"Simplification is the key to transformation." - Nicolas Sary, Henkel
Optimize chemicals and materials R&D with Elsevier data and tools
Gain critical insights and make new connections through AI workspaces, datasets and tools, built on trusted evidence and domain expertise. Elsevier's dedicated data solutions and services help innovators put insights to work across the R&D organization.
Reaxys automates bringing data together so our scientists can focus on analysis and making more confident decisions.
Colin Sambrook Smith
Director of Computational Sciences and Informatics at Sygnature Discovery
LeapSpace picked out the relevant articles… maybe I would have spent 45-50 minutes in coming up with this list… an hour’s work got reduced to just a few seconds.
Technology Partnerships Manager
Leading Chemicals Provider
The [LeapSpace] response is very, very well structured… the "confidence level" is something novel that I like a lot plus the links to the evidence and then even the ranking of the relevancy. I haven’t seen anything like that before.
Operations Head
Top 5 Energy Company
Making new products is only possible with full text. Without it, we would be selling a controller that would be on par with competitors — we wouldn't be able to have a competitive edge.
Product Engineering Director
Technology Company
AI-powered R&D solutions for chemicals and materials
Elsevier helps chemicals and materials teams bring innovations to market faster with end-to-end risk management. Our R&D solutions include research platforms, chemistry databases, curated datasets, predictive and analytical tools, and a research-grade AI workspace — LeapSpace. LeapSpace unifies key research workflows in one secure environment:
Explore complex scientific questions
Compare evidence and perspectives
Upload and analyze your own documents
Identify collaborators and topic experts
Designed to prioritize trust, privacy and security, LeapSpace enables faster discovery with confidence.
Mapping the landscape and exploring freedom to operate — Is our idea worth exploring?
Elsevier’s innovative AI workspaces, datasets and tools are built on the most trusted scientific content, with features to support critical thinking and promote faster discovery.
Uncover the insights you need to make crucial R&D decisions, faster. R&D teams partner with Elsevier to explore relevant patent data, analyze the research landscape and identify gaps. Evaluate prior art and examine technical pathways to understand whether an idea is novel, differentiated and worth pursuing.
Power custom applications and third-party tools with curated, enriched datasets from Elsevier.
Technical feasibility — Is there a credible path from idea to reality?
With Elsevier’s trusted databases, R&D teams can explore the scientific feasibility of innovation ideas, including new materials and sustainable products. Use AI to synthesize trusted evidence to create a business case for innovation, not just a literature review.
Reference experimental procedures, materials, parameters, boundary conditions, performance data and more to test which ideas are in best position to be brought to market effectively.
Elsevier’s chemistry data covers:
125M documents
49M patents
353M substances
72M reactions
51M bioactivities
Elsevier’s databases, content and technology help R&D teams make evidence-based decisions to help manage risk and drive efficiency.
Development and scale-up — Can we deliver this reliably, at scale and at the right cost?
Elsevier supports bridging the lab-to-production gap with comprehensive information on manufacturing processes and trusted engineering reference data. Beyond full-text literature, this includes curated content from 180+ global engineering publishers.
Elsevier’s engineering information encompasses hundreds of thousands of materials, chemicals and substances, with data on more than 100 critical physical, chemical and material properties needed for design, simulation and scale-up.
R&D teams partner with Elsevier through development and scale-up to support confident and efficient operations.
Sustainable innovation in chemicals — How do we drive a competitive edge?
Elsevier connects R&D teams to high-quality scientific literature, trusted materials and property data, process engineering insights and AI-driven workflows to support faster, more confident sustainable innovation.
Identify greener alternatives and sustainable materials, evaluate physicochemical properties, optimize processes for efficiency and safety and bridge the gap from the lab to production. Synthesize insights across vast volumes of literature and data in one AI-assisted workspace.
Chemicals companies partner with Elsevier to accelerate sustainable innovation and reduce risk while driving a competitive edge — bringing sustainable innovations to market, faster.
Elsevier helps chemicals and materials impact-makers succeed
How can Elsevier support chemicals and materials innovation at your organization?
