Revolutionary research tool will dial up gravity to mimic natural events and help to tap future energy reserves, solve engineering puzzles.
It allows multiple users to walk in any direction without colliding, enhancing VR immersion. Developed by Disney Imagineer Lanny Smoot, this innovation could revolutionize VR experiences and stage performances. (Video Credit: Disney Parks/YouTube)
102K likes, — concept_bytes on November 14, 2024: The best tool for engineers! 👀 #Holomat #engineering #3dprinting #xtool #f1ultra.
Thanks to you all for your feedback and support on this project!
If you want tutorials, code, 3D print files and more for this project comment “holomat” below and I’ll send you the information!”
I believe that nanotechnology could be imbedded into paper so a paper computer could give one the same information as a smartphone but at pennies per smartphone. Right now we can print out 3D copies of paper phones and other things next would be nanotechnology made of paper with quantum mechanical engineering.
Irish company Mcor’s unique paper-based 3D printers make some very compelling arguments. For starters, instead of expensive plastics, they build objects out of cut-and-glued sheets of standard 80 GSM office paper. That means printed objects come out at between 10–20 percent of the price of other 3D prints, and with none of the toxic fumes or solvent dips that some other processes require.
Secondly, because it’s standard paper, you can print onto it in full color before it’s cut and assembled, giving you a high quality, high resolution color “skin” all over your final object. Additionally, if the standard hard-glued object texture isn’t good enough, you can dip the final print in solid glue, to make it extra durable and strong enough to be drilled and tapped, or in a flexible outer coating that enables moving parts — if you don’t mind losing a little of your object’s precision shape.
Researchers have characterized the naturally occurring background radiation hitting a typical quantum circuit—a result that might help with the engineering of devices that are less vulnerable to radiation-induced decoherence.
A theoretical model shows that exchange of information plays a key role in the molecular machines found in biological cells.
Molecular machines perform mechanical functions in cells such as locomotion and chemical assembly, but these “tiny engines” don’t operate under the same thermodynamic design principles as more traditional engines. A new theoretical model relates molecular-scale heat engines to information engines, which are systems that use information to generate work, like the famous “Maxwell’s demon” [1]. The results suggest that a flow of information lies at the heart of molecular machines and of larger heat engines such as thermoelectric devices.
The prototypical engine is a steam engine, in which work is produced by a fluid exposed to a cycle of hot and cold temperatures. But there are other engine designs, such as the bipartite engine, which has two separate parts held at different temperatures. This design is similar to that of some molecular machines, such as the kinesin motor, which carries “molecular cargo” across biological cells. “Bipartite heat engines are common in biology and engineering, but they really haven’t been studied through a thermodynamics lens,” says Matthew Leighton from Simon Fraser University (SFU) in Canada. He and his colleagues have now analyzed bipartite heat engines in a way that reveals a connection to information engines.
A new model of liquid sprays reveals the mechanisms behind droplet formation—providing important information for eventually controlling the droplet sizes in, for example, home cleaning sprays.
Spraying a cleaning product on a kitchen counter may be a mundane task, but it embodies a wide-reaching environmental problem. In atomized sprays like these, the largest droplets land on the surface as desired, while the smallest ones drift away and evaporate, wasting liquid and contaminating the surroundings. As Isaac Jackiw of the University of Alberta, Canada, says, “If you have an intuitive understanding of where the different sizes come from, then you can start to imagine specific targeted approaches for preventing unwanted sizes.” He and his colleagues have now developed a physics-based model that predicts the distribution of droplet size in sprays emitted from a nozzle. Jackiw presented the work at the Canadian Chemical Engineering Conference in Toronto this month.
In classical models of aerodynamic droplet breakup, airflow hits a liquid and causes it to explode into droplets. To explain the average droplet size, theorists have often focused on a single, dominant mechanism. But these methods have not been able to directly predict the distribution in droplet sizes, Jackiw says. His approach can estimate the size distribution by incorporating several different mechanisms, each of which contributes droplets in a particular size range.
True humility is rare today. It takes courage and a strong stance. It’s the story of Grigori Perelman, who proved the Poincaré conjecture — the only one of the seven Millennium Prize Problems solved by humanity. 1️⃣ In 1990s, Perelman worked at UC Berkeley. Top universities tried to hire him. A hiring committee at Stanford asked him for a C.V. to include with requests for letters of recommendation. But Perelman said: “If they know my work, they don’t need my C.V. If they need my C.V., they don’t know my work.” he received several job offers. But he declined them all. 2️⃣ In 2002–2003, he posted three manuscripts on arXiv where he solved the Poincare problem. On a PREPRINT server. Not in a journal! He did not care about publishing them in Nature. He did not care about getting them peer reviewed. He just wanted to make his work publicly available. Several leading math groups immediately started checking his proof. 3️⃣ In 2006, he was awarded a Fields Medal for his work on the Ricci flow and Poincare conjecture. But Perelman declined it: “[The prize] was completely irrelevant for me. Everybody understood that if the proof is correct, then no other recognition is needed.” He did not attend the ceremony. He was the only person to have ever declined the prize. 4️⃣ In 2010, Perelman was awarded a Millennium Prize ($1,000,000). He did not attend a ceremony in Paris as well. He considered the decision of the Clay Institute unfair because he wanted to share the prize with Richard Hamilton (who had a big influence on Perelman in 1990s). “The main reason is my disagreement with the organized mathematical community. I don’t like their decisions, I consider them UNJUST.” ❗️Why I am writing all this? Because: There’s no fairness in academia. It’s unjust and often illogical. It’s full of competition and unkindness. Perelman was very sensitive to it. So, he left mathematics… IF we don’t want to lose brilliant minds like this… IF we want our kids to love science as they grow up… Then we should focus on making it a better place. Less pressure on tenure track professors. No pursuit of metrics. No emphasis on awards. More mentorship and quality research. We need it. #science #research #engineering #mathematics #scienceandtechnology
UNIVERSITY PARK, Pa. — Microplastics have been steadily increasing in freshwater environments for decades and are directly tied to rising global plastic production since the 1950s, according to a new study by an interdisciplinary team of Penn State researchers. The findings provide insight into how microplastics move and spread in freshwater environments, which could be important for creating long-term solutions to reduce pollution, the researchers said.
The work is available online now and will be published in the December issue of Science of the Total Environment.
“Few studies examine how microplastics change over time,” said Nathaniel Warner, associate professor of civil and environmental engineering and the corresponding author on the paper. “Ours is one of the first to track microplastic levels in freshwater sediment from before the 1950s to today, showing that concentrations rise in line with plastic production.”
Summary: A new method developed by researchers allows scientists to identify unique, redundant, and synergistic causality, providing a clearer view of what influences complex systems. Known as SURD, this method has implications across diverse fields, from climate science to aerospace engineering.
Traditional methods often confuse variables that are not true causes, but SURD accurately decomposes causality, minimizing errors. This tool has the potential to aid in the design of optimized systems by pinpointing causative factors more precisely.
The researchers demonstrated SURD’s utility by examining turbulence, revealing previously hidden interactions between airflow variables. Their work highlights the benefits of SURD for more accurate causal analysis in complex fields.
