Effectively leveraging data from multiple quantum-chemical methods is essential for building machine-learned force fields (MLFFs) that are applicable to a wide range of chemical systems. This study ...
Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...
Abstract: In transportation and stationary power generation applications, an accurate and reliable fuel-cell condition monitoring system is essential to achieve efficient and long-life fuel-cell ...
Most of Tesla's revenue comes from electric vehicles (EVs), but the bulls have focused their attention on the company's future offerings. The company's Cybercab autonomous robotaxi and Optimus ...
Abstract: The Magnetic Field Modulation Permanent Magnet Machine (MFMPMM) is commonly employed in low speed and high torque applications, however, its rich modulation harmonics bring challenges for ...
36th Engineer Brigade, III Armored Corps, practices and conducts combat breaching demonstration while showcasing the Machine Assisted Rugged Soldier program which utilizes autonomous technology to ...
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