Identify and screen new materials faster, cutting costly physical testing. Predict failure mechanisms — fatigue, creep, hydrogen embrittlement, stress corrosion cracking. Accelerate alloy and coating design through computational screening. Shorten development cycles and reduce prototype costs with accurate property prediction under extreme conditions. Leading industrial innovators — from Bosch and Toyota to General Motors and Michelin — apply Materials Design simulation software to solve some of the most demanding materials challenges in transportation, electrification, and advanced manufacturing. By combining first-principles DFT, atomistic modeling, and force field simulations, they construct realistic amorphous polymer models for engineering plastics, predict how moisture uptake alters mechanical performance, and quantify structural evolution in battery cathode materials during charging and discharging. These approaches enable accurate prediction of hygromechanical behavior and chemo-mechanical responses that would otherwise require extensive and time-consuming physical testing. Across applications ranging from automotive polymers and EV battery materials to recycling processes for high-performance plastics, Materials Design has helped accelerate development cycles, reduce experimental burden, and deliver competitive advantage through predictive, physics-based insight. Why Materials Design? High-performance alloys: Predict thermal, mechanical, and microstructural behavior in turbine blades and engine components. Lightweight materials: Accelerate qualification of composites and advanced alloys for weight reduction without compromising integrity. Fuels, lubricants, and additives: Predict thermophysical properties under extreme temperatures and pressures of aviation engines. Battery materials: Understand electrode behavior, ion transport, and degradation to design more durable battery systems.
