Results 21 to 30 of about 18,983,868 (378)
Unified machine learning protocol for copolymer structure-property predictions
STAR Protocols, 2022 Summary: Structure-property relationships are extremely valuable when predicting the properties of polymers. This protocol demonstrates a step-by-step approach, based on multiple machine learning (ML) architectures, which is capable of processing ...
Lei Tao +4 more
doaj +1 more source
STAR Protocols, 2023 Summary: Traditional techniques for pollutant removal (e.g., static absorption and membrane nanofiltration) are either time consuming or energy intensive with limited permeances.
Yu Wang +4 more
doaj +1 more source
STAR Protocols, 2022 Summary: Atmospheric water harvesting (AWH) offers a solution for efficiently extracting water from the air. In this protocol, we detail the steps to develop a composite sorbent loaded with hygroscopic salts and lithium chloride (LiCl) and based on ...
Chunfeng Li +4 more
doaj +1 more source
Machine learning and the physical sciences [PDF]
Reviews of Modern Physics, 2019 Machine learning (ML) encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks, which has entered most scientific disciplines in recent years. This article reviews in a selective way the recent research on
Giuseppe Carleo +7 more
semanticscholar +1 more source
Protocol for ambient CO2 capture and conversion into HCOOH and NH4H2PO4
STAR Protocols, 2023 Summary: CO2 capture and utilization into liquid fuels and high-added-value chemicals has been regarded as an attractive strategy to mitigate excessive carbon emissions. Here, we present a protocol to capture and convert CO2 into pure formic acid (HCOOH)
Shuchao Jiang +3 more
doaj +1 more source
STAR Protocols, 2022 Summary: Unraveling the morphological complexity of two-dimensional macromolecules allows researchers to design and fabricate high-performance, multifunctional materials.
Yingjie Zhao, Zhiping Xu
doaj +1 more source
SEM-Based Automated Mineralogy and Its Application in Geo- and Material Sciences
, 2020 Scanning electron microscopy based automated mineralogy (SEM-AM) is a combined analytical tool initially designed for the characterisation of ores and mineral processing products.
B. Schulz +2 more
semanticscholar +1 more source
Chemistry, 2019 Nonconjugated hydrocarbons, like bicyclo[1.1.1]pentane, bicyclo[2.2.2]octane, triptycene, and cubane are a unique class of rigid linkers. Due to their similarity in size and shape they are useful mimics of classic benzene moieties in drugs, so-called ...
Gemma M Locke, S. Bernhard, M. Senge
semanticscholar +1 more source
Recreating mineralogical petrographic heterogeneity within microfluidic chips : assembly, examples, and applications [PDF]
, 2016 This material includes work supported by Royal Society Research Grant RG140009. BA was supported by a Society of Petrophysics and Well Log Analysts (SPWLA) grant and an Aberdeen Formation Evaluation Society (AFES) bursary.
Akamairo, Blessing +3 more
core +1 more source
Protocol to predict mechanical properties of multi-element ceramics using machine learning
STAR Protocols, 2022 Summary: Identifying and designing high-performance multi-element ceramics based on trial-and-error approaches are ineffective and expensive. Here, we present a machine-learning-accelerated method for prediction of mechanical properties of multi-element ...
Yunqing Tang +3 more
doaj +1 more source