Two-Dimensional Oxyhalide Transistors Compatible with Back-End-of-the-Line Processing — NSF Award to University of Texas at Dallas
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
| Award title | Two-Dimensional Oxyhalide Transistors Compatible with Back-End-of-the-Line Processing |
|---|---|
| Award ID | 2516364 |
| Awardee | University of Texas at Dallas |
| City | RICHARDSON |
| State | TX |
| Amount obligated | $570,000 |
| Principal investigator | Bing Lv |
| Program | EPMQD: Electronic, Photonic, M |
| Start date | 10/01/2025 |
| Abstract | 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 |
| Source | NSF Awards |
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