Results 41 to 50 of about 10,012 (245)

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Relations between academic boredom, academic achievement, ICT use, and teacher enthusiasm among adolescents

Computers & Education, 2023
1
Francesca Borgonovi, Magdalena Pokropek, Artur Pokropek   +2 more
openaire   +3 more sources

Dynamic Single‐Binding Event Profiling With on‐Chip Microlenses for Wash‐Free Digital Biosensing

Advanced Science, EarlyView.
A microlens‐enhanced platform enables real‐time tracking and digital counting of single‐binding events using conventional bright‐field microscopy. Amplified scattering signals from gold nanoparticle labels and kinetic signature analysis allow wash‐free discrimination between specific and nonspecific interactions, while providing kinetic and mechanistic
Tingting Zhan, Lianyu Lu, Guoqiang Gu, Pengcheng Zhang, Jienan Shen, Xiaotian Tan, Wei Ye, Shi Hu, Yi Zhang, Hao Yu, Shaoqin Liu, Hairong Zheng, Hui Yang   +12 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Frontier Advances of Terpyridine–Zn(II) Complexes: From Molecular Design to Smart Functional Materials

Advanced Science, EarlyView.
Tpy–Zn complexes serve as versatile building blocks for the modular assembly of functional materials, including polymers, gels, MOFs, cages, and composites through programmed noncovalent interactions, empowering practical applications in visual molecular recognition, smart functional materials, and photocatalytic transformations. ABSTRACT As one of the
Lixin Duan, Qingshu Zheng, Yifan Fan, Caiyun Fang, Tao Tu   +4 more
wiley   +1 more source

Dynamic multi‐objective optimisation of complex networks based on evolutionary computation

IET Networks, EarlyView., 2022
Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley   +1 more source

Academic Boredom in Medical Students: The Role of Perceived Classroom Goal Structures and Task Value [PDF]

Pizhūhish dar Āmūzish-i ̒ulūm-i Pizishkī
Introduction: Academic boredom is a prevalent issue in educational settings, affecting a significant proportion of students, therefore, Identifying its underlying factors is crucial.
Majid Sadoughi, Najmeh Eskandari
doaj  

Perceived academic control, task value and digital distraction during online learning: The mediating role of boredom [PDF]

Nastava i Vaspitanje
Focusing and regulating attention play a major role in avoiding digital distractions and maintaining focus on academic activities. Boredom is known to divert attention away from activities that lack value and towards activities that are stimulating ...
Cvetković Kristina, Opsenica-Kostić Jelena   +1 more
doaj   +1 more source

Mindsets and Self-Concepts About Self-Regulated Learning: Their Relationships With Emotions, Strategy Knowledge, and Academic Achievement

Frontiers in Psychology, 2021
Being a self-regulated learner and believing that deliberate strategy use might be an effective way of overcoming learning challenges is important for achieving academic success.
Yves Karlen, Carmen Nadja Hirt, Alina Liska, Ferdinand Stebner   +3 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source