Results 121 to 130 of about 76,549 (323)

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
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

A new hybrid conjugate gradient method close to the memoryless BFGS quasi-Newton method and its application in image restoration and machine learning

AIMS Mathematics
A new hybrid conjugate gradient algorithm for solving the unconstrained optimization problem was presented. The algorithm could be considered as a modification of the memoryless Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton method.
Xiyuan Zhang, Yueting Yang
doaj   +1 more source

Electric Field‐Dependent Conductivity as Probe for Charge Carrier Delocalization and Morphology in Organic Semiconductors

Advanced Functional Materials, EarlyView.
Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani, Felix Maximilian Graf, Anton Kompatscher, Dennis Derewjanko, Martijn Kemerink   +4 more
wiley   +1 more source

An efficient modified HS conjugate gradient algorithm in machine learning

Electronic Research Archive
The Hestenes-Stiefe (HS) conjugate gradient method is very effective in resolving larger-scale sophisticated smoothing optimization tasks due to its low computational requirements and high computational efficiency.
Gonglin Yuan, Minjie Huang
doaj   +1 more source

Sufficient Descent Conjugate Gradient Methods for Solving Convex Constrained Nonlinear Monotone Equations [PDF]

, 2014
Sanyang Liu, Yuanyuan Huang, Hongwei Jiao   +2 more
openalex   +1 more source

MAGTWIST: A Magnetically‐Driven Rotary Actuator Using a Traveling‐Wave With Integrated Stiffness Tunability

Advanced Functional Materials, EarlyView.
MAGTWIST: A compact magnetic rotary actuator, enabling smooth, stepless rotation, and on‐demand locking. Inspired by peristalsis, a soft polymer belt generates a traveling‐wave, enabling 270° rotation when heated. Cooling stiffens the belt, locking it in position and enabling it to withstand high loads.
Simon Frieler, Jean‐Paul P.M. de Vries, Sarthak Misra, Venkatasubramanian Kalpathy Venkiteswaran   +3 more
wiley   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Efficient Charge Transport in Zero‐Dimensional Perovskite for Ultrahigh‐Sensitivity X‐Ray Detection

Advanced Functional Materials, EarlyView.
A novel mono‐octahedral 0D Bi‐based Dpy3Bi2I12 perovskite strengthens the internal hydrogen bonds and forms a quasi‐2D lattice, exhibits exceptional charge transport and mobility, achieving high X‐ray sensitivity and ultralow‐dose imaging, and setting a new benchmark for 0D detector performance.
Xin Song, Lijie Wang, Jiayi Wang, Yafeng Xu, Renqian Zhou, Shulin Chen, Partha Maity, Peng Yuan, Yongcao Zhang, Bingyao Shao, Jian‐Xin Wang, Jun Yin, Ren‐Wu Huang, Youyou Yuan, Taimoor Ahmad, Osman M. Bakr, Omar F. Mohammed   +16 more
wiley   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

A Geometric Study of Convergence: The Nonlinear Conjugate Gradient Method

, 2016
ANA CLARA DE SOUZA OLIVEIRA, Sandra A. Santos   +1 more
openalex   +2 more sources