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Study Compares Effective Magnetic Moments of Different Multicore Nanoparticle Systems

Magnetic nanoparticles, a class of nanoparticles that can be manipulated by magnetic fields, have a wide range of technical and biomedical applications, including magnetic hyperthermia, targeted drug delivery, new magnetic storage media and nanorobots.

17 Jun 2020

At VLSI 2020, CEA-Leti Demos New Architecture for HPC Devices Using Gate-All-Around Nanosheet Fabrication Process

CEA-Leti has demonstrated fabrication of a new gate-all-around (GAA) nanosheet device as an alternative to FinFET technology targeting high-performance (HPC) applications such as smartphones, laptops, and mobile systems with data collection and processing involving low-power and high-speed operation.

16 Jun 2020

New 2D Compounds with Similar Atomic Lattice Could Form Excitons

Mixing and matching computational models of 2D materials led scientists at Rice University to the realization that excitons -- quasiparticles that exist when electrons and holes briefly bind -- can be manipulated in new and useful ways.

16 Jun 2020

Current-Voltage Curve of Graphene Nanoribbons Measured Using TEM

Researchers at Japan Advanced Institute of Science and Technology (JAIST) have successfully measured the current-voltage curve of graphene nanoribbons (GNRs) that were suspended between two electrodes.

16 Jun 2020

New Method to Create Customizable Nanocarbons on Flexible Materials

Fabrication of flexible and wearable electronics often requires integrating various types of advanced carbon nanomaterials - such as graphene, nanotubes, and nanoporous carbon - because of their remarkable electrical, thermal, and chemical properties.

16 Jun 2020

New Technique Developed for Self-Assembling Nanostructures

A new technique has been developed by scientists at Carnegie Mellon University for self-assembling nanostructures with gamma-modified peptide nucleic acid (?PNA)—an artificial imitator of DNA.

15 Jun 2020

Optimal Nanostructure Helps Minimize Thermal Conductivity of Semiconductor Materials

Professor Junichiro Shiomi et al. from The University of Tokyo aimed to reduce the thermal conductivity of semiconductor materials by reducing the internal nanostructure, and successfully minimized thermal conductivity by designing, fabricating, and evaluating the optimal nanostructure-multilayer materials through materials informatics (MI), which combines machine learning and molecular simulation.

15 Jun 2020