Results 191 to 200 of about 16,442 (247)

Trait-based meta-analysis of microbial guilds in the iron redox cycle. [PDF]

mSystems
Díaz-González F, Rojas-Villalobos C, Issotta F, Reyes-Impellizzeri S, Hedrich S, Johnson DB, Temporetti P, Quatrini R.   +7 more
europepmc   +1 more source

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

Fractional Telegrapher's Equation under Resetting: Non-Equilibrium Stationary States and First-Passage Times. [PDF]

Entropy (Basel)
Górska K, Sevilla FJ, Chacón-Acosta G, Sandev T.   +3 more
europepmc   +1 more source

Pattern Formation in Non‐Equilibrium Architected Materials

Advanced Materials Technologies, EarlyView.
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley   +1 more source

Modeling Recurrent Events: A Tutorial Based on Relapse and Remitting Episodes during Medication-Assisted Treatment for Opioid Use Disorder. [PDF]

Med Decis Making
Chrysanthopoulou SA, Wang J, Nolen S, Madushani ARWM, Murphy SM, Linas BP, White LF.   +6 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

A new exponential family of distributions with applications to engineering and medical data. [PDF]

Sci Rep
Sapkota LP, Bam N, Kumar V.
europepmc   +1 more source

Elastomers Combining Damping Efficiency With Rapid Recovery

Advanced Materials Technologies, EarlyView.
Double network granular elastomers (DNGEs) combine high energy dissipation under both cyclic loading and high impact with rapid shape recovery. 3D printing enables the production of complex, customizable structures with tailored performance. Recyclable DNGEs retain their properties over multiple recycling cycles.
Eva Baur, Alain Molleyres, Esther Amstad
wiley   +1 more source

Unique Information Through the Lens of Channel Ordering: An Introduction and Review. [PDF]

Entropy (Basel)
Banerjee PK.
europepmc   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source