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ChemFM as a scaling law guided foundation model pre-trained on informative chemicals. [PDF]
Cai F +8 more
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Predicting the Stability of Base-mediated C─H Carboxylation Adducts Using Data Science Tools. [PDF]
Eckhoff M +6 more
europepmc +1 more source
Metabolite profiling and evaluation of antioxidant, antidiabetic, and antibacterial potential of Thymus linearis Benth. supported by molecular docking and PASS prediction. [PDF]
Joshi M +8 more
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Mechanism-Aware Deep Learning for Polar Reaction Prediction. [PDF]
Miller RJ +4 more
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Day 2 Tue, November 01, 2022, 2022
Chemical enhanced oil recovery involves enormous combinations of chemicals, surfactants, etc. The reservoir properties such as temperature, capillary pressure, permeability keeps changing, making the process of identification of suitable chemicals even
Ashutosh Kumar, R. Rajendran
semanticscholar +1 more source
Chemical enhanced oil recovery involves enormous combinations of chemicals, surfactants, etc. The reservoir properties such as temperature, capillary pressure, permeability keeps changing, making the process of identification of suitable chemicals even
Ashutosh Kumar, R. Rajendran
semanticscholar +1 more source
Advancing molecular graphs with descriptors for the prediction of chemical reaction yields
Journal of Computational Chemistry, 2022Chemical yield is the percentage of the reactants converted to the desired products. Chemists use predictive algorithms to select high‐yielding reactions and score synthesis routes, saving time and reagents.
Dzvenymyra Yarish +5 more
semanticscholar +1 more source
When Yield Prediction Does Not Yield Prediction: An Overview of the Current Challenges
Journal of Chemical Information and Modeling, 2023Machine Learning (ML) techniques face significant challenges when predicting advanced chemical properties, such as yield, feasibility of chemical synthesis, and optimal reaction conditions.
Varvara Voinarovska +4 more
semanticscholar +1 more source

