Results 131 to 140 of about 654,984 (293)
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani +6 more
wiley +1 more source
Link optimization strategy based on spectral moment in wireless sensor network
In order to prolong the life of the wireless sensor network (WSN),an adaptive local communication link optimization algorithm of nodes was proposed to optimize the network structure dynamically.By introducing the term of Laplacian spectrum moment,each ...
Qing-song CAI, Xi-hou CHEN
doaj
Wavelength-gated photoreversible polymerization and topology control. [PDF]
Frisch H +4 more
europepmc +1 more source
Quasi‐Static to Supersonic Energy Absorption of Nanoarchitected Tubulanes and Schwarzites
Nanoarchitected energy‐absorptive Tubulanes exhibit record energy absorption under quasi‐static conditions and exceptional inelastic energy dissipation under 750 m s−1 ballistics impact, with high performance spanning strain rates of 12 orders of magnitude.
Peter Serles +16 more
wiley +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Topology control scheme based on simulated annealing algorithm in wireless sensor networks
In order to study the topology control scheme satisfying the requirement of lifetime objective in wireless sen-sor networks and aiming at the defect that high redundancy of connectivity or low robust of structure in traditional schemes, the desire of ...
LIU Lin-feng, LIU Ye
doaj
Option-Based Deep Reinforcement Learning for Topology Control of Power Systems
In this paper, we propose an option-based deep reinforcement learning (DRL) algorithm called option-critic with long short-term memory (OC-LSTM), which combines the option-critic (OC) framework containing a hierarchical policy structure with a long short-
Haotian Zhang +3 more
doaj +1 more source
Topological method for controllability
In this work, we found a non trivial topology to achieve the controllability for linear and nonlinear system in finite or infinite time horizon. We give several examples illustrating this topologizing method for the controllability results. We obtain by the way the controllability for the one dimensional Schr dinger.
openaire +2 more sources
Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim +8 more
wiley +1 more source
Based on optimally rigid graph energy efficient distributed topology control algorithm
To solve the problem that most of existing algorithms cannot balance energy consumption,the energy efficient distributed topology control algorithm (OREE) based on optimally rigid graph was presented.Through the link weight function reflecting both the ...
Xiao-yuan LUO +4 more
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