Results 181 to 190 of about 237 (207)
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor
Herein, a new application is proposed for an active whisker sensor that mimics the movement of rat whiskers. The whiskers, which are deformed by contact with an object, provide information about surface properties. It is shown that active whisker sensors can be useful in the food industry, and data identification is performed using deep learning ...
Jieun Park+13 more
wiley +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam+6 more
wiley +1 more source
Real‐Time Control of a Humanoid Robot for Whole‐Body Tactile Interaction
Inspired by human tactile interaction, this work integrates large‐area artificial skin feedback (force and proximity) into real‐time quadratic programming control for humanoids. This enables robots to leverage distributed sensing to manage forces, safely move around unknown and dynamic obstacles, and robustly handle objects with uncertain geometry ...
Simon Armleder+4 more
wiley +1 more source
An Ultrathin and Lightweight Soft Inflatable Actuator for Natural Tactile Sensory Feedback
A lightweight, ultrathin soft actuator mimics natural touch by delivering strong, multimodal haptic feedback through pressure and vibration. Tested on both able‐bodied individuals and amputees, it achieves high sensory precision in a compact form. Its simplicity, power, and adaptability hint at transformative applications in prosthetics, immersive ...
Hanna Scherer+7 more
wiley +1 more source
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi+5 more
wiley +1 more source
Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto+4 more
wiley +1 more source
ABSTRACT Selecting the optimal donor is crucial for optimizing results of allogeneic hematopoietic cell transplantation (allo‐HCT). We analyzed outcomes based on donor type in 2809 myelofibrosis (MF) patients undergoing first allo‐HCT between 2015 and 2021 at EBMT centers.
Juan Carlos Hernández‐Boluda+24 more
wiley +1 more source