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2026 MXO Pitch Day Special Notice

Solicitation ID: DARPA-SN-26-74

Agency: DARPA/MXO

Type: Special Notice
Deadline: 2026-10-18T17:00:00 ET
Eligibility: Maybe (Topic Dependent)
Funding: N/A
Doc Type: Other
Clearance: No
Program Manager: Dr. Jonathan Hoffman
Last Updated: 2026-06-24 19:13
Analyzed File: DARPA-SN-26-74.pdf

Eligibility Reasoning

This MXO Pitch Day Special Notice does not constitute a formal solicitation for proposals or abstracts. This notice is issued solely for information and program planning purposes... Interested organizations... will be required to submit an Abstract for evaluation in response to one or more of the Thrust Areas described in the (forthcoming) full announcement of MXO Pitch Day; the Abstract should follow the format and submission instructions described therein.

Note: This is an AI-generated summary...

Summary

This special notice announces the Defense Advanced Research Projects Agency (DARPA) Multi X Office (MXO) Pitch Day, an invitation-only event on November 2, 2026, in Chicago, Illinois. The event's goal is to fund short-term scientific discovery solutions and broaden engagement with non-traditional organizations, small businesses, and university Principal Investigators new to DARPA. The process involves submitting an abstract in response to a forthcoming full announcement (anticipated June 24, 2026). Selected organizations will be invited to submit a Pitch Day Presentation (PDP) package and deliver an in-person oral presentation. The unclassified event is held in conjunction with the MXO Spark Tank event, and invitees must register for it.

Overall Technical Areas

Microsystems TechnologyAdvanced MicroelectronicsIntegrated PhotonicsRF MicrosystemsMicroelectromechanical Systems (MEMS)Next-Generation SemiconductorsHeterogeneous IntegrationNovel Computing ArchitecturesQuantum Information ScienceSecure Hardware DesignElectromagnetic Spectrum ManagementAdvanced Sensor TechnologiesCross-Disciplinary PhysicsAdvanced Materials Science

Probable LBNL Areas

N/A

Focus Areas

N/A

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

NameScoreOrganization
Mengjie Yu0.79ESA | MSD | Material Physics · Integrated Photonics
Angelos Ioannou0.77CSA | AMCR | Computer Science · Novel Computing Architectures
Kin Yu0.77ESA | MSD | Material Physics · Advanced Materials Science
Kristin Persson0.76ESA | MSD | Material Physics · Cross-Disciplinary Physics
Hartmut Haeffner0.75CSA | AMCR | Computer Science · Quantum Information Science
Venkatesh Akella0.75CSA | SciData | Data Science Applications · Secure Hardware Design
Prabal Dutta0.75ETA | Building Tech. & Urban Sys. | Bldg Technologies Dept · Advanced Sensor Technologies
Dongwoo Paeng0.74ETA | ESDR | Energy Storage & Dist Dpt · Microelectromechanical Systems (MEMS)
Zhi Jackie Yao0.74CSA | AMCR | Applied Mathematics · Advanced Microelectronics
Asir Intisar Khan0.74ESA | MSD | Material Physics · Heterogeneous Integration

Fundamental Research Exemption (FRE)

Not Mentioned