Results 91 to 100 of about 5,689,395 (335)
Internal Temperature Evolution Metrology and Analytics in Li‐Ion Cells
This study investigates the non‐linear evolution of internal temperatures across diverse operating conditions, highlighting the disparities between internal and external measurements and the resulting thermal asymmetries. The coupled thermo‐electrochemical modeling framework provides a comprehensive analysis of various heat generation modes, examining ...
Anuththara S. J. Alujjage+5 more
wiley +1 more source
Optimal Assignment Plan in Sliced Backhaul Networks
The 5G mobile network will rely on network slicing to provide a wide variety of services with various quality of service (QoS) requirements. Network slicing is promoted by 3GPP and provides a logical vertical partition of the network that is based on ...
Christian Quadri+4 more
doaj +1 more source
Thermally Induced Gelling Systems Based on Patchy Polymeric Micelles
A novel strategy to design thermally induced gelling systems with tunable material properties is reported. Polymeric mixed‐shell micelles displaying multiple thermosensitive patchy domains formed hydrogels by assembling into well‐entangled worm‐like network structures upon heating to body temperature. The patchy micelle design significantly affects the
Binru Han+9 more
wiley +1 more source
Ultrahigh Piezoelectricity in Truss‐Based Ferroelectric Ceramics Metamaterials
By leveraging the unique combination of polarization direction and loading state, ultrahigh piezoelectricity is achieved through careful tuning of the relative density and scaling ratio in truss‐based ferroelectric metamaterials. This approach enables the simultaneous realization of extremely high piezoelectric constants and ultralow dielectric ...
Jiahao Shi+6 more
wiley +1 more source
Predicting Feynman periods in ϕ 4-theory
We present efficient data-driven approaches to predict the value of subdivergence-free Feynman integrals (Feynman periods) in ϕ 4-theory from properties of the underlying Feynman graphs, based on a statistical examination of almost 2 million graphs.
Paul-Hermann Balduf, Kimia Shaban
doaj +1 more source
3D Printed Ultra‐Fast Plastic Scintillators Based on Perovskite‐Photocurable Polymer Composite
The demand for radiation detection is increasing in a number of fields, including high‐energy physics, medical imaging, and homeland security. This study serves to demonstrate the potential for the fabrication of fast perovskite‐based scintillators with complex shapes via stereolithographic additive manufacturing, representing a new path toward the ...
Antonella Giuri+16 more
wiley +1 more source
Approximation of an Optimal BV -Control Problem in the Coefficient for the p(x)-Laplace Equation
We study a Dirichlet optimal control problem for a quasilinear monotone elliptic equation with the so-called weighted p(x)-Laplace operator. The coefficient of the p(x)-Laplacian, the weight u, we take as a control in BV (Ω) ∩ L∞(Ω).
Ismail Aydin, Peter Kogut
doaj +1 more source
Power-electronics based converters are essential circuits in renewable energy applications such as electricity generated with photovoltaic panels. The research on the field is getting increasing attention due to climate change problems and their possible
Alma Rodríguez+4 more
doaj +1 more source
Complex and uncertain issues in supply chain result in integrated decision making processes in supply chains. So decentralized (distributed) decision making (DDM) approach is considered as a crucial stage in supply chain planning.
K. Khalili-Damghani, P. Ghasemi
semanticscholar +1 more source
Mathematical Optimizations for Deep Learning
Deep neural networks are often computationally expensive, during both the training stage and inference stage. Training is always expensive, because back-propagation requires high-precision floating-point multiplication and addition. However, various mathematical optimizations may be employed to reduce the computational cost of inference.
Çetin Kaya Koç+3 more
openaire +4 more sources