Results 81 to 90 of about 283,757 (265)

Virtual learning environment for interactive engagement with advanced quantum mechanics

open access: yes, 2016
A virtual learning environment can engage university students in the learning process in ways that the traditional lectures and lab formats can not.
Bason, Mark   +6 more
core   +2 more sources

Furan‐Substituted Phosphine‐Oxide as an Efficient Interfacial Modifier for Wide‐Bandgap Perovskite Solar Cells

open access: yesAdvanced Functional Materials, EarlyView.
We report phosphine‐oxide interlayers for wide‐bandgap perovskite solar cells, in which tuned P = O Lewis basicity enables selective passivation of buried NiOx/perovskite interfaces and introduces interfacial dipoles that strengthen the built‐in field.
JeeHee Hong   +6 more
wiley   +1 more source

Quantum machine learning for quantum anomaly detection

open access: yes, 2017
Anomaly detection is used for identifying data that deviate from `normal' data patterns. Its usage on classical data finds diverse applications in many important areas like fraud detection, medical diagnoses, data cleaning and surveillance.
Liu, Nana, Rebentrost, Patrick
core   +1 more source

Quantum extremal learning

open access: yesQuantum Machine Intelligence
We propose a quantum algorithm for `extremal learning', which is the process of finding the input to a hidden function that extremizes the function output, without having direct access to the hidden function, given only partial input-output (training) data.
Varsamopoulos, Savvas   +8 more
openaire   +2 more sources

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu   +5 more
wiley   +1 more source

Machine Learning: Quantum vs Classical

open access: yesIEEE Access, 2020
Encouraged by growing computing power and algorithmic development, machine learning technologies have become powerful tools for a wide variety of application areas, spanning from agriculture to chemistry and natural language processing.
Tariq M. Khan, Antonio Robles-Kelly
doaj   +1 more source

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

open access: yesAdvanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo   +2 more
wiley   +1 more source

Pengaruh Pendekatan Pembelajaran dan Kecerdasan Interpersonal Terhadap Hasil Belajar IPA Terpadu

open access: yesJurnal Teknologi Pendidikan, 2014
This research aims to reveal the effect of instructional approaches and interper- sonal intelligency outcomes of integrated science. The experimental group used quantum learning approach by utilizing the educational, while the control group used ...
Cerdik Ritonga
doaj   +1 more source

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

open access: yes, 2017
Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions.
Benedetti, Marcello   +3 more
core   +2 more sources

Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee   +5 more
wiley   +1 more source

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