Resources

Materials Informatics Platform Accelerates Product Development, Enabling Lean R&D

Advancing Additive Manufacturing Using Data Visualization and AI

European Academia Consortium “Track the Twin” puts quantum dot technology on the map with the help of MaterialsZone

Applying AI to Manage, Synchronize Material Data and Power Material Development

AI as the Logical Next Step to Digital Transformation in R&D

MaterialsZone highlights AI-driven product development as the packaging industry’s future

How MaterialsZone brings PM+UX+data science together to help materials scientists accelerate R&D

AI-Guided Product Development Feature

Advancing materials science research with AI

Lean R&D benefits

Using the Power of Data-Driven Decision Making to Promote Innovation and Sustainability in Manufacturing

How AI is helping cut cosmetic stability testing times

Finding Gold in the Innovation Exhaust

MaterialsZone Raises $6M to Improve AI Materials Discovery Platform

Materials Zone Raises $6 Million Series A to Boost AI Materials Discovery Platform

MaterialsZone Raises $6 Million to Improve Its AI Materials Discovery Platform and Expand Its Global Reach

MaterialsZone Raises $6M in Series A Funding

Published by Nature - MaterialsZone took part in building the biggest perovskite solar cells database

Israeli Co MaterialsZone Raises $6M

MaterialsZone Raises $6M for Its Materials Discovery Platform

Israeli Startup Aids Hunt to Discover Materials for Tomorrow’s World

MaterialsZone named among the top 5 AI Startups impacting the Materials Industry

MaterialsZone named among the top materials informatics market players

MaterialsZone is one of the key market players in materials informatics

Unlocking the Full Potential of Your R&D

How embracing technological advancements in manufacturing can lead to a sustainable future

Simplifying R&D: tech solutions for faster and more efficient NPD

Assaf Anderson On How To Use Digital Transformation To Take Your Company To The Next Level

A Material World: An Interview With MaterialsZone CTO Ori Yudilevich

MaterialsZone Develops Data-Driven Materials Informatics

Unveiling the Power of Materials Informatics in Manufacturing

Materials Research for Consumer Product Design

Lean R&D. Analytic AI accelerates ceramic processes and materials development

MaterialsZone Enables Further Innovation at Kafrit Group, Enhancing Products and Customer Experience

MaterialsZone Recognized as a Representative Vendor in the 2024 Gartner® Market Guide

How AI Is Being Harnessed to Advance the Adhesives and Sealants Industry

Webinar "Do Less, Discover More: AI-Guided R&D in Action"

Join Jeff and Omri to discover how AI-powered materials informatics tools are transforming Advanced Materials R&D by reducing experimental cycles and accelerating formulation discovery.

K 2025

See how AI-Guided R&D is transforming plastics and advanced materials – meet us at K 2025.

The Advanced Materials Show, USA

We are delighted to be exhibiting at the Advanced Materials Show in Columbus, Ohio (USA) on September 30 - October 1. Visit us at Booth 428!

Webinar "Do Less, Discover More: How AI Is Changing the Advanced Materials Game"

Discover how AI-powered materials informatics tools are transforming Advanced Materials R&D by reducing experimental cycles and accelerating formulation discovery. Learn how smart data and smarter tools are reshaping materials innovation.

Webinar "Revolutionizing Paints & Coatings: AI-Driven Innovations for Smarter Formulations"

The webinar is now available on demand.

European Coatings Show 2025

The gathering of the coatings and paint industry from 25 – 27 March 2025

The Coatings Trends & Technologies (CTT) Summit 2024

The annual conference for coatings formulators and manufacturers to discuss innovations in coatings technology

NANO Connect Webinar: From Discovery to Manufacturing - The Materials Zone Platform

Materials Zone, a scientific AI/ML-based collaborative platform, harnesses data, technological tools, and years' worth of extensive know-how and experience to accelerate R&D and manufacturing processes and reduce costs across industries. Learn more about how the platform can help you achieve meaningful AI/ML insights and drive better decision-making.

SmartLab Exchange USA 2024

Digitizing and automating the lab space

FAIR-DI Workshop: Machine Learning

How to achieve meaningful AI/ML insights to accelerate R&D and manufacturing processes. A presentation by Assaf Anderson from Materials Zone.

nanoGe Fall Meeting

This symposium invites contributions on new challenges to enhance the performance of perovskite-based photovoltaic cells, light-emitting devices, and related optoelectronic devices for energy harvesting & production and optical information processing. It will further consider theoretical modelling of new materials or analytic approach to material and device degradation. Perovskite-like materials inspired from halide perovskite crystals will also be discussed in the scope of the symposium.

Formnext - The International Exhibition for Additive Manufacturing

Digital solutions for additive manufacturing

Techblick - Machine Learning in New Material Discovery

From Materials Data to AI Accelerated Results, Fast! Materials Informatics Platform (MIP) is an organizational platform that accelerates materials/products innovation.

K - The world's No 1 trade fair for plastics and rubber

From Materials Data to AI Accelerated Results Faster! AI/ML Acceleration for the Plastics Industry.

AI4QD Workshop

Designing the Nanomaterials of the Future - Opportunities from Artificial Intelligence. We are proud to host keynote speakers such as Prof. Edward Sargent, Prof. Marjolein Djistra, Dr. Emory Chan, and Prof. Liberato Manna. Don’t miss out! Register in the link below for free participation-

Future Labs Live Basel 2024

DIGITAL. AUTOMATED. CONNECTED.

Accelerating Semiconductor & Display Innovation with AI‑Driven Materials Informatics

Modern semiconductor and display development is constrained by complex materials challenges and lengthy experimental cycles. R&D teams face intense pressure to optimize processes and materials faster, et traditional trial-and-error approaches struggle to keep pace. Materials informatics – the application of AI/ML to materials data – offers a breakthrough. It leverages vast materials and process data to predict outcomes and guide experiments, reducing development time.

AI‑Enabled Sustainable Materials: Integrating Recycled Resources in Photovoltaics and Semiconductors

As the push for sustainability grows, semiconductor and photovoltaic (PV) industries are under increasing pressure to incorporate recycled materials into their products. Embracing recycled feedstocks (like reclaimed silicon, metals, or plastics) can reduce waste and carbon footprint. However, doing so in high-performance electronics is non-trivial – recycled materials often exhibit variability and unknown impacts on product quality. This white paper examines how an AI-driven materials informatics approach can de-risk and optimize the integration of recycled resources.

MaterialsZone’s White Paper on The Transformation Towards Lean R&D

The concept of Lean, originating from Toyota's manufacturing processes, has revolutionized industries worldwide by optimizing efficiency and minimizing waste. In this white paper, we explore the journey of Lean principles from their inception to their application in materials research and development (R&D).

Security at MaterialsZone

Materials informatics plays a critical role in accelerating materials discovery, development, and optimization. In the age of digital transformation, ensuring the security of data and information is a top priority. Our company recognizes the importance of robust security measures to protect intellectual property, sensitive research data, and client information and hereby earns the trust of our customers by making data security our top priority.

Accelerating Materials Science Discovery through AI-Powered Active-Learning

This white paper advocates for the integration of AI with active learning in materials science and chemistry research. By addressing the limitations of traditional trial-and-error methods, AI offers a transformative approach that can greatly enhance the material product development process. It accelerates the materials discovery process, leading to faster and more cost-effective innovations across various industries. As technology progresses, the fusion of AI and materials science promises a more efficient and promising future for materials research.