ASCENT: Wafer-scale Heterogeneous Integration of Lithium-Niobate-on-Silicon Optoelectronic — NSF Award to University of California
Nontechnical Description: The increasing data volumes from artificial intelligence (AI), internet of things, and 5G/6G networks is challenging the processing power of CMOS-based computing hardware. To extend the computing power scaling and energy efficiency, we propose light-based photonic integrated computing circuits
| Award title | ASCENT: Wafer-scale Heterogeneous Integration of Lithium-Niobate-on-Silicon Optoelectronic |
|---|---|
| Award ID | 2520253 |
| Awardee | University of California-Berkeley |
| City | BERKELEY |
| State | CA |
| Amount obligated | $1,130,000 |
| Principal investigator | Zaijun Chen |
| Program | NSF-Intel Semiconductr Partnrs, ASCENT-Address-Chalg-Eng-Teams |
| Start date | 10/01/2025 |
| Abstract | Nontechnical Description: The increasing data volumes from artificial intelligence (AI), internet of things, and 5G/6G networks is challenging the processing power of CMOS-based computing hardware. To extend the computing power scaling and energy efficiency, we propose light-based photonic integrated computing circuits for computing at high clockrates and with ultralow-loss on-chip data movement. This project supports the national interest by significantly reducing the energy required for AI com |
| Source | NSF Awards |
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