Results 81 to 90 of about 8,664,315 (234)

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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Degree of motivation and acquisition of visuospatial perception after the incorporation a video game in the learning of mathematical knowledge. [PDF]

Heliyon, 2022
Guerra-Antequera J, Antequera-Barroso JA, Revuelta-Domínguez FI.   +2 more
europepmc   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Describing a teacher's pedagogical mathematical knowledge in STEM teaching

Describing and analyzing teaching practice has been a focus of researchers interested in the interaction and connections between teachers’ content knowledge and their pedagogical knowledge.
Hay, Ian, Fielding-Wells, Jill, Callingham, Rosemary, Getenet, Seyum, Fielding, Jill   +4 more
core   +1 more source

Assessment and feedback: an experience of teaching innovation

Frontiers in Education
Assessing the learning process of students is not easy, as it is difficult to verify that their learning is adequate. In this research, several individual tests are carried out to assess in a continuous, controlled, formative and summative way whether ...
Maria Teresa Costado
doaj   +1 more source

A Central Edge Selection Based Overlapping Community Detection Algorithm for the Detection of Overlapping Structures in Protein–Protein Interaction Networks

Molecules, 2018
Overlapping structures of protein–protein interaction networks are very prevalent in different biological processes, which reflect the sharing mechanism to common functional components.
Fang Zhang, Anjun Ma, Zhao Wang, Qin Ma, Bingqiang Liu, Lan Huang, Yan Wang   +6 more
doaj   +1 more source

The contributions of working memory domains and processes to early mathematical knowledge between preschool and first grade. [PDF]

Psychol Res, 2022
De Vita C, Costa HM, Tomasetto C, Passolunghi MC.   +3 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Cultivating a Space for Critical Mathematical Inquiry through Knowledge-Eliciting Mathematical Activity

Occasional Paper Series, 2019
Learning mathematics becomes more effective when teachers leverage their students' mathematical and everyday knowledge as resources for instruction. Thus, tasks that reveal these forms of knowledge would be especially useful to teachers.
Debasmita Basu, Steven Greenstein
doaj   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

Advanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin, Tianyi Wang, Xingyu Wang, Kaifu Xu, Yuzhou Wang, Chengyin Wang, Bing Sun, Guoxiu Wang   +7 more
wiley   +1 more source