Energy consumption is one of the most pressing challenges for semiconductor technologies. This is a result of applications like artificial intelligence (AI) leading to exponential growth in energy consumption. At this rate, energy demand from computing may outpace energy production within a few decades. In addition to making transistors more energy efficient, it is also necessary to integrate them in new ways. The greatest advancements are expected when transistors are directly processed in the back-end-of-the-line (BEOL). In comparison to the stacking of chips, BEOL processing minimizes energy consumption through short and fine interconnects. However, BEOL processing requires semiconductors that can be grown below approximately 450 ºC to prevent damage to the underlying chip. This is a fundamental challenge for traditional semiconductors and other two-dimensional (2D) semiconductors like transition metal dichalcogenides (TMDs). This project is developing a new kind of 2D semiconductor compatible with BEOL processing. By combining theoretical and experimental approaches, it is overcoming key hurdles for new 2D semiconductors like (1) controlled doping and (2) low electrical contact resistance. The project is also integrating workforce development for the United States semiconductor industry by collaborating with the North Texas Semiconductor Institute to create programs that address the regional shortage of skilled workers, accelerating the transition from technician to opera