Designing the next generation of materials starts at the molecular level.
Our molecular modeling platform enables the prediction of better properties for better materials.
Our molecular modeling platform enables the prediction of better properties for better materials.
Discover optimal organic electronic materials with good conductivity, mechanical and thermal stability, and suitable for fabrication.
Understand and predict product performance through simulations of polymers at molecular and atomic scale.
Harness molecular simulation to accelerate innovation for consumer goods
Accelerate the discovery of the next generation of catalytic and non-catalytic processes.
Optimize atomic level processing for the semiconductor industry and improve device performance.
Accelerate the development of cleaner, lighter, safer, and more energy-efficient materials for batteries, fuel cells and photovoltaics.
Optimize your pharmaceutical at the molecular level with smart, strategic drug formulation
Enable the design of high-performance inorganic materials with highly efficient multiscale simulations and cheminformatics machine learning models.
Explore how teams can apply Schrödinger technology to accomplish their work across industries.
Automated machine learning solution to generate accurate formulation-property relationships and screen new formulations with desired properties
Schrödinger has partnered with Ansys since 2023 to enable the development and implementation of multiscale simulation, providing engineers with a powerful tool for virtual material design and optimization
In this webinar, we will introduce Schrödinger’s state-of-the-art MLFF architecture, called Message Passing Network with Iterative Charge Equilibration (MPNICE), which incorporates explicit electrostatics for accurate charge representations.
How Schrödinger’s materials science domain experts ensure partner success
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