TECHNOLOGY/BUSINESS OPPORTUNITY High Throughput Tender - 122251868

Procurement Summary

Country: USA

Summary: TECHNOLOGY/BUSINESS OPPORTUNITY High Throughput Materials Screening

Deadline: 07 Aug 2025

Posting Date: 08 Jul 2025

Other Information

Notice Type: Tender

TOT Ref.No.: 122251868

Document Ref. No.: IL-13738

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

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 inventio...
Active Contract Opportunity

Notice ID : IL-13738

Related Notice

Department/Ind. Agency : ENERGY, DEPARTMENT OF

Sub-tier : ENERGY, DEPARTMENT OF

Office: LLNS – DOE CONTRACTOR

General Information

Contract Opportunity Type: Special Notice (Original)

Original Published Date: Jul 07, 2025 11:03 am MDT

Original Response Date: Aug 07, 2025 11:00 am MDT

Inactive Policy: 15 days after response date

Original Inactive Date: Aug 22, 2025

Initiative:

Classification

Original Set Aside:

Product Service Code: 1015 - GUNS, 75MM THROUGH 125MM

NAICS Code: 333248 - All Other Industrial Machinery Manufacturing
Place of Performance: Livermore, CA USA

Documents

 Tender Notice