Results 91 to 100 of about 2,153 (243)
Extremal Kirchhoff index in polycyclic chains
The Kirchhoff index of graphs, introduced by Klein and Randić in 1993, has been known useful in the study of computer science, complex network and quantum chemistry. The Kirchhoff index of a graph $G$ is defined as $Kf(G)=\sum\limits_{\{u,v\}\subseteq V(G)}Ω_{G}(u,v)$, where $Ω_{G}(u,v)$ denotes the resistance distance between $u$ and $v$ in $G$.
Hechao Liu, Lihua You
openaire +3 more sources
A Novel Milli‐Scale Magnetic Robot Exploiting Rotation for Controlled Magnetic Particles Release
Delivering magnetic particles can become a game changer in minimally invasive medicine. To cope with this challenge, a magnetically actuated milli‐scale carrier leveraging rotation to perform on‐demand tunable release of magnetic particles across multiple release events is presented.
Giordano De Angelis +3 more
wiley +1 more source
Topology Optimization for a Rigid‐Compliant Hybrid Constant Force Gripper
Constant‐force grippers deliver near‐constant output without sensors, cutting cost and complexity. This study proposes a topology‐optimization framework jointly designing rigid links and material distribution, modeled via link‐state and element‐density variables with constant force as the objective.
Shuhao Xia +5 more
wiley +1 more source
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
The Kirchhoff index of unicycle weighted chains
Abstract We consider a class of generalized linear chains, namely, the unicycle chains as a perturbation of a 2 n –path by adding one weighted edge between two specific vertices. This class of chains includes, in particular, the weighted cycle.
A. Carmona, A.M. Encinas, M. Mitjana
openaire +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko +4 more
wiley +1 more source
An improved lower bound for the degree Kirchhoff index of bipartite graphs [PDF]
Ş. Burcu Bozkurt Altındağ +3 more
doaj +1 more source
Experimental methods in chemical engineering: Atomic absorption spectrometry—AAS
Abstract Elements absorb electromagnetic radiation (light) of a specific wavelength in proportion to the number of atoms in its path. As the atoms absorb this light energy, electrons rise from the ground state to an excited state. In atomic absorption spectrometry (AAS), high temperatures produce clouds of atoms from the sample (atomization) and ...
Emily Cintia Tossi de A. Costa +4 more
wiley +1 more source
This study investigates the spectral and topological properties of rounded knot networks K2n, a helical extension of phenylene quadrilateral structures, through signless Laplacian spectral analysis.
Fareeha Hanif, Ali Raza, Md. Shajib Ali
doaj +1 more source

