SPECIAL NOTICE
10 -- TECHNOLOGY/BUSINESS OPPORTUNITY High Throughput Materials Screening
- Notice Date
- 7/7/2025 10:03:59 AM
- Notice Type
- Special Notice
- NAICS
- 333248
—
- Contracting Office
- LLNS � DOE CONTRACTOR Livermore CA 94551 USA
- ZIP Code
- 94551
- Solicitation Number
- IL-13738
- Response Due
- 8/7/2025 10:00:00 AM
- Archive Date
- 08/22/2025
- Point of Contact
- Austin Smith, Phone: 9254238469, Charlotte Eng, Phone: 9254221905
- E-Mail Address
-
smith587@llnl.gov, eng23@llnl.gov
(smith587@llnl.gov, eng23@llnl.gov)
- Description
- Opportunity: Lawrence Livermore National Laboratory (LLNL), operated by the Lawrence Livermore National Security (LLNS), LLC under contract no. DE-AC52-07NA27344 (Contract 44) with the U.S. Department of Energy (DOE), is offering the opportunity to enter into a collaboration to further develop and commercialize its Automated High-Throughput Materials Optimization Active-Mixing DIW Platform. Background: Polymer materials formulation and optimization has been generally limited to mixing by hand, as polymers have a wide range of viscosities. A high throughput approach is therefore needed to enable faster screening of polymers optimized for targeted applications. There currently exists systems that mix multi-materials with disparate viscosities. If these systems are integrated with an in-situ characterization capability combined with machine learning experimental planning systems, an all-in-one polymer optimization and screening platform could be developed that can facilitate high-throughput materials development. Description: The platform has three major components: (1) active-mixing direct-ink-write (2) in situ characterization substrates or probes (3) active learning experimental planning system. Active-mixing direct ink write (DIW) additive manufacturing enable mixing of materials with highly disparate viscosities, from liquids to pastes. By coupling this mixing system with in-situ characterization methods with machine learning experimental planning systems, LLNL researchers developed an automated platform for materials discovery and optimization. Machine learning models take the data from the DIW AM prints and use it to dictate the next batch of films to be printed, homing in on the formulation that achieves the best desired property required for the target application. While active mixing DIW has already been developed [Harvard�s U.S. Patent No 10,071,350], the novelty of this LLNL invention is the integrated system of characterization capabilities, machine learning, and experimental planner, making it a closed-loop polymer screening system. Advantages/Benefits: Value Proposition: High-throughput (scale-up) polymer materials development System Flexibility: Capable of handling complex hybrid formulations, including, but not limited to, solvents, monomers, oligomers, polymers, and additives. Additives can be liquid or solid. Can vary the material composition during the printing process. Potential Applications: Automated high-throughput screening of increased ionic conductivity polymer electrolytes Optimization of 3D printing inks Polymer materials optimization and screening Development Status: Current stage of technology development: TRL ? 0-2 ? 3-5 ? 5-9 LLNL has filed for patent protection on this invention. U.S. Patent Application No. 20240091808 High Throughput Materials Screening published 3/21/2024 U.S. Patent Application No. 20240096454 High Throughput Materials Screening published 3/21/2024 LLNL is seeking industry partners with a demonstrated ability to bring such inventions to the market. Moving critical technology beyond the Laboratory to the commercial world helps our licensees gain a competitive edge in the marketplace. All licensing activities are conducted under policies relating to the strict nondisclosure of company proprietary information. Please visit the IPO website at https://ipo.llnl.gov/resources for more information on working with LLNL and the industrial partnering and technology transfer process. Note: THIS IS NOT A PROCUREMENT. Companies interested in commercializing LLNL's Automated High-Throughput Materials Optimization Active-Mixing DIW Platform should provide an electronic OR written statement of interest, which includes the following: Company Name and address. The name, address, and telephone number of a point of contact. A description of corporate expertise and/or facilities relevant to commercializing this technology. Please provide a complete electronic OR written statement to ensure consideration of your interest in LLNL's Automated High-Throughput Materials Optimization Active-Mixing DIW Platform. The subject heading in an email response should include the Notice ID and/or the title of LLNL�s Technology/Business Opportunity and directed to the Primary and Secondary Point of Contacts listed below. Written responses should be directed to: Lawrence Livermore National Laboratory Innovation and Partnerships Office P.O. Box 808, L-779 Livermore, CA 94551-0808 Attention: IL-13738
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/baf03416c6494e8683f5959810b65801/view)
- Place of Performance
- Address: Livermore, CA, USA
- Country: USA
- Country: USA
- Record
- SN07499794-F 20250709/250707230044 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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