optical actuators operated in nonliquid environment with stepping resolution of sub-nanometers. The key of the actuation lies in exploiting thermoelastic waves induced by pulsed optical absorption in absorptive micro-objects to overcome friction f...
Sep 25, 2021
A University of Texas at Arlington civil engineering assistant professor is working to make concrete and cement more sustainable by adding nanoscale fibers from wood to the material.
Sep 25, 2021
Particle accelerators are essential tools in research areas such as biology, materials science and particle physics. Researchers are always looking for more powerful ways of accelerating particles to improve existing equipment and increase capacit...
Sep 25, 2021
Wood-derived cellulose nanofibers form a hydrogel in water, referred to as nanocellulose, which is a highly promising material for various biological applications. However, nanocellulose is rather simple in terms of chemical composition compared t...
Sep 25, 2021
Scientists are working hard to engineer the properties of nanostructures, such as atoms and molecules, to realize efficient logic devices that can operate at the fundamental scale of matter - the scale of atoms. To make “engineering” possible at t...
Sep 25, 2021
A 2013 study by Pérez et al. reported a very high accumulation of the industrial chemical perfluorobutanoic acid (PFBA) in human lungs and kidneys. The German Federal Institute for Risk Assessment (BfR) checked these results using a more precise q...
Sep 25, 2021
A new, 3D-printable polymer nanocomposite ink developed by engineers has incredible properties like conducting electricity and high tensile strength -- and many applications in aerospace, medicine and electronics.
Sep 24, 2021
IonQ’s quantum computers are now powerful enough to demonstrate a state-of-the-art quantum algorithm from Goldman Sachs and QC Ware that could one day speed up Monte Carlo simulations. These simulations are key for problem solving in many industri...
Sep 24, 2021
Recently, adiabatic quantum computing has been successfully used in machine learning tasks. One specific type of machine learning, Reinforcement Learning (RL), usually runs efficiently on classical computers.
Sep 24, 2021
In a new publication from Opto-Electronic Advances, researchers led by Professor Xu Chunxiang, Southeast University, Nanjing, China discuss nano-buffer controlled electron tunneling to regulate heterojunctional interface emission.
Sep 24, 2021
