Results 151 to 160 of about 147,026 (262)

A Physics-Informed Machine Learning Framework for Modeling Biaxial Strain-Induced Band Gap Variation in Zig-Zag Single-Walled Carbon Nanotubes. [PDF]

Nanomaterials (Basel)
Vardar N.
europepmc   +1 more source

Electrically Tunable Heliconical Smectic Superstructure in Polar Fluids

Advanced Materials, EarlyView.
Strong dipole–dipole interactions give rise to an emergent polar smectic phase with spontaneous chiral symmetry breaking. This resulting polar heliconical smectic superstructure enables novel functionalities in polar fluids, such as color modulation driven by electric field strength and frequency, as well as second‐harmonic generation amplification ...
Hiroya Nishikawa, Dennis Kwaria, Atsuko Nihonyanagi, Koki Sano, Hiroyuki Yoshida, Fumito Araoka   +5 more
wiley   +1 more source

Accelerated Stability Studies: A Frequentist-Bayesian Hybrid Simulation Approach Implemented in the AccelStab R Package. [PDF]

Pharm Stat
Francq BG, Giannelos N, Sanchez R, Paludi M.   +3 more
europepmc   +1 more source

Nonstationary Nonlinear Heteroskedasticity : An Alternative to ARCH

Nonstationary Nonlinear Heteroskedasticity : An Alternative to ARCH
application/pdf In this paper, we consider time series with the conditional heteroskedasticities that are given by nonlinear functions of integrated processes. Such time series are said to have nonlinear nonstationary heteroskedasticity (NNH), and the functions generating conditional heterogeneity are called heterogeneity generating functions (HGF's ...
openaire   +1 more source

CVD Grown Hybrid MoSe2–WSe2 Lateral/Vertical Heterostructures With Strong Interlayer Exciton Emission

Advanced Materials, EarlyView.
A scalable bottom‐up CVD methodology, based on liquid transition metal salt precursors, is presented for the controlled growth of two high‐quality MoSe2–WSe2 heterostructures (HSs): purely lateral (HS I) and hybrid lateral/vertical (HS II), by simply adjusting precursor concentration.
Md Tarik Hossain, Sai Shradha, Axel Printschler, Julian Picker, Luc F. Oswald, Julian Führer, Nicole Engel, Honey Jayeshkumar Shah, Christof Neumann, Daria I. Markina, Moritz Quincke, Johannes Biskupek, Kenji Watanabe, Takashi Taniguchi, Ute Kaiser, Bernhard Urbaszek, Andrey Turchanin   +16 more
wiley   +1 more source

Data-Driven Nonlinear Model Predictive Control for Air Separation Units. [PDF]

ACS Omega
Krespach V, Blum N, Pottmann M, Bhatia S, Kramer F, Tetampel L, Shah P, Zapp G, Rehfeldt S, Klein H.   +9 more
europepmc   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Bayesian Multi-Model Comparison and Nonlinear Mixed Modelling of Growth Trajectories in Denizli Chickens. [PDF]

Animals (Basel)
Manav HR, Narinç D, Aygun A, Öksüz Narinç N, Kaya Başar E, Fırat MZ.   +5 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

A tutorial on causal network simulation and exploration using the causalnet R package. [PDF]

Behav Res Methods
Park K, Vasconcelos VV, Lees M.
europepmc   +1 more source