Results 131 to 140 of about 723,870 (293)
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Néel Tensor Torque in Polycrystalline Antiferromagnets
This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang +4 more
wiley +1 more source
Decision tree ensemble machine learning for rapid QSTS simulations
Logan Blakely +2 more
openalex +2 more sources
This review summarizes the latest progress in transforming renewable bamboo resources into high‐value functional materials. It emphasizes how to leverage bamboo's multiscale hierarchical structures to realize innovative applications in energy, construction, environment, and medicine, providing key insights for developing high‐performance bio‐based ...
Yuxiang Huang +13 more
wiley +1 more source
An Interpretable Attention Decision Forest Model for Surface Soil Moisture Retrieval
Surface soil moisture (SSM) plays a critical role in climate change, hydrological processes, and agricultural production. Decision trees and deep learning are widely applied to SSM retrieval.
Jianhui Chen +10 more
doaj +1 more source
On Decision Trees, Influences, and Learning Monotone Decision Trees
Ryan O’Donnell, Rocco A. Servedio
openalex +1 more source
A Decision Tree Learning Approach for Mining Relationship-Based Access Control Policies [PDF]
Thang Bui, Scott D. Stoller
openalex +1 more source
Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke +11 more
wiley +1 more source
A nonlinear optical microscopy technique is introduced that enables rapid imaging of hexagonal boron nitride monolayers, which are usually optically invisible. The nonlinear mixing of mid‐infrared and visible laser pulses enables full crystallographic imaging through phase‐resolved sum‐frequency generation microscopy, where the resonant excitation of a
Niclas S. Mueller +15 more
wiley +1 more source

