Data-driven machine learning models for predicting engineering properties in deep-sea sediments

Nature·Nov 21

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1

Data-Driven Prediction of Block Copolymer Morphology Using Coarse-Grained Modeling and Machine Learning

Wiley Online Library·May 4

2

Machine learning–driven prediction of mechanical properties of lightweight concrete based on experimental data

Nature·Jun 3

3

Data-driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

Wiley Online Library·Feb 17

4

Data-driven modeling for bond strength in reinforced concrete structures

Nature·Apr 10

5

Experimental assessment with data-driven machine learning-based prediction of compressive strength of waste natural fiber-reinforced sustainable concrete

Nature·Dec 16

6

Toward accurate machine learning-driven prediction of polymeric composites properties based on experimental data

Wiley Online Library·Aug 4

7

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete

Nature·May 7

8

An integrated physics-guided machine learning approach for predicting asphalt concrete fracture parameters

Nature·Mar 2