Zobrazeno 1 - 10
of 5 389
pro vyhledávání: '"FISHER B."'
The Insulator-Metal-Transition adjoined by a structural transition of VO2 is induced above room temperature (340 K) by heating or self-heating. A steep resistance-jump of up to five orders of magnitude occurs at this transition in high quality, unstr
Externí odkaz:
http://arxiv.org/abs/2105.12381
Publikováno v:
EPJ Web of Conferences, Vol 75, p 01001 (2014)
The zero-field conductivities (σ) of polycrystalline title materials, are governed by intergrain transport. In the majority of cases their σ(T) can be described by the "fluctuation induced tunnelling" model. Analysis of the results in terms of this
Externí odkaz:
https://doaj.org/article/66616d6c03574931b991aa8499da16a6
Publikováno v:
EPJ Web of Conferences, Vol 40, p 15009 (2013)
Striking non-linear conductivity effects induced by surprisingly low electric-fields in charge-ordered oxides, were reported variously as dielectric breakdown, charge-order collapse, depinning of charge-density-waves or other electronic effects. Our
Externí odkaz:
https://doaj.org/article/bc25042af5014c40b63f765b7df4ece1
Programming has been an important skill for researchers and practitioners in computer science and other related areas. To learn basic programing skills, a long-time systematic training is usually required for beginners. According to a recent market r
Externí odkaz:
http://arxiv.org/abs/1805.08747
Autor:
Zhang, Jiawei, Gouza, Fisher B.
Deep neural network learning can be formulated as a non-convex optimization problem. Existing optimization algorithms, e.g., Adam, can learn the models fast, but may get stuck in local optima easily. In this paper, we introduce a novel optimization a
Externí odkaz:
http://arxiv.org/abs/1805.07500
In this paper, we aim at introducing a new machine learning model, namely reconciled polynomial machine, which can provide a unified representation of existing shallow and deep machine learning models. Reconciled polynomial machine predicts the outpu
Externí odkaz:
http://arxiv.org/abs/1805.07507
In this paper, we propose to provide a general ensemble learning framework based on deep learning models. Given a group of unit models, the proposed deep ensemble learning framework will effectively combine their learning results via a multilayered e
Externí odkaz:
http://arxiv.org/abs/1805.07502
In this paper, we introduce an alternative approach, namely GEN (Genetic Evolution Network) Model, to the deep learning models. Instead of building one single deep model, GEN adopts a genetic-evolutionary learning strategy to build a group of unit mo
Externí odkaz:
http://arxiv.org/abs/1805.07508
Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years. With multiple hidden layers, deep learning models aim at computing the hierarchical feature representations of the observational dat
Externí odkaz:
http://arxiv.org/abs/1803.08631
Publikováno v:
ChemEngineering 2018, 2(4), 5
Transfer of graphene, grown by Chemical Vapor Deposition (CVD), to a substrate of choice, typically involves deposition of a polymeric layer (typically, poly(methyl methacrylate, PMMA or polydimethylsiloxane, PDMS). These polymers are quite hard to r
Externí odkaz:
http://arxiv.org/abs/1801.07338