Results 161 to 170 of about 14,376 (260)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

Hierarchical Complementary Enhanced Autoencoder Integrating Spatio‐Temporal Interaction Feature for Soft Sensor

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley   +1 more source

Magnetic Pinecone Biochar‐Activated Peroxymonosulfate for Efficient Sulfamethoxazole Degradation: Performance, Mechanism, and Toxicity Analysis

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study successfully prepared magnetic iron/cobalt codoped biochar catalyst (CFSBC) using a one‐step calcination method. The morphology and structure of the material were systematically characterized using SEM, XRD, FTIR, TEM, BET, Raman, VSM, and XPS techniques. The effects of key parameters such as catalyst dosage, peroxymonosulfate (PMS)
Jianhua Ni   +3 more
wiley   +1 more source

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