Academic Site License
Large scale, university-wide access to Schrödinger software
All campus access to:
• Small molecule drug discovery, biologics discovery, and materials science software suites
• Active learning technologies
• PyMOL 3 molecular visualization software
• Seats for Schrödinger online certification courses
• Teaching with Schrödinger course materials
What’s Included
Enable teaching and research across your entire institution with Schrödinger’s industry-leading molecular modeling and machine learning tools.
Perform cutting edge research and train the next generation of scientists at your university with Schrödinger’s most comprehensive set of large-scale software licenses, spanning life science and materials science applications.
Powering teaching and research at leading universities
Access leading molecular modeling software across your entire university
Academic Departments — Chemistry, Physics, Biology
Students and researchers in a variety of academic departments use Schrödinger software to: accelerate molecular design and evaluate chemical stability of molecules; understand reaction mechanisms; use theory to enhance product yield and output; and simulate IR, Raman, UV-Vis, and NMR spectroscopy.
Health Sciences & Medical School
Students and researchers medical schools and health science departments use Schrödinger software to: perform structure prediction, protein-ligand docking, virtual screening, and more; computationally engineer antibodies, peptides, enzymes, antigens, and other biologics modalities; and speed up pharmaceutical formulation development.
School of Engineering
Students and researchers in engineering schools use Schrödinger software to: model materials for batteries, fuel cells, hydrogen storage, and more; simulate and analyze critical properties of component materials and interfaces; build machine learning models with automated cheminformatics tools; and enumerate and explore vast chemical space using streamlined workflows.
Solutions for diverse drug discovery and materials science applications
- Biologics Discovery
- Polymeric Materials
- Organic Electronics
- Catalysis & Reactivity
- Thin Film Processing
- Energy Capture & Storage
- Complex Formulations
Get more from your ideas by harnessing the power of large-scale chemical exploration and highly accurate, in silico property predictions
- Structure Prediction & Target Enablement
- Hit Discovery
- Hit-to-Lead & Lead Optimization
- Drug Formulation
Rationally design high-quality biologics with Schrödinger’s state-of-the-art computational modeling technologies
- Antibody Design
- Peptide Discovery
- Enzyme Engineering
Polymeric Materials
Understand and predict product performance through simulations of polymers at molecular and atomic scale.
- Accurately predict chemical reactivity, polymer morphology, and key physicochemical properties
- Design new polymers, screen formulations, and optimize manufacturing
- Leverage easy to use, automated workflows for discovery and optimization
Organic Electronics
Discover optimal organic electronic materials with good conductivity, mechanical and thermal stability, and suitable for fabrication.
- Accurately predict key optoelectronic properties
- Run high-throughput screening for rapid design and discovery of advanced materials
- Leverage easy-to-use, automated workflows backed by expert scientific support
Catalysis & Reactivity
Accelerate the discovery of the next generation of catalytic and non-catalytic processes.
- Run automated workflows for high-throughput discovery of novel catalysts and reactants
- Elucidate the details of reactivity, selectivity, and specificity
- Leverage a collaborative enterprise platform for novel materials discovery
Thin Film Processing
Optimize atomic level processing for the semiconductor industry and improve device performance.
- Accurately predict surface reactivity to optimize deposition or etch processes
- Validated prediction of precursor volatility by machine learning
- Leverage efficient simulation tools for the design of novel chemicals for materials processing
Energy Capture & Storage
Accelerate the development of cleaner, lighter, safer, and more energy-efficient materials for batteries, fuel cells, and photovoltaics.
- Predict key properties for batteries, fuel cells, photovoltaics, and hydrogen storage R&D
- Simulate and analyze critical properties of component materials and interfaces
- Enumerate and explore vast chemical space using streamlined workflows
Complex Formulations
Optimize the properties of end formulation products across the pharmaceutical, consumer product, plastic, composite, and petrochemical industries.
- Predict key properties with automated workflows
- Accelerate ingredients selection with high-throughput screening and machine learning
- Identify risks and predict performance in processing
Prepare your students to solve the chemistry challenges of tomorrow
Academic Site License includes access to:
- Schrödinger’s online certificate courses in life science and materials science to advance students’ career development and enhance their research skills
- Free curriculum and tutorials for educators to use with the software and enhance your courses