Nanning Jaeschke and colleagues from TUHH and Rice University assess PC-SAFT parametrisations and network models for the equilibrium swelling of pNIPAM lyogels in multicomponent solvents, in Industrial & Engineering Chemistry Research.
Nanning Jaeschke and colleagues from TUHH and Rice University develop a numerically robust framework for gel phase equilibria that combines PC-SAFT with polymer-network elasticity, in Industrial & Engineering Chemistry Research.
Tom Liebing and colleagues from TUHH present a fully embedded, low-cost electrical impedance tomography platform for the in situ monitoring of reactive media in laboratory-scale reactors, in Industrial & Engineering Chemistry Research.
Fabian Riebesehl and colleagues from TUHH, the University of Hamburg and Fraunhofer IAPT grow carbon nanotube forests on printed substrates and show how the permeability of the substrate shapes the coating, in Industrial & Engineering Chemistry Research.
Vivien Jesenofsky and colleagues from TUHH show that limiting oxygen availability redirects electron flow in Cupriavidus necator, enabling growth-decoupled biotransformations with up to 93 percent molar conversion, in Bioresource Technology.
Johannes Gmeiner and colleagues from the University of Hamburg and TUHH prepare chemoresponsive organogel beads by UV droplet polymerisation and study how quickly they swell and shrink when the solvent changes, in Macromolecules.
As part of our CRC seminar series, Professor Takors gave an inspiring lecture on "Utilizing CO and CO2 containing off-gas in gas fermentation: Scaling from lab to production scale – and back".
Dominique Lumpp and colleagues from the University of Hamburg and the TU Hamburg show how the carbon support and preparation route steer the performance of bimetallic Ru-Cu catalysts for converting glycerol into 1,2-propanediol, in ChemistryOpen.
Srimanta Santra and colleagues from TUHH control the pH value of an enzymatic reaction with carbon dioxide instead of buffer salts, using a predictive controller that accounts for uncertain parameters, in Industrial & Engineering Chemistry Research.
Hossein Ostovar and colleagues from TUHH introduce a physics-aware machine learning framework that decodes electrochemical impedance spectroscopy measurements and reduces data acquisition from minutes to under six seconds, in Industrial & Engineering Chemistry Research.
