(a) Mock-up image of 128Mbit-density STT-MRAM (b) Shmoo plot for write speed versus supply voltage, which shows the measured operation bit rate at each speed and voltage in color gradation.
First-principles prediction of one-dimensional giant Rashba splittings.
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Figure 1: A block diagram for Microchip’s PIC16F18446, which features high resolution Intelligent Analog peripherals such as an integrated 12-bit ADC2
Micrographs of the diamond MEMS chip developed through this research and one of the diamond cantilevers integrated into the chip
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THN 15/20/30WI new model extension
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The Bourns SM91501AL and SM91502AL are shipping from RS in the EMEA and Asia Pacific regions.
A Texas A&M Engineering research team harnesses the power of machine learning and artificial intelligence to create an open source software package that autonomously discovers new materials.
Graphic animation of a possible data memory on the atomic scale: A data storage element -- consisting of only 6 xenon atoms -- is liquefied by a voltage pulse.
It contains ten patches that each have their own silver nanoparticle pattern. The colors on the sample are not the laser light (the laser is not on) but reflections, similar to the colors that can be seen on the surface of a compact disk.
This is Anna Poznyak, head of the project and researcher at the NUST MISIS Department of Functional Nanosystems and High-Temperature Materials.
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Figure 1. The Bel Power Solutions 350DNC40 is a 4 kW DC/DC Converter that creates DC voltages in hybrid and electric vehicles suitable to power low voltage accessories. Features include very high efficiency, high reliability, low output voltage noise and excellent dynamic response to load/input changes.
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Figure 1. Typical Application Circuit for the LTC4162-L
Figure 1: Damage resulting from two conventional wire-in-are fuses subjected to extreme overload conditions - simulating a catastrophic EV battery short circuit
Figure 1: A block diagram for Microchip’s PIC16F18446, which features high resolution Intelligent Analog peripherals such as an integrated 12-bit ADC2
Principal investigator Subramanian Sankaranarayanan (left), and co-principal investigators Mathew Cherukara (center), Henry Chan (right) and Badri Narayanan (not pictured) are developing a new machine learning based software that will enable industry to more quickly and efficiently perform the molecular dynamics simulations they need to vet the performance of new materials for their products.
Liquid crystal elastomer with auxetic capabilities, showing its flexibility and high optical quality.
