Results 71 to 80 of about 2,686,988 (365)

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems
Materials science has traditionally relied on a combination of experimental techniques and theoretical modeling to discover and develop new materials with desired properties.
E. Chávez‐Ángel, M. Eriksen, A. Castro-Álvarez, Jose‐Hugo Garcia, Marc Botifoll, Oscar Avalos-ovando, Jordi Arbiol, A. Mugarza   +7 more
semanticscholar   +1 more source

Review of the Synergies Between Computational Modeling and Experimental Characterization of Materials Across Length Scales

, 2015
With the increasing interplay between experimental and computational approaches at multiple length scales, new research directions are emerging in materials science and computational mechanics.
Dingreville, Rémi, Karnesky, Richard A., Puel, Guillaume, Schmitt, Jean-Hubert   +3 more
core   +3 more sources

Cryogenic Stress-Driven Grain Growth Observed via Microcompression with in situ Electron Backscatter Diffraction [PDF]

, 2020
The deformation of materials at cryogenic temperature is of interest for space, arctic, and fundamental science applications. In this work, a custom-built cooling system attached to a commercial picoindenter was used for in situ cryogenic ...
Bair, JL, Frazer, D, Homer, ER, Hosemann, P   +3 more
core  

Towards Self-Assembling 3D-Printed Shapes Through Βiomimetic Μechanical Interlocking

Biomimetics
While early studies on macroscopic self-assembly peaked in the late 20th century, recent research continues to explore and expand the field’s potential through innovative materials and external control strategies.
Tino Marte, Savvas Koltsakidis, Thomas Profitiliotis, Emmanouil Tzimtzimis, Dimitrios Tzetzis   +4 more
doaj   +1 more source

Cryogenic electron microscopy reveals that applied pressure promotes short circuits in Li batteries

iScience, 2021
Summary: Li metal anodes are enticing for batteries due to high theoretical charge storage capacity, but commercialization is plagued by dendritic Li growth and short circuits when cycled at high currents.
Katharine L. Harrison, Laura C. Merrill, Daniel Martin Long, Steven J. Randolph, Subrahmanyam Goriparti, Joseph Christian, Benjamin Warren, Scott A. Roberts, Stephen J. Harris, Daniel L. Perry, Katherine L. Jungjohann   +10 more
doaj   +1 more source

A non-destructive analytic tool for nanostructured materials : Raman and photoluminescence spectroscopy

, 2004
Modern materials science requires efficient processing and characterization techniques for low dimensional systems. Raman spectroscopy is an important non-destructive tool, which provides enormous information on these materials. This understanding is not
A. Singha, Anushree Roy, Grethlein C. E., Lamb H., P. Dhar, Rytov S. M.   +5 more
core   +1 more source

Extreme pressure conditions of BaS based materials: Detailed study of structural changes, band gap engineering, elastic constants and mechanical properties [PDF]

Processing and Application of Ceramics, 2019
A Density Functional Theory (DFT) study has been performed in order to investigate behaviour of barium sulfide (BaS) at high pressures, and relationship between computed properties, in great detail.
Dejan Zagorac, Jelena Zagorac, Klaus Doll, Maria Čebela, Branko Matović   +4 more
doaj   +1 more source

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

Journal of Chemical Information and Modeling, 2019
The number of published materials science articles has increased manyfold over the past few decades. Now, a major bottleneck in the materials discovery pipeline arises in connecting new results with the previously established literature.
Leigh Weston, V. Tshitoyan, John Dagdelen, O. Kononova, Amalie Trewartha, K. Persson, G. Ceder, Anubhav Jain   +7 more
semanticscholar   +1 more source

Insightful classification of crystal structures using deep learning

, 2018
Computational methods that automatically extract knowledge from data are critical for enabling data-driven materials science. A reliable identification of lattice symmetry is a crucial first step for materials characterization and analytics.
Ghiringhelli, L. M., Kumar, D., Scheffler, M., Ziletti, A.   +3 more
core   +2 more sources

Transmission electron microscopy analysis of some transition metal compounds for energy storage and conversion [PDF]

, 2017
This work was preliminarily supported by the National Key Research Program of China (2016YFA0202604), the Natural Science Foundation of China (21476271), NSFC-RGC (21461162003) and Natural Science Foundation (2014KTSCX004 and 2014A030308012) of Guangdong
Fan, Wenjie, Liang, Chaolun, Tong, Yexiang, Wang, Fuxin, Zhou, Wuzong   +4 more
core   +1 more source