Results 11 to 20 of about 13,929 (176)

Dirac‐Source Linear X‐Ray Detection Diode

Advanced Functional Materials, EarlyView.
Monolayer graphene imparts near linear current‐voltage behavior to a perovskite X‐ray detection diode, contrasting with conventional diode‐like responses. Exploiting graphene's Dirac dispersion and a Schottky‐like back‐to‐back junction, the device achieves six‐orders‐of‐magnitude dark current suppression while retaining linearity over 200 V, enabling ...
Babar Shabbir, Shoaib Masood, Jialu Li, R. A. W. Ayyubi, Naeimeh Mozaffari, Mosarof Hossain, Nasir Mahmood, Muhammad Nadeem, Jacek J. Jasieniak   +8 more
wiley   +1 more source

3D‐Printed Gradient Shape‐Memory Strain Sensors With Rewritable Gauge Factors

Advanced Functional Materials, EarlyView.
A 3D‐printed shape‐memory strain sensor combines thermomechanical programming with gradient architectural design. Preset strain rewrites the gauge factor (GF), while the gradient geometry amplifies the response through strain redistribution. Reprogrammable sensitivity enables the same sensor to detect weak pulse signals and monitor large‐amplitude ...
Xuan Zhang, Wenjie Qiao, Kaixin Jiang, Sherry Chen, Hanyu Cui, Kirsten Dyer, Xuefeng Zhu, Ting Wang, Xuehua Zhang, Ben Bin Xu, Jie Kong   +10 more
wiley   +1 more source

Rational Control of Antibody Orientation for Enhancing Sensitivity and Specificity in Lateral Flow Immunoassays With Clinical Validation

Advanced Healthcare Materials, EarlyView.
Systematic investigation of antibody orientation strategies in lateral flow immunoassays reveals that a para‐substituted (aminomethyl)phenylboronic acid mediated probe (P‐6) combined with a biotin‐streptavidin test‐line modification achieves a synergistic 14‐ to 19‐fold sensitivity gain over conventional conjugation. Furthermore, multiplexed detection,
Pin‐Hao Wang, Shunmuga Nathan Shunmuga Nainar, Bing‐Han Zhuang, Shun‐Mao Yang, Hong‐Cheu Lin, Yang‐Hsiang Chan   +5 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Self‐Assembling Copolymers Encapsulating Single Endothelial Cells Induce Endogenous ECM Deposition and Vascular Regeneration

Advanced Materials, EarlyView.
This study presents the first demonstration of stable sub‐50‐micron single‐cell GPM vesicles fabricated through the intrinsic self‐assembly of an amphiphilic copolymer. Hierarchical assembly of cell containing GPM vesicles into microspheres enable tunable, sustained cell delivery with immune protection.
Viola B. Morris, Sangho Lee, Kalp Soni, Simon He, Matthew Huang, Dandan Chen, Dae Hoon Lee, Kyung Hee Kim, Seonggeon Cho, Laura Pencea, Divit Jain, Young‐Sup Yoon   +11 more
wiley   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

Advanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch, Atmika Bhardwaj, Mirko Nitschke, Ilka Hermes, Andreas Fery, Anett Müller, Marco Werner, André Knapp   +7 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis

Advanced Science, EarlyView.
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu, Priyanka G. Bhosale, Vishal Kumar, Jeyrroy Gabriel, Shiyue Liu, Ciro Chiappini, Richard J. Cook, Mads S. Bergholt   +7 more
wiley   +1 more source

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source