Results 161 to 170 of about 78,555 (241)

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

A review on spectral data preprocessing techniques for machine learning and quantitative analysis. [PDF]

iScience
Yan C.
europepmc   +1 more source

Overcoming the Stability Issue for Hydrophobic Hole Transporting Layers Utilized in Tin‐Lead Perovskite and Tandem Solar Cells

Advanced Functional Materials, EarlyView.
A non‐annealed process is developed for non‐PEDOT:PSS inverted tin‐lead perovskite solar cells to attain PCE 22.67% for the PTAA‐based device. When PTAA is applied in an all‐perovskite tandem solar cell, a record efficiency of 28.14% is obtained with great stability for the efficiency maintaining 96% of its original value for 500 h under one‐sun ...
Chun‐Hsiao Kuan, Xianyuan Jiang, Qilin Zhou, Xin Wen, Sung‐Fu Hung, Hsin‐Lung Chen, Yun‐Sheng Shih, Sudhakar Narra, Mingyu Ma, Jau‐Wern Chiou, Jhih‐Min Lin, Yi Hou, Eric Wei‐Guang Diau   +12 more
wiley   +1 more source

Mathematical modeling of glucose regulation and sleep resting heart rate to predict risk of metabolic dysregulation in cancer survivors. [PDF]

PLoS One
Liao Y, Spadola C, Roy S.
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

A parallel and efficient transformer deep learning network for continuous estimation of hand kinematics from electromyographic signals. [PDF]

Sci Rep
Lin C, Zhang X, Zhao C.
europepmc   +1 more source

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

Advanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti, Andrea Cimolato, Noemi Gozzi, Pietro Palopoli, Luca Brugnoli, Natalija Katic Secerovic, Rebecca Gallivan, Alexander Shokurov, Carlo Menon, Johannes Weichart, Ignacio Delgado‐Martinez, Weiguo Song, Stavros Zanos, Xavier Navarro, Stanisa Raspopovic   +14 more
wiley   +1 more source

Research on an intelligent drilling parameter optimization method using sliding window segmentation based on the hydraulic-mechanical specific energy model. [PDF]

PLoS One
Li W, Liu Y, Li X, Deng B, Zhao H, Zhu L, Zain U.   +6 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

Optimization method for catching deviation of table tennis training robot based on physical motion model and YOLOv3. [PDF]

Sci Rep
Wang X.
europepmc   +1 more source