Results 181 to 190 of about 373,465 (244)

Rational Device Design and Doping‐Controlled Performance in Fast‐Response π‐Ion Gel Transistors

Advanced Functional Materials, EarlyView.
π‐Ion gel transistors (PIGTs) achieve extraordinary transconductance and stability through device configuration optimization, high‐mobility conjugated polymer selection, and hole scavenger doping. The optimized PIGTs maintain performance on flexible substrates, enabling printed, fast‐response, and wearable electronics.
Masato Kato, Soh Kushida, Nafees Umar Draz, Dan Kyotani, Emanuel Smarsly, Kyota Yoshinaga, Wenhao He, Uwe H. F. Bunz, Kazuhiro Marumoto, Tatsuya Mori, Yohei Yamamoto   +10 more
wiley   +1 more source

Linking Local Atomic Structure and Carbon Network Architecture to Electrochemical Performance and Na⁺ Diffusivity in Na₄VMn(PO₄)₃/C Cathodes. [PDF]

ACS Omega
Kaewmala S, Kamma N, Pleuksachat S, Phuenhinlad P, Limphirat W, Prasongthum N, Nash J, Meethong N.   +7 more
europepmc   +1 more source

Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies

Advanced Functional Materials, EarlyView.
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra, Shuvaraj Ghosh, Malkeshkumar Patel, Sourov Hossain, Ju‐Hyung Yun, Joondong Kim   +5 more
wiley   +1 more source

Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture. [PDF]

Sci Rep
Gao H, Wang H, Shen H, Xing S, Yang Y, Wang Y, Liu W, Yu L, Ali M, Khan IA.   +9 more
europepmc   +1 more source

Astrocyte‐Guided Maturation of Neural Constructs in a Modular Biosynthetic Hydrogel for Biohybrid Neurotechnologies

Advanced Functional Materials, EarlyView.
A modular biosynthetic PVA–gelatin hydrogel crosslinked via visible‐light thiol‐ene chemistry is engineered as a coating for neural electrodes. Optimizing matrix composition and mechanical properties enables the hydrogel to support astrocytic populations that guide neural differentiation and functional maturation.
Martina Genta, Sofia Peressotti, Roberto Portillo‐Lara, Josef Goding, Rylie Green   +4 more
wiley   +1 more source

Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture. [PDF]

Sci Rep
Aftab J, Khan MA, Arshad S, Rehman SU, AlHammadi DA, Nam Y.   +5 more
europepmc   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. [PDF]

PLoS One
Ahmed A, Ali S, Raza A, Hussain I, Bilal A, Fitriyani NL, Gu Y, Syafrudin M.   +7 more
europepmc   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico. [PDF]

Sensors (Basel)
Kaderuppan SS, Sharma A, Saifuddin MR, Wong WLE, Woo WL.   +4 more
europepmc   +1 more source