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Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source
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Self-Regulated Learning

2023
Students become experts in their own learning through the process of self-regulated learning (SRL). Neither being a mental capacity nor a performance dexterity, self-regulation is the self-directed procedure through which learners translate their psychological capacities into task-related skills in several situations, such as academics, athletics ...
Amina Parveen   +4 more
  +4 more sources

Self-Regulated Learning

2011
This chapter assumes the importance of developing Self-Regulated Learning (SRL) competences in students in order to cope with the challenges of today’s and tomorrow’s society. To achieve this, it is claimed that it is crucial to train teachers who are aware of what SRL is and are able to support their students in developing these abilities.
Delfino, M., Persico, D.
openaire   +3 more sources

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