Results 121 to 130 of about 102,050 (305)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

First European Conference on Computational Learning Theory (EuroCOLT'93)

, 1994
This volume contains 17 of the contributed papers presented at the 1st European Conference on Computational Learning Theory. Also included are invited presentations on the complexity of learning on neural nets, on new directions in computational learning

core  

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks

Scientific Reports
Theory of Mind is referred to the ability of inferring other’s mental states, and it plays a crucial role in social cognition and learning. Biological evidences indicate that complex circuits are involved in this ability, including the mirror neuron ...
Ashena Gorgan Mohammadi, Mohammad Ganjtabesh   +1 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

Parsons problems and computing education learning theories

Proceedings of the 25th Koli Calling International Conference on Computing Education Research
Peer ...
Claudia Szabo, Judy Sheard, Lauri Malmi, Päivi Kinnunen   +3 more
openaire   +3 more sources

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

THE INTEGRATION OF COMPUTATIONAL CHEMISTRY TO SUPPORT INTERACTIVE LEARNING MEDIA FOR SENIOR HIGHSCHOOL: AN INNOVATIVE STRATEGY TO IMPLEMENT ‘KURIKULUM MERDEKA’

Jurnal Layanan Masyarakat (Journal of Public Services)
Simulation or chemical modeling with computers is a major topic in computational chemistry. This subject is not covered in high school material, however, this method can be applied to support a more interactive learning process.
Kautsar Ul Haq, Alfinda Novi Kristanti, Hery Suwito, Nanik Siti Aminah, R. Aryabraga Rusdipoetra, Fariz Rizky Alfian, Syarifah Asyura   +6 more
doaj   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Prolegomenon to a Media Theory of Machine Learning: Compute-Computing and Compute-Computed

Media Theory, 2017
David M.
openaire   +3 more sources