Modeling Additive Manufacturing Performance
Utilizing LLMs and ML to predict material performance in cold spray manufacturing processes.
Resources
Manufacturers
First to Market – High-strength 3D Printable Aluminum Alloy
Learn how HRL reduced development time from years to days using the Citrine Platform.
AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback
This study presents an iterative AI-guided workflow that accelerates graphite-based anode development by improving both formulation feasibility and process robustness. Sequential learning via AI/ML-guided multiobjective inverse design for anode optimization was implemented using the Citrine Platform. Starting from a noisy, incomplete dataset, the Citrine Platform was used to generate...
Machine Learning Accelerates Materials Development
Learn how Citrine's platform supported Panasonic as it developed new organic semiconductors.
Learnings in the Qualification of ABD®-900AM for Turbine, Aerospace, and Energy Applications
ABD®-900AM is a highly printable, gamma prime strengthened superalloy purposely designed for powder bed fusion (PBF) additive manufacturing (AM) with broad applicability to high-temperature gas turbine, aerospace, defense, and energy applications. To accelerate the adoption of the alloy, a collaborative team led by EPRI has initiated a first-of-a-kind project...
Revolutionizing Manufacturing with Scrap: A Vision for Point-of-Need Production in Austere Environments
Global supply chains are facing increasing challenges, highlighting the need for new approaches to material production. One promising avenue involves developing methods to create high-performance materials from low-quality, variable scrap feedstocks.
Artificial Intelligence for Additive Manufacturing
Join our webinar with Dr. James Saal as he discusses how Artificial Intelligence cuts through the complexity of Additive Manufacturing. James will present case studies where Citrine’s technology has been used to solve AM challenges.
Data-Driven Optimization in Additive Manufacturing
Learn how ADAPT and its partners used the Citrine Platform to create a new, additively manufactured door hinge for MRAP light tactical vehicles.
AI-driven Generative Material Design
Led by Jan Leuridan, SVP at Siemens Digital and Greg Mulholland, CEO at Citrine, this talk was recorded at Siemens Realize LIVE 2020.
Digital paradigms for material design: Use of AI and multi-scale physics-based simulation
This webinar will showcase the benefits of combining AI with physics-based simulations at different length scales, from atomic and molecular simulation to microstructural modelling tools and FEA.
Materials informatics accelerates customer tailored composite material design
Materials Informatics helps a custom thermoplastic producer rapidly identify custom masterbatch + polymer blends for its customized solutions with far fewer experiments than traditional approaches to product development.
CHESCO GmbH and Citrine Informatics Continue Collaboration on AGIL 2 to Advance Digital Manufacturing for Hybrid-Electric Mobility
Partnership demonstrates how AI-driven process design can identify the most economical processing routes by integrating ore chemistry, process options, and regional economics.
Optimizing costs and opening new geographies
Learn how the Citrine Platform accelerated reformulation of a chassis of cleansing products, reducing ingredient costs, and enabling consistency across new geographies.
AI for Packaging
This webinar demonstrates how AI is used to accelerate the optimization of multi-layer packaging.
AI Optimization of Sensory Properties in a Plant-based Burger – and a Beer
Citrine Informatics' AI platform allows food and beverage companies — from indies to multinationals — to create better, faster. From reformulations reducing sugar, new product ideation with the latest hero ingredient, to process optimization, Citrine empowers brands to develop consumer-preferred products with precision.
