Results 111 to 120 of about 591,846 (285)
ABSTRACT Materials that can deform, sense, and autonomously generate power in response to wireless magnetic fields, through both magnetic‐actuated shape transformation and charge generation, are an emerging focus in advanced functional materials research.
Zhi Zhao, Xiaojia Shelly Zhang
wiley +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites
A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim +13 more
wiley +1 more source
This paper provides new results on a stable discretization of commensurate fractional-order continuous-time LTI systems using the Al-Alaoui and Tustin discretization methods.
Rafał Stanisławski +2 more
doaj +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Maximum normalized acceleration as a flying qualities parameter [PDF]
In 1984, Maximum Normalized Rate (MNR) was presented as a Flying Qualities parameter. Subsequent analysis of data from ground based simulation and flight test revealed the utility of a companion parameter, Maximum Normalized Acceleration (MNA).
Onstott, E. D., Warner, J. S.
core +1 more source
This review summarizes the roles of key central nervous system cell types, the extracellular matrix, and the blood‐brain barrier in neuroinflammation, and their integration into diverse 3D culture systems. It examines major incorporation strategies, including direct co‐culture, hydrogel encapsulation, transwell migration assays, and bioprinting ...
Emmanuelle D. Aiyegbusi +2 more
wiley +1 more source
A Local Path Planning Method for Intelligent Vehicle in Multi-obstacle Environment
In the structured road scene with multiple obstacles, intelligent vehicles need to meet the road boundary constraints and ensure continuous obstacle avoidance at the same time.
YANG Fan, XU Biao
doaj
ABSTRACT Magnetogenetic deep brain stimulation (MG‐DBS) represents a wireless neuromodulation that has demonstrated long‐lasting behavioral benefits in Parkinson's disease models. However, the circuit‐level mechanisms underlying these therapeutic effects have remained uncharacterized due to limitations of conventional neural interfaces.
Jakyoung Lee +10 more
wiley +1 more source
Enhanced Endoscopic Internal Drainage of Gastric Abscess Through Additively Manufactured Stents
Postoperative gastric leaks are often treated with off‐label biliary double‐pigtail stents, yet conventional extruded designs are not optimized for leak anatomy, can migrate, and may limit abscess evacuation. PETALS is introduced to optimize transmural drainage geometry and enable patient‐specific 3D‐printable stents.
Parima Phowarasoontorn +14 more
wiley +1 more source

