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Jun 24, 2022 | Industry News
VTT is coordinating a two-year research project involving the University of Jyväskylä, Neste and seven Finnish SMEs, jointly addressing some of the bottlenecks in large-scale algal cultivation...
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Apr 8, 2022 | Industry News
MIT Researchers have developed efficient machine-learning method which uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers...
Apr 1, 2022 | Industry News
Scientists use non-destructive spectroscopic analysis combined with machine learning to obtain rapid information on the identity and content of plasticizers in PVC objects of heritage value...
Feb 23, 2022 | Industry News
Researchers from Graphene Flagship partner RWTH Aachen University and the Graphene Flagship Standardization Committee have pushed through a new IEC standard for assessing the strain uniformity of...
Feb 10, 2022 | Industry News
Rice University scientists are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating...
Sep 8, 2021 | Industry News
A team of researchers has developed a powerful mathematical modeling tool that will allow researchers to predict the properties of polymer networks before they are even created. This new model...
Aug 26, 2021 | Industry News
Researchers at the University of Michigan have used machine learning to predict how the compositions of metal alloys and metal oxides affect their electronic structures to understand how the...
Jul 9, 2021 | Industry News
Scientists used quantum chemical simulations run on supercomputers to predict a new catalyst architecture as well as its interactions with certain chemicals, and demonstrated in practice its ability...
Mar 3, 2021 | Article
By SpecialChem
On the occasion of his 70th birthday, we are thrilled to interview Professor Steven Abbott to learn more about his success story to practical formulation science and how science-based tools simplify...
Nov 30, 2020 | Article
By Bernard Hasson
Explore the different applications of Hansen Solubility Parameters (HSP), its anticipated impact, adoption rate and the data availability across different formulation domains...