Results 161 to 170 of about 48,048 (287)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Prediction of coal and gas outbursts based on physics informed neural networks and traditional machine learning models. [PDF]

Sci Rep
Wang L, Jia B, Su G.
europepmc   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

Confirmation of unidimensionality of the Dermatology Life Quality Index (DLQI) using a multinational 3,408 patient dataset. [PDF]

J Patient Rep Outcomes
Johns J, Salek S, Ali F, Dalgard F, Kupfer J, Finlay AY.   +5 more
europepmc   +1 more source

Carrier Transport and Electrical Bandgaps in Epitaxial CrN Layers

Advanced Electronic Materials, EarlyView.
ABSTRACT The transport properties and electrical bandgap of nominally undoped ≈$\approx$75‐nm‐thick CrN layers simultaneously grown on AlN(0001) and AlN(112¯$\bar{2}$2) templates using plasma‐assisted molecular beam epitaxy are investigated. The layers grown on AlN(0001) and AlN(112¯$\bar{2}$2) exhibit (111) and (113) surface orientations, respectively.
Duc V. Dinh, Jens Herfort, Andreas Fiedler, Oliver Brandt   +3 more
wiley   +1 more source

Compact and Interpretable Neural Networks Using Lehmer Activation Units. [PDF]

Entropy (Basel)
Ataei M, Forouzi S, Wang X.
europepmc   +1 more source

Electric‐Field‐Driven Bilayer Interphase from Oxygenated Nanodiamond‐Carbon Nanoparticles for Dendrite‐Free Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
Electric‐field‐driven carbon migration within an oxygen‐functionalized nanodiamond/carbon composite induces the formation of a vertically graded interphase that homogenizes Li‐ion flux and suppresses dendritic nucleation. This hierarchically organized structure stabilizes the electrode–electrolyte interface and delivers durable, dendrite‐free operation
Jaeseong Kim, Incheol Heo, Dong‐Kyung Kim, Min Seok Kang, Ji Hee Kwon, Byeong‐Seon An, Keir C. Neuman, Byung‐Hyun Kim, Hak‐Sung Jung, Won Cheol Yoo   +9 more
wiley   +1 more source

RUL prediction method based on sequential health index evaluation with multidimensional coupled degradation data. [PDF]

PLoS One
Han F, Mo B.
europepmc   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Behavioral TOPSIS technique based on probabilistic picture hesitant fuzzy probability splitting algorithm and novel interactive operations. [PDF]

Sci Rep
Cheng J, Ning B.
europepmc   +1 more source