Results 151 to 160 of about 53,776 (298)

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

Advanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu, Xiaoming Shi, Zhaochen Xi, Shouzhe Dong, Changqing Guo, Rongzhen Gao, Letao Yang, Jing Wang, Di Zhou, Houbing Huang   +9 more
wiley   +1 more source

Assessing the validity of the Self versus other interest implicit association test. [PDF]

PLoS One, 2020
Thornton EM, Aknin LB.
europepmc   +1 more source

A comparison of self-reported risk and protective factors and the death implicit association test in the prediction of future suicide attempts in adolescent emergency department patients. [PDF]

Psychol Med, 2023
Brent DA, Grupp-Phelan J, O'Shea BA, Patel SJ, Mahabee-Gittens EM, Rogers A, Duffy SJ, Shenoi RP, Chernick LS, Casper TC, Webb MW, Nock MK, King CA, for Pediatric Emergency Care Applied Research Network (PECARN).   +13 more
europepmc   +1 more source

Using the Implicit Association Test to Assess Children's Implicit Attitudes Toward Smoking [PDF]

, 2010
Judy A. Andrews, Sarah E. Hampson, Anthony G. Greenwald, Judith S. Gordon, Chris Widdop   +4 more
openalex   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source

Re-assessing the incremental predictive validity of Implicit Association Tests

, 2019
Jordan Axt, Nick Buttrick, Charles R. Ebersole, Jacalyn M. Huband   +3 more
openalex   +1 more source

Using Dopants as Agents to Probe Key Electronic Properties of Organic Semiconductors

Advanced Electronic Materials, EarlyView.
Dopants are typically used in organic electronics to enhance conductivity, but here their potential is demonstrated as probes for fundamental material properties. By integrating experimental data and multiscale simulations, it is shown how dopant ionization and conductivity measurements enable accurate extraction of ionization potential and Coulomb ...
Artem Fediai, Franz Symalla, Tobias Neumann, Wolfgang Wenzel   +3 more
wiley   +1 more source

Supplementary Material 4 from Developing the implicit association test to uncover hidden preferences for sustainable drainage systems

, 2019
Emily O’Donnell, Shaun Maskrey, Glyn Everett, Jessica Lamond   +3 more
openalex   +1 more source

Insights on SEI Growth and Properties in Na‐Ion Batteries via Physically Driven Kinetic Monte Carlo Model

Advanced Energy Materials, EarlyView.
The novel kinetic Monte Carlo model presented here incorporates spatially‐ and time‐dependent electrical potential, which enables the precise study of the solid electrolyte interphase formation in Na‐ion batteries. The effects of electrolyte composition and charging conditions on the growth and behavior of the solid electrolyte interphase during the ...
Kie Hankins, Miftahussurur Hamidi Putra, Janika Wagner‐Henke, Axel Groß, Ulrike Krewer   +4 more
wiley   +1 more source

Are questionable research practices considered a successful career strategy? A novel implementation of the implicit association test. [PDF]

Scientometrics
Velicu A, Winter F, Rathmann J, Rauhut H.   +3 more
europepmc   +1 more source