Results 111 to 120 of about 12,936,285 (295)
Using computational models of learning to advance cognitive behavioral therapy
Communications PsychologyMany psychotherapy interventions have a large evidence base and can help a substantial number of people with symptoms of mental health conditions. However, we still have little understanding of why treatments work.
Isabel M. Berwian +4 more
doaj +1 more source
Computational theories of learning
This research paper, authored by Disha (2025), introduces a novel theoretical framework titled Computational Theories of Learning, which seeks to unify cognitive science, artificial intelligence, and mathematical computation into a coherent understanding of how learning emerges, evolves, and self-optimizes within dynamic environments.
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Advanced Materials, EarlyView.Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He +3 more
wiley +1 more source
Advanced Materials, EarlyView.ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Spectrum prediction improvement with phenomenological statistical learning
Frontiers in NanotechnologyStatistical learning can be used for spectrum prediction, significantly reducing the large computational resources required by simulation software. However, traditional statistical learning methods face challenges such as interpretability and issues with
Zijian Zhang
doaj +1 more source
Advanced Materials, EarlyView.Our work introduces a new framework that fundamentally changes how orientation in bismuth oxyhalide systems is approached. Comprehensive experiments, backed by theoretical models, reveal the pivotal role of halide anions to modify the van der Waals stacking energies required to direct orientation. Our method enables the fabrication of near perfect (001)
Gabriel Aygur +10 more
wiley +1 more source
ChemElectroChemThis review exploits the crucial role of computational methods in discovering and optimizing materials for redox flow batteries (RFBs). Integration of high‐throughput computational screening (HTCS) and machine learning (ML) accelerates materials ...
Lina Tang +3 more
doaj +1 more source
Automatically Learning Qualia Structures from the Web [PDF]
, 2005 Cimiano P, Wenderoth J. Automatically Learning Qualia Structures from the Web. In: Baldwin T, Korhonen A, Villavicencio A, eds. Proceedings of the ACL Workshop on Deep Lexical Acquisition.
Wenderoth, Johanna +4 more
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