Results 161 to 170 of about 9,741 (295)

Solvent‐Mediated Reactivity Control of Lewis‐Paired Dopants as a Versatile Strategy for Tunable and Stable Doping of Organic Semiconductors

Advanced Materials, EarlyView.
Solvent‐mediated reactivity control of Lewis‐paired dopants enables highly efficient, finely tunable, and stable doping of organic semiconductors. The optimally doped semiconductor films exhibit superior thermoelectric performance and doping stability, feature delocalized polarons along structurally ordered polymer backbones, and outperform ...
Sang Beom Kim, Eui Hyun Suh, Taek Seong Lee, Andreas W. Erhardt, Iain McCulloch, Jaeyoung Jang   +5 more
wiley   +1 more source

Enhanced YOLOv8-based pavement crack detection: A high-precision approach. [PDF]

PLoS One
Zhang Z, Zhang H, Zhang T.
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks. [PDF]

Sci Rep
Zhang H, Liu J, Hu G.
europepmc   +1 more source

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

Advanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar, Carlos Alejandro Jimenez‐Rodriguez, Railia Biktimirova, Ilka Hermes, Thomas Kurth, My Duyen Pham, Mikhail Tsurkan, Jens Friedrichs, Francis L. C. Morgan, Hans Kleemann, Olga Guskova, Uwe Freudenberg, Peter Fratzl, Carsten Werner, Christoph Tondera, Ivan R. Minev   +15 more
wiley   +1 more source

Crack-MsCGA: A Deep Learning Network with Multi-Scale Attention for Pavement Crack Detection. [PDF]

Sensors (Basel)
Liu G, Wu X, Dai F, Liu G, Li L, Huang B.   +5 more
europepmc   +1 more source

Charge Transfer States in Donor–Acceptor Bulk‐Heterojunctions as Triplet–Triplet Annihilation Sensitizer for Solid‐State Photon Upconversion

Advanced Materials Interfaces, EarlyView.
A near‐infrared photosensitizer that facilitates efficient solid‐state photon upconversion by recycling triplets formed within a fullerene‐based donor–acceptor bulk‐heterojunction system is demonstrated. Spectroscopic investigations reveal that the energy of photogenerated charge transfer states of triplet character (3CT) is subsequently transferred to
Maciej Klein, Alexander R. Ireland, Evan G. Moore, Dennis Delic, Ajay K. Pandey   +4 more
wiley   +1 more source

A novel convolutional neural network for enhancing the continuity of pavement crack detection. [PDF]

Sci Rep
Zhang J, Sun S, Song W, Li Y, Teng Q.
europepmc   +1 more source

Advances in MoS2‐Au Nanostructured Platforms for Cancer‐Derived miRNA Detection

Advanced Materials Interfaces, EarlyView.
This figure presents the roadmap and scope of this review on microRNA detection technologies, with emphasis on MoS2 and MoS2–Au hybrid nanostructures. It traces the evolution from conventional assays to MoS2‐based SERS platforms, highlights synthesis, interfacial chemistry, and signal‐enhancement mechanisms, and summarizes key challenges and future ...
Faith Mokobi Zablon, Kristen Dellinger, Shyam Aravamudhan   +2 more
wiley   +1 more source

DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection. [PDF]

J Imaging
Saberironaghi A, Ren J.
europepmc   +1 more source