Results 111 to 120 of about 104,108 (310)

Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method

open access: yesIET Networks, Accepted Article., 2022
This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley   +1 more source

Optical properties of bialkali photocathodes

open access: yes, 2004
The optical properties of the `bialkali' KCsSb and RbCsSb photomultiplier cathodes have been experimentally investigated in the visible range. The measurements carried out include the absolute reflectance at near-normal incidence, the polarization ...
Alimonti   +14 more
core   +1 more source

Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes

open access: yesAdvanced Energy Materials, EarlyView.
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran   +7 more
wiley   +1 more source

Steady state fluctuations of the dissipated heat for a quantum stochastic model

open access: yes, 2006
We introduce a quantum stochastic dynamics for heat conduction. A multi-level subsystem is coupled to reservoirs at different temperatures. Energy quanta are detected in the reservoirs allowing the study of steady state fluctuations of the entropy ...
Attal S.   +12 more
core   +1 more source

Stability of Perovskite Indoor Photovoltaics: A Focused Review and a Call for Standardized Stability Reporting

open access: yesAdvanced Energy Materials, EarlyView.
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo   +7 more
wiley   +1 more source

Optimal non-reversible linear drift for the convergence to equilibrium of a diffusion

open access: yes, 2012
We consider non-reversible perturbations of reversible diffusions that do not alter the invariant distribution and we ask whether there exists an optimal perturbation such that the rate of convergence to equilibrium is maximized.
Lelièvre, Tony   +2 more
core   +3 more sources

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao   +4 more
wiley   +1 more source

Multidimensional Analysis of Blockchain Data Using an ETL-based Approach

open access: green, 2022
Camozzi, Giorgio   +2 more
openalex   +1 more source

Nonlinear optical response in higher fullerenes

open access: yes, 1997
Nonlinear optical properties of extracted higher fullerenes - C70, C76, C78, and C84 - are theoretically investigated. Magnitudes of off-resonant third-harmonic-generation are calculated by the intermediate exciton theory.
Harigaya, K.
core   +2 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy