- Aug 7, 2024
Leveraging atomistic simulation, machine learning, and cloud-based collaborative ideation for display materials discovery
This webinar will explore the union of physics-based simulations, machine learning (ML), and cloud-native collaboration and informatics tools in revolutionizing R&D innovation for display materials.
- Jun 26, 2024
Electrodes, electrolytes & interfaces: Harnessing molecular simulation and machine learning for rapid advancements in battery materials development
Schrödinger is excited to be presenting in a webinar hosted by the Battery Technology Platform, taking place on June 26th.
- Jun 4, 2024
Schrödinger Materials Science Seminar Japan 2024
《無料Webセミナー》材料開発向けシミュレーション・ソフトウェアおよびマテリアルズ・インフォマティクスの活用事例を紹介。
- May 29, 2024
Taking experimentation digital: Materials innovation using atomistic simulation and machine learning at-scale
In this talk, we will introduce a modern approach to materials R&D using a digital chemistry platform for in silico analysis, optimization and discovery.
- May 9, 2024
Beyond AI: The importance of physics-based simulations in next generation food design webinar
Schrödinger will be presenting in a live webinar on Beyond AI: The importance of physics-based simulations in next generation food design. This virtual event will be hosted by IFT (Institute of Food Technologists) on May 9th and features Dr. Jeffrey Sanders, product manager at Schrödinger.
- Apr 25, 2024
Introducing PyMOL 3: Bring your biochemistry to life with 3D molecular visualization and movie making
With PyMOL 3, we’re taking molecular visualization to new heights – empowering scientists, educators, marketers, and communicators to bring their science to life.
- Apr 10, 2024
Automated digital prediction of chemical degradation products
Chemical degradation is the process by which chemical substances undergo structural changes, leading to the breakdown of their molecular integrity into simpler chemical compounds.
- Feb 28, 2024
Chemical innovation for regulatory changes: Leveraging digital simulations for efficient molecular design
Regulations in chemical and materials manufacturing continue to evolve as our understanding of the impact of man-made materials on the environment and human health improves.
- Dec 12, 2023
In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs
Computational chemistry is ubiquitous in academic research in chemistry, materials science, and engineering.
- Oct 10, 2023
Data-driven materials innovation: Where machine learning meets physics
In this webinar, we demonstrate how Schrödinger’s tools can help overcome these common challenges by using a combination of physics-based simulation data, enterprise informatics, and chemistry-informed ML.
- Jun 28, 2023
Cutting-Edge Cosmetics: Innovating for Sustainability with Machine Learning & Molecular Simulations
In this webinar, we’ll explore the challenges chemists face, and how new approaches can help find solutions quicker.
- Jun 23, 2023
Progress in understanding atomic level processing at the atomic scale
In this talk, we will dip into stories about how simulations have advanced our understanding of the growth mechanisms of ALD, and lately of ALE too.
Case Studies
Events
- Jul 28th – Aug 1st, 2024
Biennial Conference on Chemical Education 2024
Schrödinger is excited to be participating in the Biennial Conference on Chemical Education 2024 taking place on July 28th – August 1st in Lexington, Kentucky.
- Aug 1, 2024
Schrödinger Pharmaceutical Formulation Day Japan 2024
製剤関連分野に焦点を当て、弊社のソリューションと応用事例の紹介セミナーを初開催します。
- Aug 4th-8th, 2024
8th International Conference on Vibrational Optical Activity
Schrödinger is excited to be participating in the 8th International Conference on Vibrational Optical Activity taking place on August 4th – 8th in Bochum, Germany.
Publications
- Publication
- Dec 17, 2023
Understanding the binding interaction mechanism of i-motif with fluorophores: A biophysical approach
Ibrahim, et al. Chemical Physics Impact, 2023, 7, 100370- Publication
- Nov 2, 2023
Chiral Sensing of Tryptophan Enantiomers Based on the Enzyme Mimics of β-Cyclodextrin-Modified Sulfur Quantum Dots
Jiang, et al. ACS Sensors, 2023, 8(11), 4264–4271- Publication
- Oct 9, 2023
Understanding the Effect of the Oil-to-Surfactant Ratio on Eugenol Oil-in-Water Nanoemulsions Using Experimental and Molecular Dynamics Investigations
Debraj, et al. Industrial & Engineering Chemistry Research, 2023, 62(41), 16766–16776Webinars
- Aug 7, 2024
Leveraging atomistic simulation, machine learning, and cloud-based collaborative ideation for display materials discovery
This webinar will explore the union of physics-based simulations, machine learning (ML), and cloud-native collaboration and informatics tools in revolutionizing R&D innovation for display materials.
- Jun 26, 2024
Electrodes, electrolytes & interfaces: Harnessing molecular simulation and machine learning for rapid advancements in battery materials development
Schrödinger is excited to be presenting in a webinar hosted by the Battery Technology Platform, taking place on June 26th.
- Jun 4, 2024
Schrödinger Materials Science Seminar Japan 2024
《無料Webセミナー》材料開発向けシミュレーション・ソフトウェアおよびマテリアルズ・インフォマティクスの活用事例を紹介。
White Papers
- Jul 12, 2024
From Molecules to Optics
In this white paper, we demonstrate the synergistic application of Schrödinger and Ansys predictive technologies to accelerate characterization, design and optimization of high-performing OLED materials and devices using a multi-scale multi-physics simulation approach.
- May 6, 2024
Closing the gap between material discovery and engineering design with multiscale simulation
This white paper presents a multiscale modeling framework for designing and characterizing fiberreinforced composites using technologies from Schrödinger and Ansys.
Latest insights from Extrapolations blog
Training & Resources
Online certification courses
Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.
Free learning resources
Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.