AIMC Topic: Chemical Engineering

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Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics.

Food research international (Ottawa, Ont.) Sep 17, 2024
This state-of-the-art review comprehensively explores flavor development, spanning biological foundations, analytical methodologies, and the socio-cultural impact. It incorporates an industrial perspective and examines the role of artificial intellig...
Food Industry Food Technology Taste Chemical Engineering Industrial Development Taste Perception Flavoring Agents Artificial Intelligence Humans
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Data Science in Chemical Engineering: Applications to Molecular Science.

Annual review of chemical and biomolecular engineering Mar 12, 2021
Chemical engineering is being rapidly transformed by the tools of data science. On the horizon, artificial intelligence (AI) applications will impact a huge swath of our work, ranging from the discovery and design of new molecules to operations and m...
Chemical Engineering Data Science Machine Learning Artificial Intelligence
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Reconfigurable microbots folded from simple colloidal chains.

Proceedings of the National Academy of Sciences of the United States of America Jul 17, 2020
To overcome the reversible nature of low-Reynolds-number flow, a variety of biomimetic microrobotic propulsion schemes and devices capable of rapid transport have been developed. However, these approaches have been typically optimized for a specific ...
Magnetics Chemical Engineering Colloids Robotics
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Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2020
In this work, a novel data-driven fault diagnostic framework is developed by using hybrid multi-mode machine learning strategies to monitor system health status. The coexistence of multi-mode and concurrent faults and their adverse coupling effects p...
Neural Networks, Computer Machine Learning Humans Aircraft Chemical Engineering Models, Theoretical Algorithms Fuel Oils
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Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields.

Journal of chemical information and modeling Sep 27, 2019
We present a machine learning approach to automated force field development in dissipative particle dynamics (DPD). The approach employs Bayesian optimization to parametrize a DPD force field against experimentally determined partition coefficients. ...
Chemical Engineering Algorithms Thermodynamics Machine Learning Molecular Dynamics Simulation Bayes Theorem
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Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana.

Journal of visualized experiments : JoVE Apr 30, 2018
Chemical genetics is increasingly being employed to decode traits in plants that may be recalcitrant to traditional genetics due to gene redundancy or lethality. However, the probability of a synthetic small molecule being bioactive is low; therefore...
Arabidopsis Chemical Engineering Robotics
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The Engineering of Chemical Synthesis: Humans and Machines Working in Harmony.

Angewandte Chemie (International ed. in English) Mar 30, 2018
"Chemical synthesis has previously tended to rely heavily on robust labour-intensive processes. We have been advocating a machine-assisted approach to synthesis for many years. To replace a bench chemist with a machine is not only unrealistic but imp...
Software Chemical Engineering Equipment Design Humans Machine Learning
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Droplets As Liquid Robots.

Artificial life Oct 6, 2017
Liquid droplets are very simple objects present in our everyday life. They are extremely important for many natural phenomena as well as for a broad variety of industrial processes. The conventional research areas in which the droplets are studied in...
Wettability Microtechnology Chemistry, Physical Nanotechnology Robotics Movement Chemical Engineering Hydrodynamics Materials Science
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The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing.

Journal of biomedical semantics Jun 1, 2016
BACKGROUND: The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its d...
Chemical Engineering Conservation of Natural Resources Internet Knowledge Bases Semantics
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