- Publication
- Nov 19, 2024
Olefination with sulfonyl halides and esters:Mechanistic DFT and experimental studies, andcomparison with reactivity of phosphonates
Basak, et al. Elements, 2024- Publication
- Nov 19, 2024
Exploring Molecules with Low Viscosity: Using Physics-Based Simulations and De Novo Design by Applying Reinforcement Learning
Matsuzawa, et al. Chemistry of Materials, 2024, 36(23), 11706-11716- Publication
- Nov 4, 2024
Designing the Next Generation of Polymers with Machine Learning and Physics-Based Models
Chew, et al. Machine Learning: Science and Technology, 2024, 5, 045031- Publication
- Nov 1, 2024
Designer Fluorescent Redoxmer Self-Reports Side Reactions in Nonaqueous Redox Flow Batteries
Robertson, et al. Batteries & Supercaps, 2024- Publication
- Oct 29, 2024
Photooxygenation reactions under flow conditions: An experimental and in-silico study
Moroni, et al. Organic Chemistry, 2024, Preprint- Publication
- Oct 28, 2024
Modelling of Prednisolone Drug Encapsulation in Poly Lactic-co-Glycolic Acid Polymer Carrier Using Molecular Dynamics Simulations
Acharya, et al. Journal of Pharmaceutical Innocation, 2024, 19(70)- Publication
- Oct 24, 2024
Low pKa Phosphido-Boranes Capture Carbon Dioxide with Exceptional Strength: DFT Predictions Followed by Experimental Validation
Riasati, et al. The Journal of Physical Chemistry Letters, 2024, 15(43), 10909-10917- Publication
- Oct 23, 2024
Cu-TiO2/Zeolite/PMMA Tablets for Efficient Dye Removal: A Study of Photocatalytic Water Purification
Armaković, et al. Catalysts, 2024, 14(11), 746- Publication
- Oct 18, 2024
Steviol rebaudiosides bind to four different sites of the human sweet taste receptor (T1R2/T1R3) complex explaining confusing experiments
Hao, et al. Communications Chemistry, 2024, 7(236)- Publication
- Oct 16, 2024
A machine learning approach for in silico prediction of the photovoltaic properties of perovskite solar cells based on dopant-free hole-transport materials
Abdellah, et al. New Journal of Chemistry, 2024, 44- Publication
- Oct 2, 2024
Development of Glecaprevir: Conformations, Crystal Structures, and Efficient Solid–Solid Conversion for a Highly Polymorphic Macrocyclic Drug
Chen, et al. Crystal Growth & Design, 2024, 24(2), 8270-8284- Publication
- Oct 2, 2024
Predicting the Release Mechanism of Amorphous Solid Dispersions: A Combination of Thermodynamic Modeling and In Silico Molecular Simulation
Walter, et al. Pharmaceutics, 2024, 16(10), 1292Case Studies
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Efficient long-range machine learning force fields for liquid and materials properties
Weber JL, et al. arXiv, 2025, Preprint- Publication
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Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
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A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
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Perform geometry optimizations on simple organic molecules and learn basics regarding functionals and basis sets.
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Modelling amorphous solid dispersion (ASD) release mechanisms
In this webinar, AbbVie and Schrödinger will present the results of a study using a combination of Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) thermodynamic modeling and molecular simulation to investigate the release mechanism and the occurrence LoR of an ASD formulation.
- Jun 17, 2025
Accelerating chemical innovation with AI/ML: Breakthroughs across materials applications
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