ACS Omega | Ahead of Print
Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients in industrial crystallization | SpringerLink
ACS Omega
PDF) Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction
ACS Applied Nano Materials
ACS Omega Template - American Chemical Society
Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines | ACS Omega
ACS Omega
Intermolecular Packing Effects on Singlet Fission in Oligorylene Dimers | ACS Omega
Biomolecules | Free Full-Text | Deep Learning for Novel Antimicrobial Peptide Design | HTML
Prediction of functional properties of nano $$\hbox {TiO}_2$$ TiO 2 coated cotton composites by artificial neural network | Scientific Reports
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Critical assessment of protein intrinsic disorder prediction | Nature Methods
ACS Omega - ACS Open Science
Theoretical Prediction of the Occurrence of Gas Hydrate Stability Zones: A Case Study of the Mohe Basin, Northeast China,ACS Omega - X-MOL
Collaborative Approach between Explainable Artificial Intelligence and Simplified Chemical Interactions to Explore Active Ligands for Cyclin-Dependent Kinase 2 | ACS Omega
Effect of Various Isolated Microbial Consortiums on the Biodegradation Process of Precipitated Asphaltenes from Crude Oil | ACS Omega
Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation | Communications Chemistry
ACS Omega
Frontiers | Cancer-Associated circRNA–miRNA–mRNA Regulatory Networks: A Meta-Analysis | Molecular Biosciences
ACS Omega
Prediction of pharmacological activities from chemical structures with graph convolutional neural networks | Scientific Reports
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