Results 31 to 40 of about 10,682 (175)
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 +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
Hybrid Amyloid–Boron Nitride Aerogels for Lightweight Sound Insulation
Amyloid fibrils template the mild formation of boron nitride–rich hybrid aerogels with hierarchical porosity, enhanced BN‐like ordering, and fibril‐reinforced mechanics. These ultralight materials combine thermal stability with strong sound absorption and transmission loss, offering a sustainable bio‐assisted route toward lightweight acoustic shields ...
Mohammad Peydayesh +8 more
wiley +1 more source
PEG‐guided mitochondrial surface engineering supports structural stabilization and controlled presentation of cell‐penetrating peptides. CPP–PEG‐modified mitochondria exhibit enhanced cellular uptake and uptake‐associated respiratory modulation, providing a proof‐of‐concept framework for modular organelle engineering and future bioenergetic modulation ...
Masahiro Shiraishi +9 more
wiley +1 more source
Stretchable and Strain‐Tolerant Gold‐Coated Fibrous Biosensor for Superoxide Anion Monitoring
A breathable, stretchable gold nanomesh–TPU fiber platform is developed via controlled electroless deposition, enabling uniform through‐thickness conductivity while preserving porosity. Functionalized with superoxide dismutase, the system achieves selective, real‐time electrochemical detection of superoxide with high sensitivity, mechanical durability,
Jafar M. Batayneh, Ahyeon Koh
wiley +1 more source
Microneedles Mediated Delivery of Nanodiamonds for Quantum Sensing of Free Radicals in Skin Tissue
Fluorescent nanodiamonds are nanoscale sensors capable of monitoring cellular stress responses. However, to function effectively, they must be delivered into cells or tissues. Here, we demonstrate their application in the skin by developing a dissolvable microneedle platform that dissolves after skin insertion, enabling the delivery of nanodiamonds ...
Siyu Fan +10 more
wiley +1 more source
Spheroid‐On‐A‐Drop: A Modular Droplet Microfluidics Platform
The proposed Spheroid‐on‐a‐Drop platform represents a reproducible and tunable platform for the fabrication of biocompatible GelMA‐based microgels, able to support controlled 3D tumor spheroid culture. Its precise control over droplet dynamics and cell distribution paves the way for advanced applications in tissue modeling, drug screening, and ...
A. Fergola +8 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source

