Results 121 to 130 of about 53,609 (254)

The role of recoding in implicit social cognition: Investigating the scope and interpretation of the ReAL model for the implicit association test. [PDF]

PLoS One, 2021
Calanchini J, Meissner F, Klauer KC.
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

The Implicit Association Test Paradigm

, 2022
openaire   +2 more sources

Toward Predictive Theory in Single‐Atom Catalysis

Advanced Science, EarlyView.
A lifecycle‐oriented framework reframes modeling in single‐atom catalysis. By combining ensemble‐based descriptions with explicit validation against experimental observables, the approach defines the scope of theory across catalyst synthesis, activity, stability, and safety, clarifying where quantitative insight is possible and where interpretation ...
Andrea Ruiz‐Ferrando, Sharon Mitchell, Núria López, Javier Pérez‐Ramírez   +3 more
wiley   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Defensive Responses to Implicit Association Tests and Bias Awareness in an Implicit Bias Mitigation Training

Advances in Medical Education and Practice
Janice Sabin,1 Eric Mick,2 Ethan Eisdorfer,3 Majid Yazdani,4 Maria M Garcia,4 Janet Fraser Hale,5 Jill Terrien,5 Geraldine Puerto,2 Vennesa Duodu,2 Valerie Zolezzi-Wyndham,6 Joshua Rumbut,2 Joanne Calista,7 Olga Valdman,3 Stacy Potts,3 Jeroan Allison,2 ...
Sabin J, Mick E, Eisdorfer E, Yazdani M, Garcia MM, Hale JF, Terrien J, Puerto G, Duodu V, Zolezzi-Wyndham V, Rumbut J, Calista J, Valdman O, Potts S, Allison J, Pugnaire M, Tjia J   +16 more
doaj  

Implicit Association Test [PDF]

, 2013
openaire   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory

Advanced Electronic Materials, EarlyView.
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley   +1 more source