Showing papers by "Purdue University published in 2022"
TL;DR: The FourPhonon package as mentioned in this paper is a computational package that can calculate four-phonon scattering rates in crystals using the Boltzmann transport equation (BTE) solver.
75 citations
TL;DR: In this paper , the authors presented the development of lipid nanoparticles for COVID-19 vaccine delivery in 2020, which can deliver a drug for 12 hours after oral administration through an initial immediate dose followed by the remaining released gradually.
75 citations
TL;DR: In this article, a 3D hierarchical porous hybrid hydrogel evaporator with embedded carbon black (CB) for solar steam generation (SSG) is built through 3D printing method.
74 citations
TL;DR: The FourPhonon package as discussed by the authors is a computational package that can calculate four-phonon scattering rates in crystals using the Boltzmann transport equation (BTE) solver.
73 citations
TL;DR: In this paper, the pyrolysis of lignin from the aspects of mechanism, modeling, and effects of inorganic species is comprehensively reviewed, with special attention paid to the structure representation and reaction network.
66 citations
TL;DR: In this paper , a 3D hierarchical porous hybrid hydrogel evaporator with embedded carbon black (CB) for solar steam generation (SSG) is built through 3D printing method.
64 citations
TL;DR: Two complementary reviews of computational linguistics and organizational text mining research are conducted to provide empirically grounded text preprocessing decision-making recommendations that account for the type of text mining conducted, the research question under investigation, and the data set’s characteristics.
Abstract: Recent advances in text mining have provided new methods for capitalizing on the voluminous natural language text data created by organizations, their employees, and their customers. Although often...
60 citations
TL;DR: In this paper , the pyrolysis of lignin from the aspects of mechanism, modeling, and effects of inorganic species is comprehensively reviewed, with special attention paid to the structure representation and reaction network.
58 citations
TL;DR: In this article, the relationship between absorptivity in terms of absorption/desorption kinetics and retention of the absorbed liquid and the polymer physico-chemical principles is discussed and the use and effects of superabsorbent polymers in concrete are outlined and explained mechanistically.
51 citations
TL;DR: In this paper, a Z-scheme heterojunction g-C3N4/BiPO4 (CNBx) photocatalyst was constructed to activate the residual SO42−, H2O and dissolved O2 in organic wastewater simultaneously and produce SO4−, ·OH and O2·− efficiently, so as to realize enhanced organic pollutant treatment by using clean and renewable solar energy resources.
32 citations
TL;DR: In this article , a Z-scheme heterojunction g-C3N4/BiPO4 (CNBx) photocatalyst was constructed to activate the residual SO42− , H2O and dissolved O2 in organic wastewater simultaneously and produce SO4−, ·OH and O2·− efficiently, so as to realize enhanced organic pollutant treatment by using clean and renewable solar energy resources.
TL;DR: In this article, the landscape and temporal trends of road safety research in low and middle-income countries (LMICs) are analysed while contrasting them with those of the general scholarly literature on road safety.
TL;DR: In this paper, the effect of the key structural parameters of HCAC on the performance of HC adsorption and conversion was studied, and the numerical simulation was carried out with propene as the probe.
TL;DR: In this paper, the Chemical looping deoxygenated gasification (CLDG) process is experimentally conducted to demonstrate the crucial role of deoxyGENation on syngas refinement and CO2 utilization via Fe0−↔−Fe3+ looping.
TL;DR: In this paper, the authors compared the microstructure and the mechanical behavior of as-printed and stress-relieved Haynes 230 Ni alloys prepared by laser powder bed fusion.
TL;DR: In this article, a simulation-based multi-objective optimization method was proposed to minimize both life cycle cost and CO2 emissions of buildings, and the results indicated that the optimization approach in this study would improve building performance.
Abstract: Currently, building construction and operation are responsible for 36% of global final energy usage and nearly 40% of energy-related carbon dioxide (CO2) emissions. From the sustainable development perspective, it is crucial to consider the impact of construction material on the achievement of life cycle benefits. This study proposed a simulation-based multi-objective optimization method to minimize both life cycle cost and CO2 emissions of buildings. We built an energy simulation model with hybrid ventilation and light-dimming control in EnergyPlus based on an operational passive residential building in a severe cold climate. Next, this investigation selected insulation thickness, window type, window-to-wall ratio, overhang depth and building orientation as design variables. The study ran parametric simulations to establish a database and then used artificial neural network models to correlate the design variables and the objective functions. Finally, we used the multi-objective optimization algorithm NSGA-II to search for the optimal design solutions. The results showed potential reductions of 10.9%–18.9% in life cycle cost and 13.5%–22.4% in life cycle CO2 emissions compared with the initial design. The results indicated that the optimization approach in this study would improve building performance. The optimal values of the design variables obtained in this study can guide designers in meeting economic and environmental targets in passive buildings.
TL;DR: An intelligent EMS for PHEVs is proposed using a novel adaptive firework algorithm (AFWA) for the efficient optimization of control parameters and a modified AFWA is proposed to efficiently optimize control parameters of these two strategies.
TL;DR: In this paper , a double S-channel cold plate is designed and used for cooling a prismatic LiFePO4 battery, and the maximum temperature, temperature difference and pressure drop are numerically investigated and compared under different conditions.
TL;DR: This work builds on the recent success of deep neural networks by combining their approximation power in high dimensions with ideas from model reduction, and results in a neural network approximation that has high fidelity, is computationally inexpensive, is independent of the need for a priori knowledge, and can be used directly in the coarse scale calculations.
Abstract: The macroscopic properties of materials that we observe and exploit in engineering application result from complex interactions between physics at multiple length and time scales: electronic, atomistic, defects, domains etc. Multiscale modeling seeks to understand these interactions by exploiting the inherent hierarchy where the behavior at a coarser scale regulates and averages the behavior at a finer scale. This requires the repeated solution of computationally expensive finer-scale models, and often a priori knowledge of those aspects of the finer-scale behavior that affect the coarser scale (order parameters, state variables, descriptors, etc.). We address this challenge in a two-scale setting where we learn the fine-scale behavior from off-line calculations and then use the learnt behavior directly in coarse scale calculations. The approach builds on the recent success of deep neural networks by combining their approximation power in high dimensions with ideas from model reduction. It results in a neural network approximation that has high fidelity, is computationally inexpensive, is independent of the need for a priori knowledge, and can be used directly in the coarse scale calculations. We demonstrate the approach on problems involving the impact of magnesium, a promising light-weight structural and protective material.
TL;DR: In this paper, Liu et al. carried out numerical simulations and parameter sensitivity analysis to investigate the key factors of the fluid flow and heat transfer performance in rectangular microchannels, and considered variables included key physical parameters of the fluids and dimensions of the micro channels.
TL;DR: In this paper , the effect of the key structural parameters of HCAC on the performance of HC adsorption and conversion was studied, and the numerical simulation was carried out with propene as the probe.
TL;DR: In this paper , a new quantitative read-across methodology for predicting the toxicity of newly synthesized NPs based on the similarity with structural analogues was proposed, which is similar to the one proposed in this paper.
Abstract: In the current study, we propose a new quantitative read-across methodology for predicting the toxicity of newly synthesized NPs based on the similarity with structural analogues.
01 Jan 2022
TL;DR: This letter analyzes the limiting behavior of the model and presents necessary and sufficient conditions for estimating the spreading parameters from data, and illustrates these results via simulation and with real COVID-19 data from the Northeast United States.
Abstract: In this letter we present a deterministic discrete-time networked SEIR model that includes a number of transportation networks, and present assumptions under which it is well defined. We analyze the limiting behavior of the model and present necessary and sufficient conditions for estimating the spreading parameters from data. We illustrate these results via simulation and with real COVID-19 data from the Northeast United States, integrating transportation data into the results.
TL;DR: In this paper, a combination of in situ diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy, perturbation-correlation moving-window 2D-COS and PCMW2D was used to reveal the catalytic mechanism of KCl and CaCl2 on cellulose char evolution during slow pyrolysis.
TL;DR: In this article , Liu et al. carried out numerical simulations and parameter sensitivity analysis to investigate the key factors of the fluid flow and heat transfer performance in rectangular microchannels, and considered variables included key physical parameters of the fluids and dimensions of the micro channels.
TL;DR: In this paper, the authors highlight the current trends and perspectives on the use of nanofertilizers for improving soil fertility with a special focus on their effects on beneficial phyromicrobiome.
TL;DR: In this paper , a combination of in situ diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy, perturbation-correlation moving-window 2D-COS and PCMW2D was used to reveal the catalytic mechanism of KCl and CaCl2 on cellulose char evolution during slow pyrolysis.
TL;DR: In this article , ZSM-5 zeolite was selected as adsorbent and coated on cordierite carrier and encapsulated as a hydrocarbon (HC) catcher.
01 Jan 2022
TL;DR: The dinotefuran/SPc complex is relatively safe to predators and plants as mentioned in this paper , and can reduce particle size, increase plant uptake and bioactivity, and decrease residue.
Abstract: SPc can be conjugated with dinotefuran through hydrogen bonding and van der Waals forces, which reduce particle size, increase plant uptake and bioactivity, and decrease residue. The dinotefuran/SPc complex is relatively safe to predators and plants.