What is he best known for?
The fields of study he is best known for:
- Statistics
- Organic chemistry
- Artificial intelligence
His main research concerns Mathematical optimization, Enzymatic hydrolysis, Organic chemistry, Hydrolysis and Cellulase.
His research integrates issues of Markov decision process and Renewable energy in his study of Mathematical optimization.
In his study, Supply chain is strongly linked to Optimal design, which falls under the umbrella field of Renewable energy.
His research investigates the connection between Supply chain and topics such as Environmental economics that intersect with issues in Operations research and Reverse logistics.
Matthew J. Realff interconnects Cellulose, Cellulosic ethanol, Crystallinity and Trichoderma reesei in the investigation of issues within Enzymatic hydrolysis.
His Organic chemistry study frequently links to other fields, such as Biomass.
His most cited work include:
- Cellulose crystallinity--a key predictor of the enzymatic hydrolysis rate (395 citations)
- Modeling cellulase kinetics on lignocellulosic substrates. (321 citations)
- Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty (264 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Mathematical optimization, Adsorption, Process engineering, Waste management and Supply chain.
His Mathematical optimization research incorporates themes from Algorithm and Markov decision process.
Matthew J. Realff combines subjects such as Fiber and Chemical engineering with his study of Adsorption.
He combines topics linked to Process design with his work on Process engineering.
His study brings together the fields of Combustion and Waste management.
As a part of the same scientific study, Matthew J. Realff usually deals with the Supply chain, concentrating on Operations research and frequently concerns with Reverse logistics.
He most often published in these fields:
- Mathematical optimization (22.56%)
- Adsorption (10.77%)
- Process engineering (10.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Adsorption (10.77%)
- Chemical engineering (7.18%)
- Process engineering (10.26%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Adsorption, Chemical engineering, Process engineering, Solvent and Advanced manufacturing.
In general Adsorption, his work in Sorbent is often linked to Air capture linking many areas of study.
While the research belongs to areas of Chemical engineering, he spends his time largely on the problem of Metal-organic framework, intersecting his research to questions surrounding Bimetallic strip, Olefin fiber, Metal and Ethylene.
He focuses mostly in the field of Process engineering, narrowing it down to matters related to Process design and, in some cases, Separation, Diffusion, Adsorption kinetics, Chemical physics and Lignocellulosic biomass.
His work deals with themes such as Raw material, Dissolution, Distillation, Lignin and Fraction, which intersect with Solvent.
His Lignin study is related to the wider topic of Organic chemistry.
Between 2018 and 2021, his most popular works were:
- Prospects and Challenges for Solar Fertilizers (18 citations)
- Moving Beyond Adsorption Capacity in Design of Adsorbents for CO2 Capture from Ultradilute Feeds: Kinetics of CO2 Adsorption in Materials with Stepped Isotherms (13 citations)
- Managing uncertainty in data-driven simulation-based optimization (12 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Organic chemistry
- Artificial intelligence
His primary areas of study are Adsorption, Process engineering, Air capture, Mathematical optimization and Solvent.
The various areas that Matthew J. Realff examines in his Adsorption study include Process modeling, Selection and Biochemical engineering.
Matthew J. Realff has researched Process engineering in several fields, including Techno economic, Fermentation, Bioconversion and 1,4-Butanediol.
His Mathematical optimization study frequently intersects with other fields, such as Data-driven.
His studies in Solvent integrate themes in fields like Process design, Renewable resource and Biomass, Lignocellulosic biomass, Lignin.
His Lignin research includes elements of Tetrahydrofuran, Raw material, Cellulose fiber, Pulp and Hildebrand solubility parameter.
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