Results 131 to 140 of about 10,844 (271)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj   +2 more
wiley   +1 more source

Investigation of the multicaloric properties in spark plasma sintered NiMnCoTi alloys

open access: yesJournal of Materials Research and Technology
Multicaloric Shape Memory Alloys (SMA) attract considerable scientific and technological interest nowadays as core materials for developing new solutions for solid-state cooling. The NiMnCoTi system is a ferromagnetic SMA that combines the caloric effect
F. Villa   +4 more
doaj   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

open access: yesAdvanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh   +4 more
wiley   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

open access: yesAdvanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame   +4 more
wiley   +1 more source

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

open access: yesAdvanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Electropermanent Magnetic Muscles: Power‐Efficient, Low‐Voltage, Compact Magnetic Actuators to Power Wearables and Untethered Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents compact, low‐voltage actuators based on electropermanent magnetic interactions. The actuators show good overall performance across key metrics and are implemented in wearable devices and untethered robots. Their ability to operate in different configurations and hold positions without energy input highlights their potential for ...
Arturo Castillo Ugalde   +4 more
wiley   +1 more source

Dissipative Heat Impact on the Non‐Newtonian Walter's B Nanoliquid Over an Elongating Surface Through a Permeable Medium

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The utilisation of viscoelastic Walter's B nanoliquid in engineering and biomedical applications gained substantial attention because of its ability to provide real‐time fluid behaviour, particularly in the heat flow mechanism. In particular, the flow of viscoelastic fluid over an elongating surface is useful in polymer processing and ...
Laxmipriya Swain   +3 more
wiley   +1 more source

Magnetron Sputtering Synthesis of La‐Doped BiFeO3 Thin Films and Enhanced Exchange Bias in CoFeB/Bi1‐xLaxFeO3 Heterostructures

open access: yesAdvanced Physics Research, EarlyView.
This study explores the epitaxial growth of high‐quality La‐doped BiFeO3 (BLFO) thin films at 550 °C using magnetron sputtering. The films exhibit good ferroelectric properties and low leakage current. A BLFO/CoFeB heterostructure is constructed, achieving an exchange bias field exceeding the coercive field at room temperature.
Zhiqin Zhou   +10 more
wiley   +1 more source

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