Lifeboat Foundation

The synthesis of plastic precursors, such as polymers, involves specialized catalysts. However, the traditional batch-based method of finding and screening the right ones for a given result consumes liters of solvent, generates large quantities of chemical waste, and is an expensive, time-consuming process involving multiple trials.

Ryan Hartman, professor of chemical and biomolecular engineering at the NYU Tandon School of Engineering, and his laboratory developed a lab-based “intelligent microsystem” employing machine learning, for modeling chemical reactions that shows promise for eliminating this costly process and minimizing environmental harm.

In their research, “Combining automated microfluidic experimentation with machine learning for efficient polymerization design,” published in Nature Machine Intelligence, the collaborators, including doctoral student Benjamin Rizkin, employed a custom-designed, rapidly prototyped microreactor in conjunction with automation and in situ infrared thermography to study exothermic (heat generating) polymerization—reactions that are notoriously difficult to control when limited experimental kinetic data are available. By pairing efficient microfluidic technology with machine learning algorithms to obtain high-fidelity datasets based on minimal iterations, they were able to reduce chemical waste by two orders of magnitude and catalytic discovery from weeks to hours.

Wind power surged worldwide in 2019, but will it sustain? More than 340,000 wind turbines generated over 591 gigawatts globally. In the U.S., wind powered the equivalent of 32 million homes and sustained 500 U.S. factories. What’s more, in 2019 wind power grew by 19 percent, thanks to both booming offshore and onshore projects in the U.S. and China.

A study by Cornell University researchers used supercomputers to look into the future of how to make an even bigger jump in wind power capacity in the U.S.

“This research is the first detailed study designed to develop scenarios for how wind energy can expand from the current levels of seven percent of U.S. electricity supply to achieve the 20 percent by 2030 goal outlined by the U.S. Department of Energy National Renewable Energy Laboratory (NREL) in 2014,” said study co-author Sara C. Pryor, a professor in the Department of Earth and Atmospheric Studies, Cornell University. Pryor and co-authors published the wind power study in Nature Scientific Reports, February 2020.

Most of the pieces of Elon Musk’s Master Plan, Part Deux are already in place. Tesla’s mass-market cars, the Model 3 and Model Y, have already been released. The Solar Roof is finally seeing a ramp. And the release of a feature-complete version of the company’s Full Self-Driving suite seems to be drawing closer.

For Tesla’s Full Self-Driving suite to be feature-complete, the electric car maker would need to master inner-city driving. FSD already works for highway driving with Navigate on Autopilot with automatic lane changes. But when it comes to inner-city streets, Full Self-Driving still has some ways to go. Fortunately, if Tesla’s v10.2 2020.12.5 release is any indication, it appears that more and more aspects of city driving are becoming recognized by the company’s neural networks.

Designer Michal Bonikowski’s concept is probably four or five generations ahead of the current mode of thinking, but Bonikowski told Robb Report that he was inspired by the recent Maveric concept by Airbus. “That aircraft’s unique design helps reduce drag while providing more cabin space,” he said. “I have been thinking a lot about this lately, and wondered what could happen if a big company would like to create an electric plane.”

Scientists have engineered a mutant enzyme that converts 90 percent of plastic bottles back to pristine starting materials that can then be used to produce new high-quality bottles in just hours. The discovery could revolutionize the recycling industry, which currently saves about 30 percent of PET plastics from landfills, reported Science Magazine.

Elon Musk has revealed the reason behind Tesla’s cabin-facing camera that has been in the Model 3 for years without being used.

When Tesla launched the Model 3, it equipped the vehicle with a standard cabin-facing camera located in the rearview mirror.

Continue reading “Elon Musk reveals the reason behind Tesla’s cabin-facing camera” »

Algeria and Germany have initiated project DESERTEC, a huge solar panel project that feeds European/North African countries with green power.

It was intially something they should have done in 2011.

Anyhow, good 👍

Continue reading “Algeria and Germany sign agreement to start gigantic Desertec project” »

USC scientists have developed a new battery that could solve the electricity storage problem constraining widespread use of renewable energy.

The technology is a new spin on a known design that stores electricity in solutions, sorts the electrons and releases power when it’s needed. So-called redox flow batteries have been around awhile, but the USC researchers have built a better version based on low-cost and readily available materials.

“We have demonstrated an inexpensive, long-life, safe and eco-friendly flow battery attractive for storing the energy from solar and wind energy systems at a mass-scale,” said chemistry professor Sri Narayan, lead author for the study and co-director of the Loker Hydrocarbon Research Institute at USC.

A mutant bacterial enzyme that breaks down plastic bottles for recycling in hours has been created by scientists.

The enzyme, originally discovered in a compost heap of leaves, reduced the bottles to chemical building blocks that were then used to make high-quality new bottles. Existing recycling technologies usually produce plastic only good enough for clothing and carpets.

The company behind the breakthrough, Carbios, said it was aiming for industrial-scale recycling within five years. It has partnered with major companies including Pepsi and L’Oréal to accelerate development. Independent experts called the new enzyme a major advance.