Results 291 to 300 of about 1,095,825 (329)

Heterojunction‐Driven Stochasticity: Bi‐Heterojunction Noise‐Enhanced Negative Transconductance Transistor in Image Generation

Advanced Materials, EarlyView.
This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han, Ryun‐Han Koo, Jaechan Song, Chang‐Hyun Kim, Eun Kwang Lee, Wonjun Shin, Hocheon Yoo   +6 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

High‐Performance Phototransistor Based on a 2D Polybenzimidazole Polymer

Advanced Materials, EarlyView.
A crystalline 2D polybenzimidazole polymer (2DPBI), incorporating a porphyrin‐based π‐system linked via 1,3‐diazole units, is synthesized on the water surface over large areas. The 2DPBI thin‐film exhibits high charge carrier mobility (≈240 cm2 V−1 s−1, measured by terahertz spectroscopy), strong photoresponse, and band‐like transport, enabling ...
Anupam Prasoon, Preetam Dacha, Heng Zhang, Elif Unsal, Mike Hambsch, Alexander Croy, Shuai Fu, Nguyen Ngan Nguyen, Kejun Liu, Haoyuan Qi, Sein Chung, Minyoung Jeong, Lei Gao, Ute Kaiser, Kilwon Cho, Hai I. Wang, Renhao Dong, Gianaurelio Cuniberti, Mischa Bonn, Stefan C. B. Mannsfeld, Xinliang Feng   +20 more
wiley   +1 more source

Mean-field and Fluctuations for Hub Dynamics in Heterogeneous Random Networks. [PDF]

Commun Math Phys
Bian Z, Lamb JSW, Pereira T.
europepmc   +1 more source

Bioinspired, Rapidly Responsive Magnetically Tunable Stiffness Metamaterials

Advanced Materials, EarlyView.
A 3D array of magnetoactive mechanical metamaterials enables rapid and reversible stiffness modulation under external magnetic fields. By adjusting field direction and intensity, the system exhibits diverse deformation modes and tunable modulus. This fast‐responding mechanical metamaterial offers real‐time adaptability for advanced reconfigurable and ...
Gooyoon Chung, Huy Le Quang, Jung Hyun Kim, Jeongmin Yoo, Seung Kwon Seol, Yoonseok Park   +5 more
wiley   +1 more source

Influence of multi-species data on gene-disease associations in substance use disorder using random walk with restart models. [PDF]

PLoS One
Castaneda EU, Moore S, Bubier JA, Grady SK, Langston MA, Chesler EJ, Baker EJ.   +6 more
europepmc   +1 more source

Random Graph Processes

, 2012
openaire   +8 more sources

An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks? [PDF]

J Math Biol
Pastva S, Park KH, Huvar O, Rozum JC, Albert R.   +4 more
europepmc   +1 more source

Construction of edit-distance graphs for large sets of short reads through minimizer-bucketing. [PDF]

Bioinform Adv
Ping P, Li J.
europepmc   +1 more source

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A random graph

Journal of Applied Probability, 1981
We consider an unordered graph where there is one arc emanating from each node. We suppose that the arc that emanates from i will go to j with probability Pj. The probability that the resultant graph is connected and a recursive formula for the distribution of the number of components it possesses are derived.
openaire   +2 more sources