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
Enhancing Internal Limiting Membrane Inverted Flap Outcomes With Amniotic Solution for Chronic and Large Macular Holes. [PDF]
Caporossi T +5 more
europepmc +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
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
Low-Temperature Performance Enhancement of Warm Mix Asphalt Binders Using SBS and Sasobit: Towards Durable and Green Pavements. [PDF]
Feng X +5 more
europepmc +1 more source
Struvite precipitation from source-separated human urine: mineralogical characterization, phosphorus release kinetics, and heavy metal safety assessment. [PDF]
Gonçalves RF +4 more
europepmc +1 more source
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
Discovery of novel disulfide-containing PD-1/PD-L1 inhibitor with in vivo influenza therapeutic efficacy. [PDF]
Hirata Y +5 more
europepmc +1 more source
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
Comparative Analysis of Selective Mining and XRT Sensor-Based Sorting for Copper Ore Pre-Concentration: Preliminary Studies Assessing Method Potential. [PDF]
Progorowicz J +4 more
europepmc +1 more source

