Neural network speeds tuning of attosecond light pulses for physics experiments

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...
AZoOptics

Skoltech Researchers Use a Neural Network to Speed Up the Tuning of Ultrashort Light Flashes for Experimental Physics

Researchers from Skoltech (part of the VEB.RF group) and the Shanghai Institute of Optics and Fine Mechanics have developed ...
pv magazine International

Optimization technique to extract unknown PV system parameters from manufacturers’ datasheets

An Indian-Ethiopian research group developed a datasheet-based approach for PV system parameter estimations that offers the advantage of not requiring time-consuming and expensive extensive ...
GEN

Optimization of Electroporation Parameters

RNA interference (RNAi), an important tool for gene expression and gene function analyses, can be induced by the introduction of sequence-specific small interfering RNAs (siRNAs) into cells. For an ...
EurekAlert!

New review maps design pathways for electrified propulsion in air, ground, and sea transport

Researchers have published a comprehensive review of configuration and parameter design for electrified propulsion systems in ...
FleetOwner

Roeth: Simple, inexpensive ways to be more fuel efficient

Rising diesel prices are pushing fleets to improve fuel economy through engine parameters, routing, maintenance, and driver ...
AZOM

Optimizing Additive Manufacturing Processes with Machine Learning

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...