Results 231 to 240 of about 445,407 (250)
A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee +8 more
wiley +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim +8 more
wiley +1 more source
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
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IEEE Transactions on Circuits and Systems, 1974
A set of chemical species "interconnected" by reaction pathways is commonly referred to as a chemical network. We show that chemical networks are mathematically equivalent to a class of multiport networks. Hence, abstract circuit theory can be applied to study chemical systems.
G. Oster, A. Perelson
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A set of chemical species "interconnected" by reaction pathways is commonly referred to as a chemical network. We show that chemical networks are mathematically equivalent to a class of multiport networks. Hence, abstract circuit theory can be applied to study chemical systems.
G. Oster, A. Perelson
openaire +1 more source
RELEVANT CYCLES IN CHEMICAL REACTION NETWORKS [PDF]
We characterize the distributions of short cycles in a large metabolic network previously shown to have small world characteristics and a power law degree distribution. Compared with three classes of random networks, including Erdős–Rényi random graphs and synthetic small world networks of the same connectivity, both the metabolic network and models ...
PETRA M. GLEISS +3 more
openaire +2 more sources
DNA‐Based Chemical Reaction Networks
ChemBioChem, 2019AbstractMotivated by complex molecular networks of biological organisms, which enable control of the temporal and spatial concentrations of molecules, the bottom‐up development of artificial chemical reaction networks has received renewed interest from biochemists.
Fan Li, Mingshu Xiao, Hao Pei
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Chemical reaction network sensitivity analysis
The Journal of Chemical Physics, 1984Traditional sensitivity analysis of a chemical reaction system’s periodic trajectory shows how the oscillation depends on the reaction rate constants. We develop sensitivity analysis within the framework of a stoichiometric network analysis, which is a theory that relates the dynamics of complex chemical reaction systems to feedback loops in the ...
R. Larter, B. L. Clarke
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Embracing Noise in Chemical Reaction Networks
Bulletin of Mathematical Biology, 2019We provide a short review of stochastic modeling in chemical reaction networks for mathematical and quantitative biologists. We use as case studies two publications appearing in this issue of the Bulletin, on the modeling of quasi-steady-state approximations and cell polarity.
Enciso, German, Kim, Jinsu
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Reconstructing chemical reaction networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines techniques from numerical sensitivity analysis and probabilistic graphical models.
Yong Ju Cho +2 more
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