Article
Engineering, Environmental
Jinhao Zheng, Lei Liao, Rui Liu, Chongcong Li, Yan Zhang
Summary: This study explored a promising approach to co-manage torrefaction condensates (TCs) and carbon-rich fly ash (FA), finding that the blending of FA and TC improved CO2 gasification reactivity and combustion performance of the resulting mixtures.
Review
Chemistry, Multidisciplinary
Kadi L. Saar, Daoyuan Qian, Lydia L. Good, Alexey S. Morgunov, Rosana Collepardo-Guevara, Robert B. Best, Tuomas P. J. Knowles
Summary: Biomolecular condensation processes are fundamental mechanisms that living cells utilize to organize biomolecules in time and space, leading to the formation of membraneless organelles. Computational methods, including theoretical methods, physics-driven simulations, and data-driven machine learning methods, provide a unique perspective to study biomolecular condensation and offer advantages such as high resolution and scale. This review discusses the recent progress and limitations of these computational approaches and highlights the challenges in understanding the molecular driving forces and biological roles of biomolecular condensation in health and disease.
Article
Chemistry, Physical
Stephen Sanderson, George Vamvounis, Alan E. Mark, Paul L. Burn, Ronald D. White, Bronson W. Philippa
Summary: Solution-processing of organic light-emitting diode films has potential advantages over vacuum-deposition, but may result in lower device performance. Molecular dynamics simulations were used to study solvent evaporation during solution processing and its effects on charge transport and exciton dynamics.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Chemistry, Physical
Michael John Craig, Romain Barda-Chatain, Max Garcia-Melchor
Summary: An exhaustive computational investigation was conducted on substitutionally doped Co-based POMs with different transition metals and heteroatoms, identifying a promising Cr-based POM with a predicted overpotential of 310 mV for OER. This study establishes linear scaling relationships and leverages electronic effects induced by heteroatoms to efficiently screen potential earth-abundant POMs.
JOURNAL OF CATALYSIS
(2021)
Article
Computer Science, Information Systems
Bozheng Pang, Tim Claeys, Jens Vankeirsbilck, Kristof T'Jonck, Hans Hallez, Jeroen Boydens
Summary: This article investigates the impact of transmission parameters on the reliability of Bluetooth Low Energy (BLE) connections, particularly under interference caused by other connections. By validating a mathematical model and conducting experimental evaluations, the study reveals the interplay between transmission parameters, coexistence, and other related factors. The research provides valuable insights for the design and deployment of BLE in various applications.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Energy & Fuels
Namwoo Kim, Soohyeok Park, Hyein Cho, Jungtaek Lee, Myounghyun Lee, Han-Don Um, Kwanyong Seo
Summary: Dopant-free crystalline silicon solar cells, as a promising next-generation approach, offer multiple advantages and potential applications. This review discusses the development, key characteristics, performance evaluation, and strategies for improving the efficiency of dopant-free solar cells.
Article
Materials Science, Multidisciplinary
M. V. Shandrikov, A. A. Cherkasov, E. M. Oks, A. V. Vizir, D. B. Zolotukhin
Summary: We report our investigations on a planar high-current pulsed magnetron discharge with injection and acceleration of auxiliary electrons into the cathode layer. The use of a gasless vacuum-arc electron emitter leads to a decrease in the minimum operating pressure of the discharge.
Article
Astronomy & Astrophysics
Marco Bruni, Rodrigo Maier, David Wands
Summary: This study examines the dynamics of Friedmann-Lemaitre-Robertson-Walker cosmologies with an interaction between vacuum and perfect fluid through energy exchange. The focus is on exploring nonsingular configurations, including cyclic and bouncing models. The research demonstrates that both linear and nonlinear combinations of vacuum and fluid energy densities can lead to bouncing and cycling cosmologies.
Article
Materials Science, Multidisciplinary
Rui-rui Yuan, Ying Shi, Song-lin Zhao, Jun-xiao Zhao
Summary: This paper investigates the combined KdV-mKdV equation, which is a valuable tool in the study of water waves. Through the bilinear approach, rational solutions and soliton solutions in the determinant form are obtained. The novel idea in this paper allows for free multiparameters in rational solutions, distinguishing it from the Darboux transformation method.
RESULTS IN PHYSICS
(2023)
Article
Engineering, Industrial
Yongmao Xiao, Zhigang Jiang, Quan Gu, Wei Yan, Ruping Wang
Summary: NC machining is widely used in mechanical manufacturing systems, and the reasonable selection of cutting parameters is crucial for reducing costs and energy consumption. A process parameter optimization method for CNC machining centers that considers energy-saving and low-cost aspects was proposed, utilizing a multi-objective optimization model and combinatorial optimization algorithm to improve processing efficiency.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Chemistry, Physical
Ming-Xiao Zhu, Qu-Cheng Yu, Heng-Gao Song, Ting-Xin Chen, Ji-Ming Chen
Summary: A machine learning approach was proposed to rationally design polymer composites with desired properties, showing that the effects of nanofiller permittivity and bandgap on breakdown strength and permittivity follow opposite trends. This trade-off can be improved by tailoring the shape, orientation, and distribution of nanofillers.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Green & Sustainable Science & Technology
Wei Wang, Ke Liu, Muxing Zhang, Yuchi Shen, Rui Jing, Xiaodong Xu
Summary: This study proposes an automatic framework to optimize urban design through the use of an urban building energy model, with three optimization goals defined. Urban morphology serves as the bridge between the urban design scenario and the actual urban block in the optimization process.
Article
Astronomy & Astrophysics
J. Prat, C. Hogan, C. Chang, J. Frieman
Summary: Within the Lambda CDM cosmological model, the accurate measurement of the absolute physical density rho Lambda, which is sometimes expressed as the gravitating mass-energy density Lambda or Einstein's cosmological constant, is crucial in testing quantum gravity theories. This study combines various cosmological data and assumes a flat Lambda CDM model to infer the value of the conventional parameter Omega(Lambda)h(2), which corresponds to rho Lambda. The result, rho Lambda = (60.3 +/- 1.3) x10(-31)g/cm(3), is the most precise constraint to date, with a calibration based on CMB temperature. Different values are obtained when using a local distance scale calibration, mainly due to systematic differences in the Hubble constant. Future cosmological parameter studies are suggested to include constraints on the vacuum density.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Eduard Fernandez, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia G. Gomez-Santillan, Carlos A. Coello-Coello
Summary: This paper explores the incorporation of decision-maker (DM) preferences into multi-objective optimization algorithms and compares the performance of different algorithms through experiments.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Chemistry, Physical
Yuxin Liu, Shuai Kang, Tinghua Li, Zhuofeng Hu, Yiwei Ren, Ziwei Pan, Xie Fu, Liang Wang, Shuanglong Feng, Jinling Luo, Lei Feng, Wenqiang Lu
Summary: The research demonstrates that photocatalytic CO2 reduction in a low vacuum can significantly improve the CH4 yield, showing long-term stability and good cycling performance under such conditions. Enhanced CO2 photoreduction in a low vacuum results from improved accumulation of photogenerated electrons, reduced Brownian movement of gas molecules, and hindered active site-blocking by gas molecules.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
