Results 91 to 100 of about 31,026 (267)

Volatile ZrO2 Antiferroelectric Tunnel Junctions for Rapid, Energy‐Efficient Physical Reservoir Computing

Advanced Science, EarlyView.
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon, Moonseek Jeong, Su In Hwang, Geun Hyeong Park, Joonyong Kim, Hyojun Choi, Hyeong Seok Choi, Da Hyun Kim, Dong Hee Han, Ju Yong Park, Seungho Baek, Jung Ho Yoon, Dong Hyun Lee, Min Hyuk Park   +13 more
wiley   +1 more source

Agent‐Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions

Advanced Science, EarlyView.
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan, James R. M. Black, Carlos Martínez‐Ruiz, Kristiana Grigoriadis, Jasmin Fisher, Nicholas McGranahan   +5 more
wiley   +1 more source

Asymptotic Estimates for Double Coverings

Journal of Contemporary Mathematical Analysis (Armenian Academy of Sciences)
19 ...
Karagulyan, Grigori A., Karagulyan, Vahe G.   +1 more
openaire   +2 more sources

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

Electrodeposited Piezoelectric Chitosan Films: A New Approach Toward a Scalable and Standardized Fabrication of Sensors

Advanced Electronic Materials, EarlyView.
Electrodeposition is explored as an innovative and scalable approach to fabricate standardized and highly piezoelectric chitosan films. Chitosan deposition is driven onto gold‐coated silicon plates by an applied voltage. Films’ piezoelectricity is clearly proved and correlated to the material structural order.
Valeria D'Errico, Gaia de Marzo, Antonio Qualtieri, Massimo De Vittorio   +3 more
wiley   +1 more source

Asymptotic stability for second-order differential equations with complex coefficients

Electronic Journal of Differential Equations, 2004
We prove asymptotical stability and instability results for a general second-order differential equations with complex-valued functions as coefficients. To prove asymptotic stability of linear second-order differential equations, we use the technique of ...
Gro R. Hovhannisyan
doaj  

Estimation of the Binominal Distribution Parameters Using the Method of Moments and Its Asymptotic Properties [PDF]

Учёные записки Казанского университета: Серия Физико-математические науки, 2016
The problem of estimating the parameters m and p of the binomial distribution for a sample having the fixed volume n with the help of the method of moments is considered in this paper.
A.N. Safiullina
doaj  

Asymptotic estimates of SARS-CoV-2 infection counts and their sensitivity to stochastic perturbation. [PDF]

Chaos, 2020
Faranda D, Castillo IP, Hulme O, Jezequel A, Lamb JSW, Sato Y, Thompson EL.   +6 more
europepmc   +1 more source

Unimodality and the asymptotics of $M$-estimators

, 1997
info:eu-repo/semantics ...
Hallin, Marc, Mizera, Ivan
openaire   +3 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source