The Korea Institute of Machinery & Materials(KIMM) developed a roll-based damage-free transfer technique that allows two-dimensional (2D) nanomaterials to be transferred into wafer scale without damage. The proposed technique has a variety of applications from transparent displays and semiconductors to displays for self-driving cars, and is expected to accelerate the commercialization of 2D nanomaterial-based high-performance devices.
The Research Center for Open Science and Data Platform of the National Institute of Informatics has developed a research data management platform called GakuNin RDM for systematically managing and sharing prepublication research data, and began its full operation on Monday, February 15th.
Credit: Orlin Velev, NC State University
3D-printable gels with improved and highly controlled properties can be created by merging micro- and nano-sized networks of the same materials harnessed from seaweed, according to new research from North Carolina State University. The findings could have applications in biomedical materials - think of biological scaffolds for growing cells - and soft robotics.
Described in the journal
Nature Communications, the findings show that these water-based gels - called homocomposite hydrogels - are both strong and flexible. They are composed of alginates - chemical compounds found in seaweed and algae that are commonly used as thickening agents and in wound dressings.
E-Mail
The ease with which anyone can create online content for free, especially on social media, has led to superabundance of information being one of the defining characteristics of today s communication systems. This situation has resulted in increasingly intense competition for attention, which has become a scarce good. The researchers from the Complex Systems group (CoSIN3) at the UOC s Internet Interdisciplinary Institute (IN3) María José Palazzi and Albert Solé professor at the Faculty of Computer Science, Multimedia and Telecommunications? , led by Javier Borge, have participated in the design of an ecology-inspired mathematical model that makes it possible to break down and predict interaction patterns in a system as complex as the Twitter social network.