Molecular Insight, Material Impact
Please find within this page details around utilizing Schrödinger’s software and services within the Battery industry.
Battery Presentation
Download our Battery presentation to learn more about Schrödinger and our software capabilities.
Typical Roadmap to Adoption
Here is an example of an adoption pattern followed by similar companies. This is completely customizable and can be segmented to meet your needs.
1
Technical Engagement
Meet with our experts to discuss how modeling and simulation can address your R&D needs
2
Contract Research
Optionally, outsource a project to our experienced contract research team
3
Training & Courses
Learn to use our software – whether you are a complete beginner or expert
4
5
Webinars and White Papers
Webinar
Materials Science
High-performance materials discovery: A decade of cloud-enabled breakthroughs
This talk will showcase how Schrödinger’s integrated materials science platform enables massive parallel screening and de novo design campaigns across diverse applications.
Webinar
Materials Science
How Physics-based Modeling and Machine Learning Enable Accelerated Development of Battery Materials
In this webinar, we focus on examples to demonstrate the application of automated solutions for accurate prediction of thermodynamic stability and voltage profile of cathode materials, ion diffusion pathways and kinetics in electrode materials, transport properties of liquid electrolytes and modeling the nucleation and growth of solid electrolyte interphase (SEI) layers using Schrödinger’s SEI simulator module.
Webinar
Materials Science
Electrodes, electrolytes & interfaces: Harnessing molecular simulation and machine learning for rapid advancements in battery materials development
In this webinar, we demonstrate the application of automated solutions for accurate prediction of thermodynamic stability and voltage profile of cathode, ion diffusion pathways and kinetics in electrode materials, transport properties of liquid electrolytes and modeling the nucleation and growth of solid electrolyte interphase (SEI) layers using Schrödinger’s SEI simulator module.
Webinar
Materials Science
Purposeful simulation: Maximising impact in surface chemistry modelling
In this webinar, learn about a variety of atomistic models of surfaces and gain perspective on the underlying rationale, benefits and limitations of each.
Publications
Exploring Molecules with Low Viscosity: Using Physics-Based Simulations and De Novo Design by Applying Reinforcement Learning
Panasonic Publication
ReadDesigning the next generation of polymers with machine learning and physics-based models
SABIC Publication
ReadQuantum chemical package Jaguar: A survey of recent developments and unique features
Schrödinger Publication
ReadLeveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
Schrödinger Publication
ReadAccurate Quantum Chemical Reaction Energies for Lithium-Mediated Electrolyte Decomposition and Evaluation of Density Functional Approximations
Academic Publication
ReadHigh-Dimensional Neural Network Potential for Liquid Electrolyte Simulations
Schrödinger Publication
Read