. We propose a method that allows optimization of the receiver geometry for a fixed source distribution. The former is parameterized with a receiver density function that...
journal article 2023
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Dukalski, Marcin (author), Rovetta, Diego (author), van de Linde, Stan (author), Möller, M. (author), Neumann, Niels (author), Phillipson, Frank (author)
Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous high-performance computing architectures. It is projected that the next major leap in many areas of science, and hence hopefully in geophysics too, will be due to the emergence of quantum computers. Finding a right combination of hardware, algorithms,...
journal article 2023
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Wang, N. (author)
The pledge for a carbon-free energy system in 2050 requires significant investments into renewable energy sources (RES). The relevant questions are: what technologies to select, where to build them, how much the capacities are, and at what cost. In order to answer these techno-economic questions, optimization models are commonly used to sketch a...
doctoral thesis 2022
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van Bergen, Steven (author)
Nanophotonics is the study of structures’ interaction with light with features at or below the nanometer scale. It has gained the interest of many researchers, as it can be used to control the flow of light very effectively in the design of, e.g., solar cells, highly efficient biosensors or lasers. The design of such devices can be non-intuitive...
master thesis 2022
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Peijen, Arjen (author)
Topology optimization is a valuable tool for the optimization of all kinds of structures. It can create highly efficient but complex designs. This complexity can make these structures challenging to clean. However, cleanability is often a requirement in, for example, the medical or food industries. Currently, no method exists to reduce the...
master thesis 2022
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Neustroev, G. (author)
Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...
doctoral thesis 2022
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Liao, Ximeng (author)
Proposed an MILP mathematical model to optimize the total profits for a EV sharing system considering dynamic usage price and V2G technology.
student report 2022
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Al-Zoubi, Musa (author)
Perovskite/Silicon tandem cells are gradually becoming more promising in the field of photovoltaic technology since they have already surpassed the theoretical power conversion efficiency (PCE) limit of single junction (SJ) silicon cells (~30%), while they can be commercially compatible. Several architectures of Perovskite/silicon devices were...
master thesis 2022
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Everse, Luc (author)
Neural networks (NNs) have, in recent years, become a major part of modern pattern recognition, and both theoretical and applied research evolve at an astounding pace. NNs are usually trained via gradient descent (GD), but research has shown that GD is not always capable of training very small networks. As a result, networks trained via GD are...
master thesis 2022
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Wanningen, Nicky (author)
For scaling up the qubits in silicon quantum computers, it is vital to determine crosstalk effects that can lower the fidelity of the computer. <br/>In this computational project, we examine single-qubit gate-fidelities in the presence of crosstalk for uncoupled spin qubits that are driven with X-gates via electron dipole spin resonance (EDSR)....
bachelor thesis 2022
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