“단순화는 혁신의 핵심입니다.” - Nicolas Sary, Henkel
Drive electronics and semiconductors 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 data solutions and services help technology R&D teams put insights to work across the organization.
새로운 제품을 만드는 것은 전문이 있어야만 가능합니다. 전문이 없다면 우리는 경쟁사와 비슷한 수준의 컨트롤러를 판매하게 될 뿐이며, 경쟁 우위를 가질 수 없을 것입니다.
제품 엔지니어링 디렉터
기술 기업
LeapSpace가 관련 논문들을 골라 주었습니다… 이 목록을 직접 만들었다면 45~50분은 걸렸을지도 모릅니다… 한 시간짜리 작업이 단 몇 초로 줄어들었습니다.
기술 파트너십 매니저
선도적 화학 공급업체
[LeapSpace]의 응답은 매우, 매우 잘 구조화되어 있습니다… “confidence level”은 제가 정말 마음에 들어 하는 새로운 요소이고, 근거 링크와 관련성 순위까지 제공됩니다. 이런 것은 전에 본 적이 없습니다.
운영 책임자
글로벌 상위 5대 에너지 기업
LeapSpace for R&D – AI-powered R&D solution for electronics and semiconductors
Elsevier helps R&D teams in electronics and semiconductors bring innovations to market faster with end-to-end risk management. Our R&D solutions include research platforms, 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.
Ideation and discovery — Is our idea worth exploring?
Uncover the insights you need to make crucial decisions, faster. R&D teams partner with Elsevier to prioritize the right concepts, analyze the research landscape and identify the best paths forward before investment.
Use LeapSpace to synthesize evidence across disciplines to understand what’s established and where risks may emerge. Use Scopus to turn global research activity into structured intelligence, assessing where real opportunities exist. Use Reaxys to explore the chemical space and evaluate viable synthesis routes.
Use Elsevier Datasets to access, extract and integrate data from full-text literature, images and tables with seamless integration into AI and predictive models.
Technical feasibility and decision-making — What innovations can we bring to reality?
R&D teams in electronics and semiconductors partner with Elsevier to explore the scientific feasibility of innovation ideas, including new materials, technology and products.
Use LeapSpace to synthesize trusted evidence to support a business case for innovation, not just a literature review. Knovel's engineering knowledge enables early testing of performance limits, materials and parameters to reduce design risk. Use ScienceDirect to explore underlying mechanisms, compare technical approaches and assess constraints and trade-offs. Reaxys helps teams focus on compounds that meet both performance and manufacturability requirements, and move more efficiently from design to synthesis.
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 supporting the improvement of engineering processes.
When yield or reliability issues emerge, ScienceDirect helps clarify whether the behavior has been previously documented and support root-cause analysis when internal knowledge is limited.
When ramp or qualification issues emerge, Knovel provides validated engineering properties, equations, tolerances and operating limits — helping teams confirm real-world constraints and stabilize performance under production conditions.
When root causes are chemically driven, Reaxys helps teams resolve yield variability.
Sustainable innovation electronics and semiconductors — How do we drive a competitive edge?
Elsevier connects R&D teams to the information and technology they need to bring sustainable innovations to market, faster. The peer-reviewed full-text scientific literature in in ScienceDirect, trusted chemistry data in Reaxys, engineering insights in Knovel and AI-driven discovery of LeapSpace all support confident, sustainable development across the energy landscape.
Identify greener alternatives and sustainable materials, evaluate physicochemical properties, optimize processes for efficiency and safety while bridging the gap from the lab to production. With LeapSpace, synthesize insights across vast volumes of literature and data in one AI-assisted workspace.
How can Elsevier support electronics and semiconductors innovation at your organization?
