Results 71 to 80 of about 86,402 (258)

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Computational Theories of Curiosity-Driven Learning

, 2018
What are the functions of curiosity? What are the mechanisms of curiosity-driven learning?We approach these questions about the living using concepts and tools from machine learning and developmental robotics. We argue that curiosity-driven learning enables organisms to make discoveries to solve complex problems with rare or deceptive rewards.
openaire   +4 more sources

Embedded Ferroelectric Nanoclusters Can Drive Polarization Reversal in a Non‐Ferroelectric Polar Film via the Proximity Effect

Advanced Functional Materials, EarlyView.
Ferroelectric nanoclusters create local internal fields in a normally non‐switchable polar film because of polarization mismatch at their interfaces. That field opposes polarization in the regions with larger polarization and reinforces polarization in the regions with smaller polarization.
Anna N. Morozovska, Eugene A. Eliseev, Sergei V. Kalinin, Long‐Qing Chen, Dean R. Evans, Venkatraman Gopalan   +5 more
wiley   +1 more source

Mechanistic Control of C─H Bond Activation and C─C Coupling in Light‐Driven Methane Conversion to C2+ Products over Multifunctional Photocatalysts

Advanced Functional Materials, EarlyView.
Methane photocatalytic activation under mild conditions remains a formidable challenge in the synthesis of solar fuels. In this review, we emphasize the growing importance of multifunctional materials and hybrid systems within a unified mechanistic framework that integrates selective C─H bond activation, formation and control of intermediates, C─C ...
Di Hu, Yuheng Jiang, Vitaly V. Ordomsky, Bastian Mei, Zhiyong Tang, Andrei Y. Khodakov   +5 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Roles of programming self-efficacy, cognitive styles, and self-regulated learning strategies on computational thinking in computer programming

Humanities & Social Sciences Communications
This study explored the relationships among programming self-efficacy, learning strategies, and computational thinking on the basis of self-regulation theory.
Qi Li, Qiang Jiang, Jyh-Chong Liang, Weiyan Xiong, Wei Zhao   +4 more
doaj   +1 more source

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

Using computational models of learning to advance cognitive behavioral therapy

Communications Psychology
Many 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, Peter Hitchock, Sashank Pisupati, Gila Schoen, Yael Niv   +4 more
doaj   +1 more source

Interplay of computational identity, learning experiences, programming self-efficacy, and computing aspirations for adolescents in urban China

Educational Technology & Society
Computational thinking (CT) has attracted global research attention. However, the relationship between CT education and later aspirations in computing careers was less explored, and less attention was paid to understanding the intermediary role of ...
Jiachu Ye, Xiaoyan Lai, Gary Ka Wai Wong, Nantian He   +3 more
doaj   +1 more source