AMD has published its new FEMFX deformable materials physics library and made it available for anyone to use in games and other software development.
AMD has published its new FEMFX deformable materials physics library and made it available for anyone to use in games and other software development.
AI doesn’t know when it creates unintended consequences. As builders try to fix this, they may actually contribute to the problem.
The NREL scientists, along with colleagues at Yale University, Argonne National Laboratory, and Oak Ridge National Laboratory, are part of the Department of Energy’s Co-Optimization of Fuels & Engines (Co-Optima) initiative. Co-Optima’s research focuses on improving fuel economy and vehicle performance while also reducing emissions.
“If you look at biomass, 30% of it is oxygen,” said Derek Vardon, a senior research engineer at NREL and corresponding author of a new paper detailing the Co-Optima research project. “If we can figure out clever ways to keep it around and tailor how it’s incorporated in the fuel, you can get a lot more out of biomass and improve the performance of diesel fuel.” The molecule, 4-butoxyheptane, contains oxygen while conventional petroleum-derived diesel fuel is comprised of hydrocarbons. The presence of oxygen significantly reduces the intrinsic sooting tendency of the fuel upon burning.
The paper, “Performance-advantaged ether diesel bioblendstock production by a priori design,” appears in the journal Proceedings of the National Academy of Sciences. Vardon’s co-authors from NREL are Nabila Huq as the first author, with co-authors Xiangchen Huo, Glenn Hafenstine, Stephen Tifft, Jim Stunkel, Earl Christensen, Gina Fioroni, Lisa Fouts, Robert McCormick, Matthew Wiatrowski, Mary Biddy, Teresa Alleman, Peter St. John, and Seonah Kim.
The debut test flight of a Boeing Starliner astronaut taxi for NASA is ready to fly, with great weather expected for its launch to the International Space Station Friday (Dec. 20).
Two physicists from the University of Luxembourg have now unambiguously shown that quantum-mechanical wavelike interactions are indeed crucial even at the scale of natural biological processes.
Quantum wavelike behaviour plays a key role in modern science and technology, with applications of quantum mechanics ranging from lasers and high-speed fiber communications, to quantum computers and photosynthesis in plants. A natural question is whether quantum wave phenomena could also be relevant for structure formation and dynamical processes in biological systems in living cells. This question has not been addressed convincingly up to now due to the lack of efficient quantum methods that are applicable to systems as large as whole proteins under physiological conditions (i.e. solvated in water and at room temperature).
Now writing in Science Advances, Prof. Alexandre Tkatchenko and doctoral researcher Martin Stöhr from the Department of Physics and Materials Science at the University of Luxembourg have investigated the folding process of proteins in water using a fully quantum-mechanical treatment for the first time. Protein folding is the physical process by which a chain of amino acids acquires its native biologically functional structure due to interactions between amino acids and the influence of surrounding water. A key novel finding of the present study is that the interaction between the protein and the surrounding water has to be described by quantum-mechanical wavelike behavior, which also turns out to be critical in the dynamics of the protein folding process.
A study challenged the evidence for the mysterious antigravitational force known as dark energy. Then cosmologists shot back.
Posted in health, neuroscience
The evolutionary history of humans explains why physical activity is important for brain health.
UCLA scientists James Gimzewski and Adam Stieg are part of an international research team that has taken a significant stride toward the goal of creating thinking machines.
Led by researchers at Japan’s National Institute for Materials Science, the team created an experimental device that exhibited characteristics analogous to certain behaviors of the brain—learning, memorization, forgetting, wakefulness and sleep. The paper, published in Scientific Reports, describes a network in a state of continuous flux.
“This is a system between order and chaos, on the edge of chaos,” said Gimzewski, a UCLA distinguished professor of chemistry and biochemistry, a member of the California NanoSystems Institute at UCLA and a co-author of the study. “The way that the device constantly evolves and shifts mimics the human brain. It can come up with different types of behavior patterns that don’t repeat themselves.”