Results 131 to 140 of about 7,339,380 (346)
The Implementation of Generative Learning With Open-Ended Approach to Improve Mathematics Student Achievements on Muhammadiyah 44 Pamulang [PDF]
The aims of this paper is to present the results of research on the implementation of generative learning with open-ended approach (PGPOE) to improve Mathematics student achievements on SMP Muhammaditah 44 Pamulang.
Yumiati, Yumiati
core
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
A mathematical guide to operator learning
Operator learning aims to discover properties of an underlying dynamical system or partial differential equation (PDE) from data. Here, we present a step-by-step guide to operator learning. We explain the types of problems and PDEs amenable to operator learning, discuss various neural network architectures, and explain how to employ numerical PDE ...
Nicolas Boullé, Alex Townsend
openaire +3 more sources
This work critically reviews MXenes as highly effective multifunctional nanomaterials for the adsorption of radio‐contaminants, demonstrating a remarkable adsorption capacity of up to 1376.75 mg/g and cyclic stability of 2–8 cycles, with complexation, electrostatic interactions, and the numerical strength of MXene active sites playing a key operational
Stephen Sunday Emmanuel +1 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
This study aims to analyze the influence of adversity quotient, learning interest, and parental attention on mathematics learning outcomes of eighth-grade students of SMP Negeri 10 Palu.
Tika Widiani +3 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Evolution of OLED Lamination Technology With Development of Display Form Factors
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
wiley +1 more source
The present study discusses the effect of the realistic mathematics education learning model on the mathematics learning outcomes of grade II students of State Elementary School 173472 Sijarango, Pakkat District, Humbang Hasundutan in the academic year ...
Sarimauli Simamora +5 more
doaj +1 more source

