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Thijs Versloot

Hydrogen storage in Graphene Origami nanoboxes - 2 views

pubs.acs.org/...nn500025t

hydrogen storage nanotechnology

shared by Thijs Versloot on 19 Mar 14 - No Cached
LeopoldS liked it
  • Thijs Versloot on 19 Mar 14
     
    A total storage of 9.5 wt% H2 could be reached which is above the 7.5wt% set by the DoE for market requirements of hydrogen vehicles. The nanoboxes can be opened and closed using electric fields.
Paul N

Computers Learn How to Paint Whatever You Tell Them To - 3 views

www.bloomberg.com/...aint-whatever-you-tell-them-to

AI technology fun

shared by Paul N on 08 Dec 15 - No Cached
  • Paul N on 08 Dec 15
     
    Most self-respecting artists wouldn't agree to paint a portrait of a toilet in the middle of a field. Fortunately, advancements in artificial intelligence have given computers the ability to imagine just about any scenario, no matter how bizarre, and illustrate it. Take a look at this image.
  • Thijs Versloot on 10 Dec 15
     
    Those are some creepy faces among them.. This is also just completely random isn't it?
  • Paul N on 10 Dec 15
     
    Well, biased to the data it was trained on. Computing a net is pretty deterministic. But not everything is perfectly correlated yet. Still nice progress.
Thijs Versloot

Quantum entanglement at ambient conditions in a macroscopic solid-state spin ensemble - 1 views

advances.sciencemag.org/...e1501015

technology quantum entanglement

shared by Thijs Versloot on 25 Nov 15 - No Cached
  • Thijs Versloot on 25 Nov 15
     
    Quoted from one of the authors in a separate interview: "We know that the spin states of atomic nuclei associated with semiconductor defects have excellent quantum properties at room temperature," said Awschalom, Liew Family Professor in Molecular Engineering and a senior scientist at Argonne National Laboratory. "They are coherent, long-lived and controllable with photonics and electronics. Given these quantum 'pieces,' creating entangled quantum states seemed like an attainable goal." Bringing the quantum world to the macroscopic scale could see some interesting applications in sensors, or generally entanglement-enhanced applications.
  • jcunha on 26 Nov 15
     
    They were previously working on the same concept in N-V centers in diamond (as a semiconductor). Here the advantage is that SiC could in principle be integrated with Si or Ge. Anyway its all about controlling coherence. In the next 10 years some breakthroughs are expected in the field of semiconductor spintronics, but quantum computing in this way lies still in the horizon
benjaminroussel

Magnet Finge.rs - 2 views

magnetfinge.rs

biohacking cyborg

shared by benjaminroussel on 29 Jan 19 - No Cached
  • benjaminroussel on 29 Jan 19
     
    Bio-hacking/cyborg: implanting rare-earth magnets into your fingers to sense magnetic fields. At the same time quite awesome and quite extreme.
jaihobah

Computer Scientists Close In on Unique Games Conjecture Proof - 0 views

www.quantamagazine.org/ames-conjecture-proof-20180424

INF Math CompSci

shared by jaihobah on 26 Apr 18 - No Cached
  • jaihobah on 26 Apr 18
     
    "A paper posted online in January takes theoretical computer scientists halfway toward proving one of the biggest conjectures in their field. The new study, when combined with three other recent papers, offers the first tangible progress toward proving the Unique Games Conjecture since it was proposed in 2002 by Subhash Khot, a computer scientist now at New York University. Over the past decade and a half, the conjecture - which asks whether you can efficiently color networks in a certain way - has inspired discoveries in topics as diverse as the geometry of foams and the stability of election systems. And if the conjecture can be proved, its implications will reach far beyond network-coloring: It will establish what is the best algorithm for every problem in which you're trying to satisfy as many as possible of a set of constraints - the rules in a sudoku puzzle, or the seating preferences of a collection of wedding guests, for instance."
Alexander Wittig

IBM Makes Quantum Computing Available on IBM Cloud - 1 views

www-03.ibm.com/...49661.wss

INF quantum

shared by Alexander Wittig on 12 May 16 - No Cached
jcunha liked it
  • Alexander Wittig on 12 May 16
     
    IBM for the first time ever is making quantum computing available to the public, providing access to a quantum processor via the cloud. Users can create algorithms and run experiments and get inspired by the possibilities of a quantum computer.
  • jcunha on 23 May 16
     
    Looks interesting.. Have you tried it?
  • jcunha on 07 Oct 16
     
    Mathias Troyer from ETH Zurtich gave a talk in Leiden where he showed what he wants to be the replacement to this IBM programming or the best ally of it - program quantum computers with, for instance, python code. Nice developments coming from the quantum coding field, besides the fact we are ages away from a practical quantum computer.
jaihobah

Topological insulator laser - 2 views

science.sciencemag.org/...science.aar4003.full

PHY Lasers

shared by jaihobah on 05 Feb 18 - No Cached
jcunha liked it
  • jaihobah on 05 Feb 18
     
    These are lasers whose lasing mode exhibits topologically-protected transport without magnetic fields. The underlying topological properties lead to a highly efficient laser, robust to defects and disorder, with single mode lasing even at very high gain values.
jcunha

NASA proposes a magnetic shield to protect Mars' atmosphere - 2 views

phys.org/...ic-shield-mars-atmosphere.html

Mars magnetosphere

shared by jcunha on 06 Mar 17 - No Cached
  • jcunha on 06 Mar 17
     
    In the Planetary Science Vision 2050 Workshop a cool concept for a magnetic dipole sitting at Mars L1 with an estimated field of 1-2 Tesla was proposed to shield Mars from Solar Winds and provide an elementary magnetic shielding to Mars.
jaihobah

Google's AI Wizard Unveils a New Twist on Neural Networks - 2 views

www.wired.com/...a-new-twist-on-neural-networks

AI

shared by jaihobah on 01 Nov 17 - No Cached
  • jaihobah on 01 Nov 17
     
    "Hinton's new approach, known as capsule networks, is a twist on neural networks intended to make machines better able to understand the world through images or video. In one of the papers posted last week, Hinton's capsule networks matched the accuracy of the best previous techniques on a standard test of how well software can learn to recognize handwritten digits." Links to papers: https://arxiv.org/abs/1710.09829 https://openreview.net/forum?id=HJWLfGWRb&noteId=HJWLfGWRb
  • LeopoldS on 02 Nov 17
     
    impressive!
  • LeopoldS on 02 Nov 17
     
    seems a very impressive guy :"Hinton formed his intuition that vision systems need such an inbuilt sense of geometry in 1979, when he was trying to figure out how humans use mental imagery. He first laid out a preliminary design for capsule networks in 2011. The fuller picture released last week was long anticipated by researchers in the field. "Everyone has been waiting for it and looking for the next great leap from Geoff," says Kyunghyun Cho, a professor"
Luzi Bergamin

[1107.0167] Nonlinear transformation optics and engineering of the Kerr effect - 9 views

arxiv.org/1107.0167

PHY nan optics metamaterials

shared by Luzi Bergamin on 04 Jul 11 - No Cached
LeopoldS liked it
  • Luzi Bergamin on 04 Jul 11
     
    The best paper on transformation optics written ever :-)
  • ...2 more comments...
  • jmlloren on 05 Jul 11
     
    Finally something worth to read in the MM field!. The idea is excellent, congratullations. However, I think there is a typo or mistake in the definition of l=3x10-13 m, the "waist" of the laser beam. Seems clear that 0.3 pm is too small for being a waist of any laser beam.
  • Luzi Bergamin on 05 Jul 11
     
    Thanks for your commendation. Of course, the problem with nonlinear transformation optics is the same as with linear: it's very easy to come up with theoretical descriptions of devices that have the most absurd properties, but it will be extremely hard to fabricate them. But if you have any good suggestion, please shoot! About the laser beam: Pekka made the simulations, since I am not a "Comsolist", but still I think the numbers are correct. You are right that we should not call this a laser beam. Our problem was the following: we need to have a very simple model that can be simulated exactly (full Maxwell equations) but naturally exhibits self focusing. The Gaussian beam was the simplest solution. Since our model is purely classical and moreover we do not take into account diffraction effects, the parameter "l" is of minor importance. Taking "l" much larger gives almost the same picture but requires much more computer power to simulate. I guess that's why Pekka chose an unnaturally small number.
  • jmlloren on 05 Jul 11
     
    Concerning the fabrication... as usual, no idea. I agree that this is the main drawback of MM, and certainly difficult to overcome. I would double check that number, because its value is related with the beam shape of Fig. 1 A. I believe that the simulations are correct, it's just a detail.
  • LeopoldS on 06 Jul 11
     
    wow ... still publishing despite babysitting and new job!!
pablo_gomez

paperswithcode.com added Astronomy (and other fields) - 0 views

astro.paperswithcode.com

science PHY space

shared by pablo_gomez on 05 Jan 21 - No Cached
  • pablo_gomez on 05 Jan 21
     
    Also Physics, Math, Statistics, CS , see https://portal.paperswithcode.com/
dodo47

Plenoxels: Radiance Fields without Neural Networks - 1 views

arxiv.org/2112.05131

shared by dodo47 on 11 Dec 21 - No Cached
  • dodo47 on 11 Dec 21
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