Blog
- 25/09/2020 Anisotropic Plasmons In Quasi-Metallic 2-D Materials National University of Singapore physicists have discovered new mid-infrared anisotropic collective charge excitations in quasi-metallic phase two-dimensional (2-D) transition-metal dichalcogenides (TMDs).
- 23/09/2020 CTI Participa De Ação Conjunta Para Produção De Sensor De Detecção Da Covid-19 O CTI Renato Archer, unidade de pesquisa vinculada ao MCTI, está participando de uma ação conjunta para o desenvolvimento de sensores microfabricados para a detecção rápida da COVID-19.
- 21/09/2020 Team's Flexible Micro LEDs May Reshape Future Of Wearable Technology University of Texas at Dallas researchers and their international colleagues have developed a method to create micro LEDs that can be folded, twisted, cut and stuck to different surfaces.
- 18/09/2020 A Quantum Thermometer To Measure The Coldest Temperatures In The Universe Physicists have proposed a thermometer based on quantum entanglement that can accurately measure temperatures a billion times colder than those in outer space.
- 16/09/2020 Time For A New Contender In Energy Conversion And Storage Evolutionary search has helped scientists predict the lowest energy structure of a two-dimensional (2-D) material, B2P6, with some remarkable features, including structural anisotropy and Janus geometry.
- 14/09/2020 Atomic-Level Insights Help To Reduce Degradation In Fuel Cells And Extend Their Lifetime Vehicles powered by polymer electrolyte membrane fuel cells (PEMFCs) are energy-efficient and eco-friendly, but despite increasing public interest in PEMFC-powered transportation, current performance of materials that are used in fuel cells limits their widespread commercialization.
- 11/09/2020 An Environmentally Friendly Way To Transform Silicon Into Nanoparticles Skoltech scientists and their colleagues from Lomonosov Moscow State University (MSU) have developed a new method of silicon recycling.
- 09/09/2020 AI Reactivity Predictor Considers Both Molecular And Electronic Properties Scientists in South Korea have devised a machine-learning model that can predict the chemical reactivity of organic materials.
- 04/09/2020 3-D–Printable Material Purifies Biogas At Low Cost A simple sorbent could make biogas production from dairy farms and other small-scale operations economically feasible
- 03/09/2020 The Chemistry Behind The Beirut Explosion Devastating blast at port in Lebanon blamed on poorly stored ammonium nitrate