DRINQS is a fundamental science program that aims to investigate a recent paradigm shift in quantum research, which maintains that periodically driving a system out of equilibrium may increase the length of time that its quantum state endures. DRINQS aims to investigate this phenomenon and demonstrate significant gains over conventional states in timekeeping, field sensing, and information processing for use in national security applications. More
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The Dynamic Network Adaptation for Mission Optimization (DyNAMO) program is developing and testing technologies that enable adaptive, mission-responsive networking among diverse airborne platforms in contested environments. More
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Over the past decade, DARPA’s investments in the advancement of Gallium Nitride (GaN) technology have helped enable the delivery of high power radio frequency (RF) signals at higher frequencies, bandwidths, and efficiencies. Today, however, a growing number of commercial and military components – from everyday smartphones to RF jammers – are generating a vast amount of RF signals, which is creating an increasingly crowded electromagnetic environment and a need to utilize higher operating frequencies – moving up to millimeter wave (mmW) frequencies More
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The United States military is heavily dependent on networked communication to fulfill its missions. The wide-area network (WAN) infrastructure that supports this communication is vulnerable to a wide range of failures and cyber attacks that can severely impair connectivity and mission effectiveness at critical junctures. Examples include inadvertent or malicious misconfiguration of network devices, hardware and software failures, extended delays in Internet Protocol (IP) route convergence, denial of service (DoS) flooding attacks, and a variety of control-plane and data-plane attacks resulting from malicious code embedded within network devices. More
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Next-generation military microsystems in areas such as radar, guidance and high-data-rate communications will require advances in integrated circuit (IC) technology. The technical goal of the Efficient Linearized All-Silicon Transmitter ICs (ELASTx) program, now in its final states, has been to develop monolithic, high power-added-efficiency (PAE), high-linearity, millimeter-wave, silicon-based transmitter ICs. More
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The Electrical Prescriptions (ElectRx) program aims to support military operational readiness by reducing the time to treatment, logistical challenges, and potential off-target effects associated with traditional medical interventions for a wide range of physical and mental health conditions commonly faced by our warfighters. ElectRx seeks to deliver non-pharmacological treatments for pain, general inflammation, post-traumatic stress, severe anxiety, and trauma that employ precise, closed-loop, non-invasive modulation of the patient’s peripheral nervous system. More
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Complex physical systems, devices and processes important to the Department of Defense (DoD) are often poorly understood due to uncertainty in models, parameters, operating environments and measurements. The goal of DARPA’s Enabling Quantification of Uncertainty in Physical Systems (EQUiPS) program is to provide a rigorous mathematical framework and advanced tools for propagating and managing uncertainty in the modeling and design of complex physical and engineering systems. Of particular interest to the program are systems with multi-scale coupled physics and uncertain parameters in extremely high-dimensional spaces, such as new aerospace vehicles and engines. More
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The goal of the Engineered Living Materials (ELM) program is to develop living materials that combine the structural properties of traditional building materials with attributes of living systems, including the ability to rapidly grow, self-repair, and adapt to the environment. Living materials represent a new opportunity to leverage engineered biology to solve existing problems associated with the construction and maintenance of our built environments, as well as new capabilities to craft smart infrastructure that dynamically responds to the surroundings. More
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