5-year Journal Impact Factor 2.2 (2023) Submission to first decision (median) 15 days Downloads 260.3k (2024) Collection AI and Emerging Approaches in Polymer Processing and Optimization In collaboration with the European Materials Research Society, this special issue of MRS Communications will target...
通讯夫人(Mrs Communications)是一本由Springer International Publishing出版的一本MATERIALS SCIENCE, MULTIDISCIPLINARY学术刊物,主要报道MATERIALS SCIENCE, MULTIDISCIPLINARY相关领域研究成果与实践。本刊已入选来源期刊,该刊创刊于2012年,出版周期4 issues/year。2021-2022年最新版WOS分区等级:Q3,2023年发布的影响因子为1.8...
immune protection (pore size ~ 0.45 µm), with good safety profiles, minimal adverse events and evidence of insulin, glucagon, and NKX6-1 (a transcription factor in β-cells) from hESC lines (pancreatic endoderm cells, or PEC)in vivo,[56]but subsequent fibrosis and hypoxia remain an...
degree in electronics and communications from INAOE, Tonantzintla, Mexico, in 2008 Since 2015, he has been a Research Professor with the Universidad Veracruzana, He is currently director of the Instituto Tecnológico Superior de Poza Rica, and belongs to SNII-CONACHYT, México, with Level I. ...
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Status Open for submissions Submission deadline 22 September 2025 Collection Advanced Polymers and Nanostructured Materials MRS Communications will publish a topical issue that will cover the design, synthesis, and characterization of advanced polymers and the... ...
The curing time of silicone elastomers is a crucial factor that influences the adhesion between printed layers. For microfluidic devices, the overall robustness of the devices would be compromised if the adhesion of the layers were interrupted. The curing process determines the bonding strength between...
Stevens of Imperial College London (Mid-Career Researcher Award), and Kwadwo Osseo-Asare of The Pennsylvania State University (MRS Impact Award).MRS Communications Editor-in-Chief Rigoberto C. Advincula (left) introduces Andreas Lendlein of Helmholtz-Zentrum Hereon who presented the MRS Communications...
Deep learning requires big data: In many cases, the biggest limiting factor for applying deep learning is lack of sufficient training data. As discussed before, deep learning requires big data in general. Although big, curated, and labeled datasets do exist for several problems like image classifi...
Hybrid inorganic–organic perovskites have emerged over the last 5 years as a promising class of materials for optoelectronic applications. Most notab