Fast Mobility Research Articles

Structurally Nontraditional Benzo[c]cinnoline-Based Electron-Transporting Materials with 3D Molecular Interaction Architecture.

The academically widely used electron-transporting materials (ETMs) typically suffer from low glass transition temperatures (Tg ) that could lead to poor device stability. Considering practical applications, we herein put forward a "3D molecular interaction architecture" strategy to design high-performance ETMs. As a proof-of-concept, a type of structurally nontraditional ETMs with the benzo[c]cinnoline (BZC) skeleton have been proposed and synthesized by the C-H/C-H homo-coupling of N-acylaniline as the key step. 2,9-diphenylbenzo[c]cinnoline (DPBZC) exhibits strong intermolecular interactions that feature a 3D architecture, which boosts Tg to exceedingly high 218 °C with a fast electron mobility (μe ) of 6.4×10-4 cm2 V-1 s-1 . DPBZC-based fluorescent organic light-emitting diodes show outstanding electroluminescent performances with an external quantum efficiency of 20.1 % and a power efficiency as high as 70.6 lm W-1 , which are superior to those of the devices with the commonly used ETMs.

Structurally Nontraditional Benzo[c]cinnoline‐Based Electron‐Transporting Materials with 3D Molecular Interaction Architecture

AbstractThe academically widely used electron‐transporting materials (ETMs) typically suffer from low glass transition temperatures (Tg) that could lead to poor device stability. Considering practical applications, we herein put forward a “3D molecular interaction architecture” strategy to design high‐performance ETMs. As a proof‐of‐concept, a type of structurally nontraditional ETMs with the benzo[c]cinnoline (BZC) skeleton have been proposed and synthesized by the C−H/C−H homo‐coupling of N‐acylaniline as the key step. 2,9‐diphenylbenzo[c]cinnoline (DPBZC) exhibits strong intermolecular interactions that feature a 3D architecture, which boosts Tg to exceedingly high 218 °C with a fast electron mobility (μe) of 6.4×10−4 cm2 V−1 s−1. DPBZC‐based fluorescent organic light‐emitting diodes show outstanding electroluminescent performances with an external quantum efficiency of 20.1 % and a power efficiency as high as 70.6 lm W−1, which are superior to those of the devices with the commonly used ETMs.

Regulated and unregulated emissions and exhaust flow measurement of four in-use high performance motorcycles

Exhaust emissions from four larger motorcycles, 599–1078 cm 3 engine displacement, 2008 to 2015 model years, were measured on a chassis dynamometer using cold and hot engine start World Motorcycle Transient Cycle. Raw exhaust gas was sampled and analyzed online by a portable FTIR analyzer, providing mid-infrared spectra which was resolved for greenhouse gases CO 2 , methane and N 2 O, and for NO, NO 2 , NH 3 , CO and formaldehyde. Total number of non-volatile particles was measured by a portable counter. Particle size distributions were measured by fast electric mobility sizers, each with a different diluter. As a novel approach, useful for on-road measurements, exhaust flow was measured using a high time resolution Pitot tube, resolving rapid pulsations and reverse flows in the exhaust pipe which were often of higher magnitude than the average flow. The fuel consumption inferred from carbon emissions calculated from measured exhaust flow and the exhaust gas composition measured by the portable FTIR was, for all bikes, within 6% of the gravimetric fuel consumption measurement. The CO 2 , CO and NO emissions based on diluted exhaust gas sampled from a full-flow dilution tunnel were comparable to those based on raw exhaust gas composition and exhaust flow measured by the fast-response Pitot tube. Emissions of NH 3 were 27–273 mg/km and were associated primarily with fuel-rich operation during transients, while emissions of NO were 30–509 mg/km were associated with slightly lean operation and/or high exhaust flows, suggesting the three-way catalytic converters were perhaps undersized, but generally working, and the emissions of NO and NH 3 are attributed primarily to non-stoichiometric operation, primarily during transients. Methane and N 2 O constituted about 1% of the global warming potential of CO 2 . The average number of non-volatile particles per km varied from 26 to 270 billion (2.6–27 × 10 11 ). From all particles within the 5–560 nm range, 29–75% were smaller than 23 nm. Particle sizers were reporting higher concentrations of nanoparticles when connected to a heated two-stage ejector diluter compared to a rotating disc diluter. • CO 2 , CH 4 , N 2 O, NO, NO 2 , NH 3 , formaldehyde measured with portable FTIR, WMTC cycle. • Exhaust flow measured with high resolution Pitot tube capable of on-road use. • Total carbon emissions within 6% (avg 3%) of direct measurement of fuel flow. • NO 30–509 mg/km, NH 3 27–273 mg/km, high share of non-stoichiometric transients. • 26–270 billion non-volatile particles/km; 29–75% of all 5–560 nm particles <23 nm.

Lithium superionic conductors with corner-sharing frameworks.

Superionic lithium conductivity has only been discovered in a few classes of materials, mostly found in thiophosphates and rarely in oxides. Herein, we reveal that corner-sharing connectivity of the oxide crystal structure framework promotes superionic conductivity, which we rationalize from the distorted lithium environment and reduced interaction between lithium and non-lithium cations. By performing a high-throughput search for materials with this feature, we discover ten new oxide frameworks predicted to exhibit superionic conductivity-from which we experimentally demonstrate LiGa(SeO3)2 with a bulk ionic conductivity of 0.11 mS cm-1 and an activation energy of 0.17 eV. Our findings provide insight into the factors that govern fast lithium mobility in oxide materials and will accelerate the development of new oxide electrolytes for all-solid-state batteries.

Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon

Autonomous electric vehicles promise to improve traffic safety, increase fuel efficiency and reduce congestion in future intelligent transportation systems. Ecological driving characteristics are first studied to concentrate on energy consumption, the ability to quickly pass its destination, etc. of autonomous electric vehicle plans (AEVPs) to maximize total energy efficiency benefits. To realize this goal, an optimal control model is developed to provide ecological driving suggestions to AEVPs. The Radau pseudospectral method (RPM) is adopted to put the optimal control model into nonlinear programs (NLP), and multiobjective optimization, including safety, economy and fast mobility, is considered, which conditions and constraints such as vehicle dynamics, traffic rules, and energy consumption. To enhance optimal model applicability, two ecological driving procedures are proposed. One procedure is that two-phase trajectory optimization and ecological driving states, such as velocity and acceleration, for the leading vehicle are developed according to RPM characteristics, while the other provides a set of targeted driving states to the following vehicles. The objective of the procedure is to minimize the total energy consumption of AEVPs, while travel comfort and safety are integrated into the schematization by optimization functions. Numerical experiments illustrate significance when ecological driving strategy for AEVPs considers energy consumption characteristics, thereby ensuring total energy consumption efficiency for AEVPs.

Secondary organic aerosol formation from photooxidation of γ-butyro and γ-valero-lactone: A combined experimental and theoretical study

The formation of secondary organic aerosol (SOA) generated by OH-photooxidation of γ-butyrolactone (GBL) and γ-valerolactone (GVL) in the presence of OH, NO, H2O vapour and aerosol seeds ((NH4)2SO4 and CaCl2) has been investigated for the first time. Experiments were conducted in a smog chamber at 298 K and atmospheric pressure. Lactone's decay was followed by gas chromatography with a mass spectrometric detector (GC-MS), and the temporal evolution of the SOA was monitored using a fast mobility particle sizer (FMPS). The SOA yield increases slightly when the initial GVL concentration increases. On the other hand, SOA formation is minor for GBL, and it rises slightly at low concentrations. In the case of GVL, the organic aerosol formation can be tentatively expressed by a one-product gas/particle partitioning absorption model. The particle number concentration, mass and yield decrease in the presence of NO but increase at higher relative humidity (RH) and seed surface area within the studied range. Acetic acid and succinic anhydride for GVL, and succinic anhydride for GBL were experimentally identified as oxidation products both in gas and particle phase using thermal desorption followed by GC-MS. Moreover, the theoretical studies carried out to complement the experimental results indicate that H-abstraction at the carbon site adjacent to the heterocyclic oxygen is the predominant pathway, being even more favourable when H2O was added. Also, under atmospheric conditions, the opening of the ring of the corresponding oxy-radicals and their subsequent fragmentation could be the possible explanation for the formation of detected products and the higher yield of SOA in the presence of H2O and absence of NO. Considering these results, the formation of SOA from the use of both lactones as potential biofuels is few significative, although SOA generation may be enhancement by particle-phase heterogeneous reactions catalyzed by humidity and the acidity of seed aerosols present in real atmosphere.

Influence of E-Liquid Humectants, Nicotine, and Flavorings on Aerosol Particle Size Distribution and Implications for Modeling Respiratory Deposition.

Electronic cigarette, or vaping, products are used to heat an e-liquid to form an aerosol (liquid droplets suspended in gas) that the user inhales; a portion of this aerosol deposits in their respiratory tract and the remainder is exhaled, thereby potentially creating opportunity for secondhand exposure to bystanders (e.g., in homes, automobiles, and workplaces). Particle size, a critical factor in respiratory deposition (and therefore potential for secondhand exposure), could be influenced by e-liquid composition. Hence, the purposes of this study were to (1) test the influence of laboratory-prepared e-liquid composition [ratio of propylene glycol (PG) to vegetable glycerin (VG) humectants, nicotine, and flavorings] on particle size distribution and (2) model respiratory dosimetry. All e-liquids were aerosolized using a second-generation reference e-cigarette. We measured particle size distribution based on mass using a low-flow cascade impactor (LFCI) and size distribution based on number using real-time mobility sizers. Mass median aerodynamic diameters (MMADs) of aerosol from e-liquids that contained only humectants were significantly larger compared with e-liquids that contained flavorings or nicotine (p = 0.005). Humectant ratio significantly influenced MMADs; all aerosols from e-liquids prepared with 70:30 PG:VG were significantly larger compared with e-liquids prepared with 30:70 PG:VG (p = 0.017). In contrast to the LFCI approach, the high dilution and sampling flow rate of a fast mobility particle sizer strongly influenced particle size measurements (i.e., all calculated MMAD values were < 75 nm). Dosimetry modeling using LFCI data indicated that a portion of inhaled particles will deposit throughout the respiratory tract, though statistical differences in aerosol MMADs among e-liquid formulations did not translate into large differences in deposition estimates. A portion of inhaled aerosol will be exhaled and could be a source for secondhand exposure. Use of laboratory-prepared e-liquids and a reference e-cigarette to standardize aerosol generation and a LFCI to measure particle size distribution without dilution represents an improved method to characterize physical properties of volatile aerosol particles and permitted determination of MMAD values more representative of e-cigarette aerosol in situ, which in turn, can help to improve dose modeling for users and bystanders.

Recent Progress on the Performance of Lead‐Based Halide Perovskite APbX3 Detectors

Lead‐based halide perovskites APbX3 are likely to become competitive candidates in applications of photodetectors and X/γ‐ray detectors owing to their excellent optical and electrical characteristics, such as high and balanced carrier mobility, long carrier diffusion length, and adjustable bandgap. Based on this system, the article summarizes the performance parameters, such as responsivity, detectivity, external quantum efficiency, and response time of photodetector, and generalizes the research status of its application in near‐infrared light, visible light, and ultraviolet light photodetectors. In addition to that, it also summarizes the recent progress of X/γ‐ray detectors. What is more, the influence of radii of A‐site cations on the photoelectric performance are discussed. Finally, based on these summary and discussion, a research trend could be raised that more and more researchers tend to fabricate APbX3 perovskite with single‐crystalline thin‐film for high‐performance photodetectors in the future. It is proposed that if the A‐site ion is an organic group with a larger radius than the formamidinium (FA+), it may have better photoelectric properties than FAPbX3. Inorganic lead‐based perovskite single crystals with few defects, fast carrier mobility, and good stability are beneficial for attaining low dose rate and high‐energy resolution X/γ‐ray detectors.

Handover Management in 5G Vehicular Networks

Fifth-Generation (5G) vehicular networks support novel services with increased Quality of Service (QoS) requirements. Vehicular users need to be continuously connected to networks that fulfil the constraints of their services. Thus, the implementation of optimal Handover (HO) mechanisms for 5G vehicular architectures is deemed necessary. This work describes a scheme for performing HOs in 5G vehicular networks using the functionalities of the Media-Independent Handover (MIH) and Fast Proxy Mobile IPv6 (FPMIP) standards. The scheme supports both predictive and reactive HO scenarios. A velocity and alternative network monitoring process prepares each vehicle for both HO cases. In the case of predictive HO, each time the satisfaction grade of the vehicular user drops below a predefined threshold, the HO is initiated. On the other hand, in the case of reactive HO, the vehicle loses the connectivity with its serving network and connects to the available network that has obtained the higher ranking from the network selection process. Furthermore, the HO implementation is based on an improved version of the FPMIPv6 protocol. For the evaluation of the described methodology, a 5G vehicular network architecture was simulated. In this architecture, multiple network access technologies coexist, while the experimental results showed that the proposed scheme outperformed existing HO methods.

Fast Room-Temperature Mg2+ Conductivity in Mg(BH4)2·1.6NH3-Al2O3 Nanocomposites.

Design of new functional materials with fast Mg-ion mobility is crucial for the development of competitive solid-state magnesium batteries. Herein, we present new nanocomposites, Mg(BH4)2·1.6NH3-Al2O3, reaching a high magnesium conductivity of σ(Mg2+) = 2.5 × 10-5 S cm-1 at 22 °C assigned to favorable interfaces between amorphous state Mg(BH4)2·1.6NH3; inert and insulating Al2O3 nanoparticles; and a minor fraction of crystalline material, mainly Mg(BH4)2·2NH3. Furthermore, quasi-elastic neutron scattering reveals that the Mg2+-ion mobility in the solid state appears to be correlated to relatively slow motion of NH3 molecules rather than the fast dynamics of BH4- complexes. The nanocomposite is compatible with a metallic Mg anode and shows stable Mg2+ stripping/plating in a symmetric cell and an electrochemical stability of ∼1.2 V. The nanocomposite has high mechanical stability and ductility and is a promising Mg2+ electrolyte for future solid-state magnesium batteries.

Return To Elite-Level Sport After Midshaft Clavicle Fractures In High-Level Cyclists

The primary objective of this monocentric prospective study is to measure the time to return to sports and the functional outcome measures after osteosynthesis of midshaft clavicle fractures for professional and high-level recreational cyclists. We hypothesize that a surgical intervention with a rehabilitation protocol focused on fast mobilization results in a return to sports competition within 6 weeks.

Evaluation of the daytime tropospheric loss of 2-methylbutanal

Abstract. Saturated aldehydes, e.g. 2-methylbutanal (2 MB, CH3CH2CH(CH3)C(O)H), are emitted into the atmosphere by several biogenic sources. The first step in the daytime atmospheric degradation of 2 MB involves gas-phase reactions initiated by hydroxyl (OH) radicals, chlorine (Cl) atoms, and/or sunlight. In this work, we report the rate coefficients for the gas-phase reaction of 2 MB with OH (kOH) and Cl (kCl), together with the photolysis rate coefficient (J), in the ultraviolet solar actinic region in Valencia (Spain) at different times of the day. The temperature dependence of kOH was described in the 263–353 K range by the following Arrhenius expression: kOH(T)=(8.88±0.41)×10-12 exp[(331±14)/T] cm3 molec.−1 s−1. At 298 K, the reported kOH and kCl are (2.68±0.07)×10-11 and (2.16±0.32)×10-10 cm3 molec.−1 s−1, respectively. Identification and quantification of the gaseous products of the Cl reaction and those from the photodissociation of 2 MB were carried out in a smog chamber by different techniques (Fourier transform infrared spectroscopy, proton transfer time-of-flight mass spectrometry, and gas chromatography coupled to mass spectrometry). The formation and size distribution of secondary organic aerosols formed in the Cl reaction were monitored by a fast mobility particle sizer spectrometer. A discussion on the relative importance of the first step in the daytime atmospheric degradation of 2 MB is presented together with the impact of the degradation products in marine atmospheres.

Deciphering the origin of riverine phytoplankton using in situ chlorophyll sensors

AbstractRiverine algal groups with distinct life histories can generate unique patterns of structural and functional behavior. As such, novel methods to discriminate between these groups can improve the understanding of river ecosystem processes. We examined benthic vs. planktonic contributions to suspended algal biomass by monitoring suspended chlorophyll concentration and turbidity during 48 storm events at 2 locations with contrasting hydraulic storage associated with low‐head dams. Upstream from the dams, chlorophyll hysteresis showed concentrating effects and counterclockwise rotation, suggesting stormflow concentrated algae from benthic sources. When autotrophic conditions (P/R &gt; 1) preceded storms, chlorophyll hysteresis switched to more proximal benthic sources (faster mobilization). Downstream of the dams, hysteresis showed greater dilution effects and more proximal sources of planktonic algae than at the upstream site, in contrast to high similarly in turbidity hysteresis between sites. Our study supports the analysis of chlorophyll and turbidity hysteresis to infer sources and transport of suspended algal biomass.

Epidemic spreading in populations of mobile agents with adaptive behavioral response

Despite the advanced stage of epidemic modeling, there is a major demand for methods to incorporate behavioral responses to the spread of a disease, such as social distancing and adoption of prevention methods. Mobility plays an important role on epidemic dynamics and is also affected by behavioral changes, but there are many situations in which real mobility data is incomplete or inaccessible. We present a model for epidemic spreading in temporal networks of mobile agents that incorporates local behavioral responses. Susceptible agents are allowed to move towards the opposite direction of infected agents in their neighborhood. We show that this mechanism considerably decreases the stationary prevalence when the spatial density of agents is low. However, for higher densities, the mechanism causes an abrupt phase transition, where a new bistable phase appears. We develop a semi-analytic approach for the case when the mobility is fast compared to the disease dynamics, and use it to argue that the bistability is caused by the emergence of spatial clusters of susceptible agents. Finally, we characterize the temporal networks formed in the fast mobility regime, showing how the degree distributions and other metrics are affected by the behavioral mechanism. Our work incorporates results previously known from adaptive networks into population of mobile agents, which can be further developed to be used in mobility-driven models.

Tuning the optoelectronic properties of indacenodithiophene based derivatives for efficient photovoltaic applications: A DFT approach

In this study, five novel push-pull acceptor molecules with A-B-D-B-A arrangement have been formulated in the quest to boost the organic solar cells (OSCs), with respect to their electrical, optical, and chemical characteristics. Substitution of end-capped acceptor moieties in non-fullerene materials is an effective approach of molecular modeling, which finely tunes the optoelectronic attributes of OSCs. The recently altered molecules (Y1-Y5) were flanked with different electron withdrawing units carrying indacenodithiophene (IDT) as the central electron donating core. The density functional theory (DFT) and time-dependent density functional theory (TD-DFT) analysis were executed at B3LYP functional with 6-31G (d,p) basis set to investigate the geometrical as well as optical parameters such as quantum mechanical descriptors, light harvesting efficiency, ionization potential energy, absorption properties, electron affinity, dipole moment, molecular electrostatic potential, transition density matrix, the density of states, and reorganization energies. All of these studied molecules revealed greater electronic transitions, superior optical properties, fast charge mobilities, and better solubility in the polar solvent when compared to the reference molecule. Amongst all these derived molecules, Y1 emerged as a distinctive candidate, exhibiting the highest maximum absorption wavelength (884 nm) in chloroform along with the smallest energy gap (1.72 eV) as well as the lowest optical gap (1.40 eV). Moreover, it has the highest electron affinity and ionization potential energy, least interaction coefficient, exciton binding energy, and reorganization energy (λe = 0.00340 eV), which can be ascribed to its potent electron withdrawing moieties, which intensifies the transfer of charge between the donor and acceptor units within a molecule. We expect these modifications in the terminal groups around the central core to provide strong theoretical strategies to construct and amplify the photovoltaic parameters of OSCs in the future.

Effective visible-light catalysis triggered by the orbital coupling and carrier transfer in α-phase phthalocyanine/graphene oxide van der Waals heterostructure

The application of graphene oxide (GO) in the photoelectronic materials are greatly restricted by the ineffective carrier separation and mobility, as well as the poor utilization of visible light. In this study, a strategy is proposed to overcome these disadvantages via the fabrication of van der Waals heterostructure. The target heterostructure, Pc-GO, is prepared by the simple assembly of α-phase phthalocyanine (α-H2Pc) and GO in water. The energy degeneration is observed between π orbital of α-H2Pc and valence band of GO, which acts as the channel for transferring the photogenerated electrons from H2Pc to GO. Interestingly, electron transfer becomes more remarkable with the decreasing H2Pc layers. The Fermi level of the heterostructure is thus engineered. Fast mobility of carriers is also demonstrated by the spectroscopic technologies and electrochemical methods. Based on these advantages, the effective photocatalytic detoxication of As(III) is realized by Pc-GO without any electrons/holes sacrifices or additional degassing, and the average reaction rate is 0.68 mg g-1h−1. Especially, Pc-GO suggests an excellent photocatalytic activitty in the range of visible light, and 53.1% of the activity is maintained in contrast to that under the full spectrum. Pc-GO even remains 22 % of photocatalytic property after wrapped by a A4 printing paper, which is essential for the practical application of Pc-GO in natural muddy water. Moreover, the visible-light catalysis of Pc-GO is demonstrated to correlate with the unique α-H2Pc stacks. This work extends the preparation strategies of As(III) remediation materials, and promises a possible method to engineer the photoelectric properties of the device via changing the arrangement of two-dimensional semiconductor.

HFIP-functionalized 3D carbon nanostructure as chemiresistive nerve agents sensors under visible light

A new generation of reliable, sustainable and low power consumption sensors of chemical warfare agents (CWAs) is critically needed for homeland and manufacturing areas security. Due to large active surface, fast charge carriers mobility and function-ability, carbon nanostructure is an attractive detector to dimethyl methylphosphonate (DMMP), imitation of nerve agents. Herein, 3D carbon nanostructure is constructed via in-situ growth of carbon nanofibers (CNFs) on electrospun CNFs (ECNFs), then activated with hexafluoroisopropanol (HFIP) to detect DMMP via H-bonding. To guarantee long-term stability, a designed holder that allows using pieces from sensing materials is used. Interestingly, 3D CNFs/ECNFs-HFIP exhibits a response of 25.5–1 ppm DMMP at room temperature (RT) under light irradiation, and maintains 88% of it in a humid environment, proving stability and humid independence. Compared with that in the dark and of ECNFs and ECNFs-HFIP, it is determined that the grafted HFIP and grown CNFs on ECNFs improve the DMMP detection. The fabric structure of 3D CNFs/ECNFs-HFIP provides a fast charge carriers pathway, quickening the response (2.4 s) and recovery (4.7 s) times. Overall the proposed strategies, the HFIP functionalized 3D carbon has a tremendous enticing to consider as an advanced CWAs sensing material.

TeleNeuroICU: Expanding the Reach of Subspecialty Neurocritical Care.

Telemedicine is a rapidly growing field of medicine due to a combination of high-speed global telecommunication systems and accessibility of small, fast mobile computing platforms with bidirectional audiovisual camera capabilities. Teleneurology is a subset of telemedicine. TeleNeuroICU, one form of teleneurology, is the practice of virtually consulting on patients in the ICU setting with neurological and neurosurgical conditions. Given the current and future shortage of neurologists and neurointensivists, there is a high demand for TeleNeuroICU services around the globe and this is expected to increase in the future. This review summarizes the state of the art around the TeleNeuroICU practice for practitioners in the field, emerging research in this area, and new technologies and integrations that enhance the value of TeleNeuroICU to health care systems.

Path Planning for Multi-Vehicle-Assisted Multi-UAVs in Mobile Crowdsensing

Due to the capability of fast deployment and controllable mobility, unmanned aerial vehicles (UAVs) play an important role in mobile crowdsensing (MCS). However, constrained by limited battery capacity, UAVs cannot serve a wide area. In response to this problem, the ground vehicle is introduced and used to transport, release, and recycle UAVs. However, existing works only consider a special scenario: one ground vehicle with multiple UAVs. In this paper, we consider a more general scenario: multiple ground vehicles with multiple UAVs. We formalize the multi-vehicle-assisted multi-UAV path planning problem, which is a joint route planning and task assignment problem (RPTSP). To solve RPTSP, an efficient multi-vehicle-assisted multi-UAV path planning algorithm (MVP) is proposed. In MVP, we first allocate the detecting points to proper parking spots and then propose an efficient heuristic allocation algorithm EHA to plan the paths of ground vehicles. Besides, a genetic algorithm and reinforcement learning are utilized to plan the paths of UAVs. MVP maximizes the profits of an MCS carrier with a response time constraint and minimizes the number of employed vehicles. Finally, performance evaluation demonstrates that MVP outperforms the baseline algorithm.

Tuning the affinity of amphiphilic guest molecules in a supramolecular polymer transient network.

Dynamicity plays a central role in biological systems such as in the cellular microenvironment. Here, the affinity and dynamics of different guest molecules in a transient supramolecular polymer hydrogel system, i.e. the host network, are investigated. The hydrogel system consists of bifunctional ureido-pyrimidinone (UPy) poly(ethylene glycol) polymers. A monofunctional complementary UPy guest is introduced, designed to interact with the host network based on UPy–UPy interactions. Furthermore, two other guest molecules are synthesized, being cholesterol and dodecyl (c12) guests; both designed to interact with the host network via hydrophobic interactions. At the nanoscale in solution, differences in morphology of the guest molecules were observed. The UPy–guest molecule formed fibers, and the cholesterol and c12 guests formed aggregates. Furthermore, cellular internalization of fluorescent guest molecules was studied. No cellular uptake of the UPy–cy5 guest was observed, whereas the cholesterol–cy5 guest showed membrane binding and cellular uptake. Also the c12–cy5 guest showed cellular uptake. Formulation of the guest molecules into the UPy hydrogel system was done to study the guest–host affinity. No changes in mechanical properties as measured with rheology were found upon guest–hydrogel formulation. Fluorescence recovery after photobleaching showed the diffusive properties of the cy5-functionalized guests throughout the host network. The c12 guest displayed a relatively fast mobility, the UPy guest displayed a decrease in mobility, and the cholesterol–guest remained relatively stable in the host network with little mobility. This demonstrates the tunable dynamic differences of affinity-based interaction between guest molecules and the host network. Interestingly, the cholesterol guest is internalized in cells and is robustly incorporated in the hydrogel network, while the UPy guest is not taken up by cells but shows an affinity to the hydrogel network. These results show the importance of guest–hydrogel affinity for future drug release. However, if modified with cholesterol these guests, or future drugs, will be taken up by cells; if modified with a UPy unit this does not occur. In this way both the drug–hydrogel interaction and the cell internalization behavior can be tuned. Regulating the host–guest dynamics in transient hydrogels opens the door to various drug delivery purposes and tissue engineering.