Resources

Viscometers: A Buyer's Guide to Select the Perfect One

Whether you're developing a new drug, formulating a coating, or scaling up food production, viscosity is a critical parameter. It affects flow behavior, product stability, sensory experience, and regulatory classification. However, as materials become more complex and regulatory standards become more demanding, traditional viscosity measurement methods often fall short by introducing risk and variability, where precision is essential.

Top 8 Lab Inventory Management Software for 2025

Why is your R&D laboratory's productivity down? Missing reagents, expired chemicals, and wasted hours searching for supplies are common reasons. These issues not only slow down research but also drive up operational costs. However many labs continue to rely on outdated tracking methods for managing inventory, such as spreadsheets and manual logs, that make it difficult to maintain accurate records and keep up with growing material demands.

Top 9 Electronic Lab Notebook (ELN) Software Solutions

Scientific research is more data-driven than ever, and laboratories worldwide produce vast amounts of information daily. Yet, many still rely on outdated record-keeping systems or fragmented digital tools, which leads to inefficiencies, mistakes, and compliance risks. In high-stakes environments, disorganized records can slow innovation and inflate costs—and even put workers at risk.

The Essential Guide to the 13 Mechanical Properties of Metal

Selecting the right metal for R&D and manufacturing is more complex than ever. Choosing the wrong material can cause costly delays, failed prototypes, and compromised product performance. In industries where precision is crucial—such as aerospace, pharmaceuticals, and advanced materials—understanding a metal's mechanical properties is fundamental to ensuring durability, compliance, and reliability.

Top 10 Six Sigma Tools

Sometimes, small things have major consequences: A failed drug batch or a structural flaw in an advanced material can often be traced back to a seemingly minor deviation in the production process, like a slight shift in formulation or an overlooked equipment calibration.

10 Examples of Good Laboratory Practice (GLP)

Modern laboratories face growing challenges as they navigate the complexities of scientific research. From ensuring data integrity and maintaining compliance with stringent regulations to managing the rapid pace of technological advancements, these demands have raised the stakes for laboratories across industries.

Top 10 Lab Automation Software Solutions

The demands on modern laboratories are growing every day. Researchers are pushed to produce results faster and more efficiently than ever before. Labs are drowning in data that must be managed, analyzed, and interpreted accurately. There are also the challenges of maintaining efficiency and quality while dealing with rising costs, shrinking budgets, and staffing shortages.

What Is Lab Automation, and How to Do It Successfully

R&D processes today are more demanding than ever. Laboratories must balance increasing workloads, tighter deadlines, and growing complexity in managing data and workflows. At the same time, ensuring accuracy and regulatory compliance remains non-negotiable. Traditional manual processes introduce inefficiencies that delay progress and hinder innovation. The solution? Lab automation.

Top 10 Universal Tensile Machines (UTM) for Chemical Labs

The chemical industry is evolving rapidly, and there have been recent breakthroughs in sustainable plastics, advanced composites, and other innovative materials. Testing these materials for strength, flexibility, and durability is essential for meeting rigorous safety and performance standards. In laboratories around the world, Universal Tensile Machines (UTMs) provide the precise measurements necessary for these evaluations.

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

AI-Guided Product Development Feature

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

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

Webinar "Paint the Future: AI-Guided Solutions 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

Future Labs Live Basel 2024

DIGITAL. AUTOMATED. CONNECTED.

SmartLab Exchange USA 2024

Digitizing and automating the lab space

Formnext - The International Exhibition for Additive Manufacturing

Digital solutions for additive manufacturing

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.

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.

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-

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).

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.

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.