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Machine Learning Approach to Predict the Surface Charge Density of Monodispersed Particles in Gas–Solid Fluidized Beds | ACS Omega

Machine Learning Approach to Predict the Surface Charge Density of Monodispersed Particles in Gas–Solid Fluidized Beds | ACS Omega

ACS Applied Nano Materials

ACS Applied Nano Materials

Critical assessment of protein intrinsic disorder prediction | Nature Methods

Critical assessment of protein intrinsic disorder prediction | Nature Methods

文献高级检索结果

文献高级检索结果

Effect of Various Isolated Microbial Consortiums on the Biodegradation Process of Precipitated Asphaltenes from Crude Oil | ACS Omega

Effect of Various Isolated Microbial Consortiums on the Biodegradation Process of Precipitated Asphaltenes from Crude Oil | ACS Omega

ACS Omega

ACS Omega

Frontiers | Cascade Deep Forest With Heterogeneous Similarity Measures for Drug–Target Interaction Prediction | Genetics

Frontiers | Cascade Deep Forest With Heterogeneous Similarity Measures for Drug–Target Interaction Prediction | Genetics

ACS Omega

ACS Omega

Frontiers | SE-OnionNet: A Convolution Neural Network for Protein–Ligand Binding Affinity Prediction | Genetics

Frontiers | SE-OnionNet: A Convolution Neural Network for Protein–Ligand Binding Affinity Prediction | Genetics

ACS Omega | Ahead of Print

ACS Omega | Ahead of Print

ACS Omega | Vol 7, No 6

ACS Omega | Vol 7, No 6

ACS Omega

ACS Omega

Intermolecular Packing Effects on Singlet Fission in Oligorylene Dimers | 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

Biomolecules | Free Full-Text | Deep Learning for Novel Antimicrobial Peptide Design | HTML

PDF) Reservoir Production Prediction Model Based on a Stacked LSTM Network and Transfer Learning

PDF) Reservoir Production Prediction Model Based on a Stacked LSTM Network and Transfer Learning

ACS Omega

ACS Omega

Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation | Communications Chemistry

Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation | Communications Chemistry

PDF) Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees

PDF) Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees

Predicting Power Conversion Efficiency of Organic Photovoltaics: Models and Data Analysis | ACS Omega

Predicting Power Conversion Efficiency of Organic Photovoltaics: Models and Data Analysis | ACS Omega

ACS Omega Template - American Chemical Society

ACS Omega Template - American Chemical Society

PDF) Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction

PDF) Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction

Frontiers | Cancer-Associated circRNA–miRNA–mRNA Regulatory Networks: A Meta-Analysis | Molecular Biosciences

Frontiers | Cancer-Associated circRNA–miRNA–mRNA Regulatory Networks: A Meta-Analysis | Molecular Biosciences

ACS Omega - ACS Open Science

ACS Omega - ACS Open Science

文献高级检索结果

文献高级检索结果

Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines | ACS Omega

Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines | ACS Omega

Collaborative Approach between Explainable Artificial Intelligence and Simplified Chemical Interactions to Explore Active Ligands for Cyclin-Dependent Kinase 2 | ACS Omega

Collaborative Approach between Explainable Artificial Intelligence and Simplified Chemical Interactions to Explore Active Ligands for Cyclin-Dependent Kinase 2 | ACS Omega

Theoretical Prediction of the Occurrence of Gas Hydrate Stability Zones: A Case Study of the Mohe Basin, Northeast China,ACS Omega - X-MOL

Theoretical Prediction of the Occurrence of Gas Hydrate Stability Zones: A Case Study of the Mohe Basin, Northeast China,ACS Omega - X-MOL

ACS Omega

ACS Omega

Prediction of pharmacological activities from chemical structures with graph convolutional neural networks | Scientific Reports

Prediction of pharmacological activities from chemical structures with graph convolutional neural networks | Scientific Reports