Results 51 to 60 of about 7,211,642 (371)
Materials science and engineering: New vision in the era of artificial intelligence [PDF]
Scientific discovery evolves from the experimental, through the theoretical and computational, to the current data-intensive paradigm. Materials science is no exception, especially for computational materials science. In recent years, great achievements have been made in the field of materials science and engineering (MSE). Here, we review the previous
arxiv
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art [PDF]
The availability and easy access of large scale experimental and computational materials data have enabled the emergence of accelerated development of algorithms and models for materials property prediction, structure prediction, and generative design of materials.
arxiv
Low‐density lipoprotein receptor‐related protein 6 (LRP6) is a key receptor for the Wnt antagonist Dickkopf1 (DKK1). DKK1 protein expression is induced in a bleomycin (BLM)‐induced lung injury model. We show that DKK1 induces proinflammatory and profibrotic genes in lung fibroblasts.
Eun‐Ah Sung+6 more
wiley +1 more source
Materials Science in Finland [PDF]
This Special Issue is dedicated to current research activities on Materials Science in Finland, providing a collection of outstanding contributions from diverse research groups on the recent progress regarding silicon and silica nanomaterials, DNA nanotechnology, micro/nano‐motors, biomass‐based nanostructures, nanocellulose, 2D layered materials ...
openaire +3 more sources
We present the first solution structure of the Ca2+‐depleted LETM1 F‐EF‐hand through a D676A/N678A Ca2+ binding‐deficient mutant, revealing a closed hydrophobic cleft caused by a unique F1‐helix pivot. The apo LETM1 F‐EF‐hand exhibits regiospecific hot and cold unfolding, sensitivity to physiological pH changes and potential for promiscuous heterotypic
Qi‐Tong Lin+2 more
wiley +1 more source
Machine learning application in the life time of materials [PDF]
Materials design and development typically takes several decades from the initial discovery to commercialization with the traditional trial and error development approach. With the accumulation of data from both experimental and computational results, data based machine learning becomes an emerging field in materials discovery, design and property ...
arxiv
Recent Breakthrough in AI-Driven Materials Science: Tech Giants Introduce Groundbreaking Models [PDF]
A close look of Google's GNoME inorganic materials dataset [Nature 624, 80 (2023)], and 11 things you would like to know.
arxiv +1 more source
Materials Cartography: Representing and Mining Material Space Using Structural and Electronic Fingerprints [PDF]
As the proliferation of high-throughput approaches in materials science is increasing the wealth of data in the field, the gap between accumulated-information and derived-knowledge widens. We address the issue of scientific discovery in materials databases by introducing novel analytical approaches based on structural and electronic materials ...
arxiv +1 more source
The colors of seven shades of a conventional composite and five shades of a microfilled composite were measured by reflection spectrophotometry at three thicknesses and for two backgrounds.
C.L. Yeh+4 more
core +1 more source
LHCPs are transported to the thylakoid membrane via the (cp)SRP pathway. This process involves a transit complex of (cp)SRP43, (cp)SRP54 and LHCP, which interacts with (cp)FtsY and Alb3 at the membrane. GTP hydrolysis by (cp)SRP54 and (cp)FtsY triggers complex dissociation.
Victor Zegarra+7 more
wiley +1 more source