Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Basic Research Needs for Microelectronics: Report of the Office of Science Workshop on Basic Research Needs for Microelectronics, October 23 – 25, 2018

Technical Report ·
DOI:https://doi.org/10.2172/1616249· OSTI ID:1616249
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [4];  [10];  [11];  [12];  [13];  [6];  [14];  [15];  [9];  [16];  [4] more »;  [17];  [18];  [19];  [4];  [20];  [21];  [22];  [18];  [7];  [4];  [4];  [23];  [24];  [6];  [25];  [15];  [26];  [4];  [11];  [27];  [28];  [29];  [30];  [30];  [11];  [11];  [11] « less
  1. Harvard Univ., Cambridge, MA (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States)
  3. Univ. of Utah, Salt Lake City, UT (United States)
  4. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  5. Brookhaven National Lab. (BNL), Upton, NY (United States)
  6. Univ. of California, Berkeley, CA (United States)
  7. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  8. Georgia Inst. of Technology, Atlanta, GA (United States)
  9. Cornell Univ., Ithaca, NY (United States)
  10. California Institute of Technology (CalTech), Pasadena, CA (United States)
  11. Argonne National Lab. (ANL), Argonne, IL (United States)
  12. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  13. Defense Advanced Research Projects Agency (DARPA), Arlington, VA (United States)
  14. Intel, Santa Clara, CA (United States)
  15. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  16. Univ. of Arkansas, Fayetteville, AR (United States)
  17. Stanford Univ., CA (United States)
  18. Univ. of Notre Dame, IN (United States)
  19. Great Lakes Crystal Technologies, East Lansing, MI (United States)
  20. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  21. Palo Alto Research Center, Palo Alto, CA (United States)
  22. Army Research Lab., Adelphi, MD (United States)
  23. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  24. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  25. Air Force Research Lab. (AFRL), Wright-Patterson AFB, OH (United States)
  26. SUNY Polytechnic Inst., Utica, NY (United States)
  27. IBM, Armonk, NY (United States)
  28. Dept. of Energy (DOE), Washington DC (United States). Office of Science. High Energy Physics
  29. Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research
  30. Dept. of Energy (DOE), Washington DC (United States). Office of Science. Basic Energy Sciences
+ Show Author Affiliations

Moore’s Law — realized via a combination of device physics advances, technology investments, and economic returns— allowed the number of transistors on a chip to double roughly every two years for over five decades. During those five decades, the cost of a unit of computing dropped by eight orders of magnitude. Those declines and the associated computing advances have dramatically affected every aspect of society, from science and technology through business and health to national security. Today, further computing advances are limited by the economics of chip fabrication and the physical limits on transistors, electrical interconnects, and memory elements at the nanoscale. If we are to evolve new generations of computing systems over the next decades that are both faster and more energy efficient, a complete reorganization of the science and technology underlying computing is needed. Within the Department of Energy’s (DOE’s) mission, which includes a pivotal and historical role in the evolution of computing, the needs are critical as well. Advanced computing and simulation underpin all aspects of DOE missions in energy, the environment, and national security, requiring energy-efficient computing beyond the exascale range. Edge computing, low-power computing technologies, and computers optimized for artificial intelligence are key to next-generation scientific facilities for high-energy physics research, as well as neutron and x-ray facilities. Finally, microelectronics will also play a major role in reshaping the U.S. electricity grid: from its current state to one that is cleaner, more efficient, cyber-secure, and resilient to widespread events, both natural and manmade. Realizing this vision will require advancements in both system architecture and power electronics. To enable continued advances in computing technologies, a fundamental rethinking is needed of the science behind the materials, synthesis and placement technologies, architectures, and algorithms. This cannot be modular and linear, as it has been in the past. Rather, these advances must be developed collectively, in a spirit of co-design, where each scientific discipline informs and engages the other to achieve orders of magnitude improvements in system-level performance. To explore these challenges, the Office of Science convened a Basic Research Needs Workshop for Microelectronics in October 2018 and charged workshop participants to conduct a thorough assessment of the scientific issues associated with advanced microelectronics technologies for applications relevant to the DOE mission. The workshop examined research relevant to the extension of complementary metal oxide semiconductor (CMOS) and beyond CMOS technologies; however, topics of direct relevance to quantum information science and quantum computing were outside the scope of this workshop.

Research Organization:
USDOE Office of Science (SC) (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI ID:
1616249
Country of Publication:
United States
Language:
English

Similar Records

Basic Research Needs for Microelectronics
Technical Report · Mon Oct 01 00:00:00 EDT 2018 · OSTI ID:1545772
Basic Research Needs for Innovation and Discovery of Transformative Experimental Tools
Technical Report · Wed Jun 01 00:00:00 EDT 2016 · OSTI ID:1616508
Basic Research Needs for Inverse Methods for Complex Systems under Uncertainty
Technical Report · Sun Aug 31 20:00:00 EDT 2025 · OSTI ID:2583339

Related Subjects

42 ENGINEERING
97 MATHEMATICS AND COMPUTING