Results 181 to 190 of about 3,002,307 (310)

Timing, sequencing and quantum of life course events: a machine learning approach [PDF]

open access: bronze, 2000
Francesco C. Billari   +2 more
openalex   +1 more source

Domain Nucleation and Growth in an Epitaxially Grown Wurtzite Ferroelectric

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric domain nucleation and growth in epitaxial wurtzite (Al, B, Sc)N films are visualized through in situ transmission electron microscopy. Domains initiate near the bottom electrode and propagate laterally with zigzag walls, while unswitched regions remain near the electrode interfaces.
Sebastian Calderon   +3 more
wiley   +1 more source

Machine Learning Fault Models of Industrial R-FCC Processes

open access: bronze, 1995
Shuang‐Hua Yang   +2 more
openalex   +1 more source

Higher‐Order Temporal Dynamics in Complementary Charge Trap Memristor for High‐Dimensional Reservoir Computing

open access: yesAdvanced Functional Materials, EarlyView.
A complementary charge‐trap memristor (CoCTM) featuring a unique current transient with tunable overshoot‐relaxation dynamics is introduced for high‐resolution reservoir computing. By leveraging higher‐order temporal dynamics from engineered trapping layers, the device generates multiple output states from a single input, forming rich, high‐dimensional
Alba Martinez   +9 more
wiley   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim   +5 more
wiley   +1 more source

Evaluation of hydraulic fracturing using machine learning. [PDF]

open access: yesSci Rep
Akbari A   +3 more
europepmc   +1 more source

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

open access: yesAdvanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy