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AI and Business Strategy

Preparing Your Product Development Team for AI: Three Mindset Shifts That Matter
White Paper – Preparing Your Product Development Team for AI
Many R&D leaders embarking on a digital transformation journey face a common dilemma: should you implement an Electronic Lab Notebook (ELN), a Laboratory Information Management System (LIMS), or a Materials Informatics platform 3 and in which order?
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White Paper – Trusting the Experiment
How AI adoption, model uncertainty, and transparent workflows can improve materials and chemicals product development
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Transforming Customer Responsiveness
White Paper – Transforming Customer Responsiveness
This white paper explores how artificial intelligence is fundamentally transforming the formulation development landscape, enabling chemicals suppliers to achieve unprecedented levels of customer responsiveness while simultaneously reducing development costs and accelerating time-to-market.
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What Successful Companies Do
White Paper – How to Successfully Implement AI
After 12 years of steady growth, we've reached a meaningful turning point in the adoption of AI across the materials and chemicals industry.
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How Not To Fail at AI - Notes from the field
White Paper – How Not To Fail at AI – Notes from the Field
In this paper we will draw on the experience of two experts who have been involved in hundreds of AI projects in chemical companies and learn lessons about what works and what doesn’t.
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Building AI Demands Action
White Paper – Building AI Demands Action
This white paper focuses on the building of the value, in this case the ability to conceive, evaluate, create, and deliver new materials that meet your business’s goals, meet or exceed the sustainability targets, and differentiate your solutions in the global market.
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Leading Requires Action
White Paper – Leading Requires Action
Learn about AI and the new toolset for digital innovation in materials, and how executives can create the strategy and define the value early to leverage technology in product R&D.
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Recycled Plastic flakes
White Paper – 3 Ways AI Supports Your Sustainability Goals
How AI supports materials and chemicals companies in their efforts to source sustainably, make processes more efficient and develop sustainable products. 
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Digitalization
eBook – Digital Transformation and Materials Informatics
Digital transformation is a key business initiative of most of the world's large chemicals and materials companies. This paper identifies critical success factors for digitalization in materials and chemicals and how the Citrine Platform supports them.
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Return on investment for artificial intelligence project in materials
White Paper – How an AI-Enabled Data Infrastructure Impacts the Bottom Line
Learn how materials informatics can systematically improve return on investment (ROI) for new product development, with a platform that becomes more powerful with each new project.
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data science team
White Paper – Amplify the impact of your data science team
Paper discussing how implementing a 3rd party Materials Informatics platform frees up the time of your data science team to do what they are good at.
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AI for Different Industries

Removing PFAS and Other Problematic Ingredients
White Paper – Removing PFAS and Other Problematic Ingredients
The drive to replace raw materials being phased out due to regulatory restrictions is a dynamic area of AI application in the chemicals industry.
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Increasing Polymer Sustainability Using AI
White Paper – Increasing Polymer Sustainability Using AI
This white paper examines how the Citrine Platform leverages advanced artificial intelligence to help polymer manufacturers meet sustainability challenges while maintaining performance and profitability.
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The Future of Consumer Packaging
White Paper – The Future of Consumer Packaging: Driving Sustainability with Machine Learning Technologies
This white paper explores how artificial intelligence and machine learning technologies are revolutionizing the consumer packaging industry, enabling companies to meet sustainability goals while maintaining performance and cost efficiency.
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No Data No Problem: How to get started with AI in Adhesives and Sealants
White Paper – No Data No Problem: How to get started with AI in Adhesives and Sealants
This paper will outline what value Adhesives and Sealants companies are already gaining from AI and give practical tips on how to get started and what to look for in an AI provider.
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No Data No Problem: How to get started with AI in Paints and Coatings
White Paper – No Data No Problem: How to get started with AI in Paints and Coatings
This paper will outline what value Paints and Coatings companies are already gaining from AI and give practical tips on how to get started and what to look for in an AI provider.
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The Value of AI in Polymers
White Paper – The Value of AI in Polymers
Leaders across the Polymers value chain have adopted AI as part of their product development and optimization processes, and with good reason - it works!
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White Paper: How Beauty and Personal Care Companies Extract Value from AI
White Paper – How Beauty and Personal Care Companies Extract Value from AI
Consumer Packaged Goods (CPG) companies have been adopting AI as part of their product development process, and with good reason - it works! Learn how the Citrine Platform is delivering ROI for 2 of the 5 top global CPG companies worldwide.
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White Paper - Agile Recycled Plastics Formulation
White Paper – Agile Recycled Plastics Formulation Using AI
Recycling polymers is important. Customers are specifying sustainability criteria, and legislation is now in place in major markets to forcibly increase recycling efforts. Motivation is high to work out how we can recycle plastics into new high-quality plastics in a consistent and efficient way.
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Materials Informatics for Coatings Formulations
White Paper – Materials Informatics for Coatings Formulations
To meet ever-shifting market, customer and supply demands, leaders in the coatings industry have adopted materials informatics (MI) to accelerate formulation development.
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formulations image of flasks
White Paper – Challenges in Machine Learning for Formulations
Formulations development has unique challenges associated with the vast spectrum of possible ingredient combinations and the complex rules that govern their mixing. Learn how we address these challenges with formulations-specific AI and data management approaches.
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Catalyst
White Paper – AI and Catalysis
This paper explains and gives examples of how AI can be used to efficiently explore the highly multi-dimensional challenge of developing new catalysts and how hierarchical, graphical AI models can be used to model complex interactions and compensate for scarce data through transfer learning. 
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3dprintingheader
Ebook – AI for AM
This paper explores how AI can be used to accelerate developments in additive manufacturing materials, and how AI can help optimize processing parameters.
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Battery cross section showing the components of a battery system that can be optimized with AI.
Ebook – Better Battery Design Using AI
Better batteries with with higher energy density and the ability to charge quickly are needed to enable the energy transition. This paper explores how AI can be used to reach ambitious battery property targets quickly, through material development, battery configuration optimization and improved battery testing. 
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Concepts

Leveraging Physics-Based Models and AI for New Material Development
White Paper – Leveraging Physics-Based Models and AI for New Material Development
Physics-based models (PBMs) are used extensively in materials research, primarily as a proxy for more time and cost intensive experimental material production and characterization.
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Big Data vs small data
White Paper – Challenges in Machine Learning for Materials
Learn how Machine Learning for Materials and typical AI applications are different. See how Citrine has overcome these difficulties and why off-the-shelf open source AI will require a lot of tailoring to make it work in this space.
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AI Workflow
White Paper – Domain Knowledge Integration
Learn how the Citrine Platform integrates domain knowledge to accelerate development and increase knowledge sharing across a materials or chemicals business.
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Data Management

ELN/LIMS or Materials Informatics (AI/ML)?
White Paper – ELN/LIMS or Materials Informatics (AI/ML)?
Many R&D leaders embarking on a digital transformation journey face a common dilemma: should you implement an Electronic Lab Notebook (ELN), a Laboratory Information Management System (LIMS), or a Materials Informatics platform 3 and in which order?
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Data Management on the Citrine Platform
White Paper – Data Management on the Citrine Platform
Understand the data landscape and get tips on data management best practices. Learn how to upload your data to the Citrine Platform and how to prioritize data digitization.
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Advanced Data Preparation Services
White Paper – Advanced Data Preparation Services
Short overview of the data preparation services we offer and how they add value to customers.
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Integration with the Citrine Platform
White Paper – Integration with the Citrine Platform
Overview of how the Citrine Platform fits in to your wider data ecosystem.
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Security

White Paper - Generative AI and LLM Security Levels
White Paper – Generative AI and LLM Security Levels
Most people have heard the stories of LLMs like ChatGPT hallucinating. But that is not the only risk to using a large language model (LLM). These models learn and process data in different ways, and employees must take great care with them to ensure the model's stated security policies...
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Research Papers

Papers by Citrine

Read the latest publications by Citrine Informatics.

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Papers Mentioning Citrine

Citrine Informatics has been mentioned in many industry papers.

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