Electronics & Semiconductors
Our lives today are governed by electronics in all shapes and forms. Electronics, in turn, are governed by their batteries. However, the traditional lithium-ion batteries (LIBs), that are widely used in electronic devices, ...
Jun 1, 2021
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Engineering
Researchers at UniSA have developed a cost-effective technique that could deliver safe drinking water to millions of vulnerable people using cheap, sustainable materials and sunlight.
Apr 16, 2021
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Engineering
A trio of researchers from the University of Innsbruck and the Free University of Bolzano has calculated the effect of positive radiation due to the albedo-climate penalty on hydropower dammed reservoirs. In their paper published ...
Energy & Green Tech
Building façades and pavements in Dutch and Italian cities are being turned into smart, energy-harvesting surfaces and equipped with sensors to power, heat and cool spaces and even monitor roads.
Jul 7, 2020
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10
Energy & Green Tech
The search for renewable energy sources, which include wind, solar, hydroelectric dams, geothermal, and biomass, has preoccupied scientists and policymakers alike, due to their enormous potential in the fight against climate ...
Jun 9, 2020
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Energy & Green Tech
Electrical energy derived from renewable sources could be used to rearrange bonds in carbon dioxide (CO2) and water molecules into complex hydrocarbons, which can then be burnt to produce new energy and CO2, ultimately enabling ...
Engineering
Most structures and materials have defects, and if the conditions are right, these defects can lead to the initiation and propagation of cracks. Finding out where and with what orientation a surface crack is most likely to ...
Mar 26, 2020
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132
Engineering
A research team led by scientists from the City University of Hong Kong (CityU) has recently developed a droplet-based electricity generator (DEG) with a field-effect transistor (FET)-like structure that allows for high energy ...
Feb 5, 2020
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Machine learning & AI
Olli-Pekka Koistinen, doctoral candidate at Aalto University, developed machine-learning algorithms based on Gaussian process regression to enhance searches of minimum energy paths and saddle points, and tested how well the ...
Jan 8, 2020
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