Results 161 to 170 of about 5,588,991 (291)

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Feasibility of Integrating a Standardized Psychosocial Follow-Up After Childhood Cancer-An Interim Analysis of the LE-Na Study. [PDF]

open access: yesCancer Med
Sleimann M   +22 more
europepmc   +1 more source

On the von Neumann regularity of rings with regular prime factor rings [PDF]

open access: yesPacific Journal of Mathematics, 1974
Fisher, Joe W., Snider, Robert L.
openaire   +2 more sources

Single‐Step Analog In‐Memory Matrix Computation in Three‐Dimensional Circuits

open access: yesAdvanced Intelligent Systems, EarlyView.
A wooden model illustrates a 3D memristive array designed for single‐step kernel convolutions. It shows how two‐dimensional input data are mapped into the 3D array and convolved in parallel with stored kernels. Color‐coded connection points represent programmed memory‐element values, with each color corresponding to a specific kernel weight.
Alireza Jaberi Rad   +8 more
wiley   +1 more source

Low‐Voltage Operation of IGZO Memtransistors Enabled by Coupling Enhancement Through 2T Drain‐Driven Operation for Neuromorphic Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
A two‐terminal IGZO memtransistor enabling low‐voltage operation is demonstrated through coupling enhancement. By utilizing drain‐induced Fowler–Nordheim tunneling, the device achieves programming below 10 V with a large memory window and high on/off ratio.
Junhyeong Park   +5 more
wiley   +1 more source

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