Results 221 to 230 of about 275,374 (248)

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Quantum Chemistry-Driven Molecular Inverse Design of Stable Isomers with Data-Free Reinforcement Learning. [PDF]

open access: yesJ Chem Theory Comput
Calcagno F   +5 more
europepmc   +1 more source

Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting <i>E. coli O157:H7</i> in poultry meat. [PDF]

open access: yesFront Artif Intell
Tian Y   +8 more
europepmc   +1 more source

CasMiner: a deep-learning tool for high-throughput mining and rational design of efficient Cas9. [PDF]

open access: yesNatl Sci Rev
Xu G   +14 more
europepmc   +1 more source

Action Learning, Fragmentation, and the Interaction of Single-, Double-, and Triple-Loop Change

The Journal of Applied Behavioral Science, 1999
The action-learning framework is traditionally used to summarize complex change efforts as one of three methods: single-, double-, or triple-loop. Although this summary is quite useful for some kinds of organizational analysis, it can oversimplify and thus ignore the fragmented, contradictory nature of change.
Erica Gabrielle Foldy   +1 more
openaire   +1 more source

Revitalizing double‐loop learning in organizational contexts: A systematic review and research agenda

European Management Review, 2023
Mercedes Victoria Auqui Caceres   +1 more
exaly  

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