Results 211 to 220 of about 3,351,616 (311)
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 +4 more
wiley +1 more source
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
Deciphering Small Molecule Diffusion Parameters Across Light Responsive Polymersome Membranes
Light‐responsive polymersomes bearing donor–acceptor Stenhouse adducts (DASAs) enable programmable control over small‐molecule transport across synthetic membranes. By systematically varying DASA density, an optimal functionalization regime is identified that maximizes light‐gated permeability.
Farzina Matubbar +7 more
wiley +1 more source
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 +3 more
wiley +1 more source
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IEEE Transactions on Industrial Informatics, 2023
For deep learning-based soft sensors, the lack of interpretability and the consequent unreliability has become one of the most important problems. In this article, a neural network scheme called the deep multiple attention soft sensor (DMASS), which ...
Runyuan Guo +4 more
semanticscholar +1 more source
For deep learning-based soft sensors, the lack of interpretability and the consequent unreliability has become one of the most important problems. In this article, a neural network scheme called the deep multiple attention soft sensor (DMASS), which ...
Runyuan Guo +4 more
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2023
The accurate online soft sensor in complex industrial processes remains challenging because underlying spatial coupling relations among process variables have not been effectively mined and exploited.
Kun Liu, Chunhui Zhao
semanticscholar +1 more source
The accurate online soft sensor in complex industrial processes remains challenging because underlying spatial coupling relations among process variables have not been effectively mined and exploited.
Kun Liu, Chunhui Zhao
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2023
Nonlinear and multimode characteristics commonly appear in modern industrial process data with increasing complexity and dynamics, which have brought challenges to soft sensor modeling.
Le Yao +4 more
semanticscholar +1 more source
Nonlinear and multimode characteristics commonly appear in modern industrial process data with increasing complexity and dynamics, which have brought challenges to soft sensor modeling.
Le Yao +4 more
semanticscholar +1 more source
IEEE Sensors Journal, 2023
Soft sensor technology is widely used in industries to handle highly nonlinear, dynamic, time-dependent sequence data of industrial processes for predicting the key variables associated with auxiliary process variables.
Lianwei Ma +3 more
semanticscholar +1 more source
Soft sensor technology is widely used in industries to handle highly nonlinear, dynamic, time-dependent sequence data of industrial processes for predicting the key variables associated with auxiliary process variables.
Lianwei Ma +3 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2023
The polymerization process produces industrially important products; hence, its monitoring and control are of paramount importance. However, the nonavailability of real-time (on-demand) measurement of quality variables gives rise to difficulties in ...
Xiuli Zhu +5 more
semanticscholar +1 more source
The polymerization process produces industrially important products; hence, its monitoring and control are of paramount importance. However, the nonavailability of real-time (on-demand) measurement of quality variables gives rise to difficulties in ...
Xiuli Zhu +5 more
semanticscholar +1 more source
Machine-Learning-Assisted Recognition on Bioinspired Soft Sensor Arrays.
ACS Nano, 2022Soft interfaces with self-sensing capabilities play an essential role in environment awareness and reaction. The growing overlap between materials and sensory systems has created a myriad of challenges for sensor integration, including the design of a ...
Yang Luo +4 more
semanticscholar +1 more source

