News : nanotech

February 02 2021

Spintec spearheading the international spintronics roadmap

  • MINATEC
  • News
  • Research
Spintec is shaping the future of spintronics research, with Scientific Director Bernard Diény (first author) and four other Spintec researchers among the sixteen authors of the international spintronics roadmap published in Nature Electronics in 2020. The roadmap highlights a major trend: Spintronics, once only for data storage, is now making inroads into microelectronics. MRAM memory […] >>

February 01 2021

Magnetic 2D materials, the new path to skyrmions?

  • News
  • Research
Spintec recently teamed up with CNRS-Thales joint research unit UMPhy and China’s NIMTE to work on skyrmions. According to their results, the spin quasi-particles, which are heralded as the material for tomorrow’s magnetic memory, can be generated in transition metal dichalcogenide (TMD) monolayers.   Their work focused on Janus MnSeTe and MnSTe TMDs: In these materials, […] >>

October 05 2020

Microneedles could improve treatment of skin cancer

  • Education
  • News
  • Research
CEA-Leti and Inserm* researchers developed a polymer microneedle patch to treat sun-related skin cancer without surgery. The hundreds of tiny needles are applied to the lesion. They dissolve in less than an hour and, in the process, deliver a drug, which, when exposed to light, is activated and destroys malignant cells.The researchers determined the optimal […] >>

July 06 2020

Tomorrow’s spintronics could use 1,000 times less energy

  • News
  • Research
Researchers from Irig-CNRS and Thales published a breakthrough advance in spintronics in Nature. Rather than manipulating spin with a nanomagnet, they selected a ferroelectric material to do the job. Their novel approach uses 1,000 times less energy to write information. Like for ferromagnetic materials, the information stored is non-volatile (it is stored without the need […] >>

April 06 2020

Quantum many-body problem solved to order 15

  • Events
  • Industry
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  • Research
The finding is a major one for theoretical physics: Researchers from Irig, Institut Néel, and the Flatiron Institute (US) designed an algorithm that solves the quantum many-body problem to order 15. The quantum many-body problem describes phenomena at the atomic scale that standard approaches (“mean field approximation”) cannot model. One such example is the fact […] >>
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