RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
The temptation with a car like the Czinger 21C is to treat it as a collection of extreme specifications, and to be fair, it’s ...
Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...
Researchers in China found that fine tuning the lead(II) oxide (PbO) and silicon dioxide (SiOâ‚‚) molar ratio in silver paste ...
Abstract: In this article, we describe a deterministic optimization framework for the conceptual-stage design of aerodynamically-actuated wingsails. The primary objective of high-performance sailing ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.
From affordability to carbon output, there are many reasons to bring topological optimization out of the realm of 3D printing ...
Abstract: An innovative framework that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-based universal ...
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