Author name: Marcus Liang

Marcus Liang is a chemical technologist and software developer passionate about integrating AI and machine learning into chemical research. He holds a Masters in Data Science from UC Berkeley and has collaborated with tech startups to streamline laboratory workflows. Marcus is also an avid gamer, drone hobbyist, and enjoys composing electronic music. His writing blends technical insights with practical guidance for chemists and technology enthusiasts alike.

Technology

APPLICATIONS OF GALLIUM NITRIDE (GAN) ELECTRONIC COMPONENTS IN ADVANCED TECHNOLOGY SYSTEMS

From a data-driven systems perspective, watching the hardware transition toward wide-bandgap semiconductors like Gallium Nitride (GaN) feels like watching a long-overdue system optimization. For years, our digital architecture, whether in high-performance computing, drone power distribution, or local telemetry hardware, has been constrained by the physical limits of standard silicon. We spent countless engineering hours designing […]

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