Zobrazeno 1 - 10
of 13 009
pro vyhledávání: '"A. Theodorou"'
Autor:
J. Dohmen, D. Weissinger, A. S. T. Peter, A. Theodorou, J. C. Kalff, B. Stoffels, P. Lingohr, M. von Websky
Publikováno v:
Frontiers in Surgery, Vol 11 (2024)
BackgroundIn emergency surgery, managing abdominal sepsis and critically ill patients with imminent abdominal compartment syndrome (ACS) using an open abdomen (OA) approach has become standard practice for damage control. To prevent significant compl
Externí odkaz:
https://doaj.org/article/da6ac67242aa482ebfe0da712163ea69
Publikováno v:
Nuclear Materials and Energy, Vol 38, Iss , Pp 101595- (2024)
For future fusion power plants, the reduced activation ferritic/martensitic (RAFM) steel EUROFER is considered to be the primary choice as a structural material for plasma facing components (PFC) of the first wall, such as the blanket modules. Its ex
Externí odkaz:
https://doaj.org/article/92b2a78a716d475f88c645e625baf0d8
Publikováno v:
Nuclear Materials and Energy, Vol 36, Iss , Pp 101494- (2023)
The reduced activation ferritic martensitic steel EUROFER is one of the foreseen structural materials for future fusion reactors. The exposure to energetic fusion neutrons will generate displacement damage in the steel which can act as trapping sites
Externí odkaz:
https://doaj.org/article/b0c8e1959ae54f2aba5ea966aad0ccb3
Publikováno v:
Nuclear Fusion, Vol 64, Iss 7, p 076056 (2024)
Future fusion reactors will have to breed enough tritium (T) to sustain continuous operation and to produce excess T to power up other fusion reactors. Therefore, T is a scarce resource that must not be lost inside the fusion power plants systems. Th
Externí odkaz:
https://doaj.org/article/6b5419ba7aac466a915c46fe7fca6f25
Autor:
Theodoropoulos, Panagiotis, Komianos, Nikolaos, Pacelli, Vincent, Liu, Guan-Horng, Theodorou, Evangelos A.
Recent advancements in diffusion bridges for distribution transport problems have heavily relied on matching frameworks, yet existing methods often face a trade-off between scalability and access to optimal pairings during training. Fully unsupervise
Externí odkaz:
http://arxiv.org/abs/2410.14055
This paper provides an overview, analysis, and comparison of second-order dynamic optimization algorithms, i.e., constrained Differential Dynamic Programming (DDP) and Sequential Quadratic Programming (SQP). Although a variety of these algorithms has
Externí odkaz:
http://arxiv.org/abs/2409.11649
This paper introduces a new C++/CUDA library for GPU-accelerated stochastic optimization called MPPI-Generic. It provides implementations of Model Predictive Path Integral control, Tube-Model Predictive Path Integral Control, and Robust Model Predict
Externí odkaz:
http://arxiv.org/abs/2409.07563
We present a novel second-order trajectory optimization algorithm based on Stein Variational Newton's Method and Maximum Entropy Differential Dynamic Programming. The proposed algorithm, called Stein Variational Differential Dynamic Programming, is a
Externí odkaz:
http://arxiv.org/abs/2409.04644
Sociotechnical requirements shape the governance of artificially intelligent (AI) systems. In an era where embodied AI technologies are rapidly reshaping various facets of contemporary society, their inherent dynamic adaptability presents a unique bl
Externí odkaz:
http://arxiv.org/abs/2409.00015
Variable autonomy equips a system, such as a robot, with mixed initiatives such that it can adjust its independence level based on the task's complexity and the surrounding environment. Variable autonomy solves two main problems in robotic planning:
Externí odkaz:
http://arxiv.org/abs/2407.16254