Results 161 to 170 of about 381,752 (282)

Extrinsic and Intrinsic Charge Transfer at Interfaces of Membrane‐Based Oxide Heterostructures

Advanced Electronic Materials, EarlyView.
Freestanding oxides have emerged as a new opportunity to tailor oxides outside of the typical epitaxial constraints. We present the fabrication of TiO2‐terminated SrTiO3 membranes via direct growth control. We demonstrate competing ionic and electronic charge transfer in LaAlO3/SrTiO3 bilayers using near ambient pressure XPS.
Kapil Nayak, Marcus A. Wohlgemuth, Anton Kaus, Lisa Heymann, Alexandros Sarantopoulos, Lee‐Kang Huang, Christoph Baeumer, Regina Dittmann, Felix Gunkel   +8 more
wiley   +1 more source

Mathematical Modeling and Computation of NM-Polynomial Indices for Physicochemical Properties Prediction. [PDF]

Sci Rep
Tawhari QM, Naeem M, Koam ANA, Ahmad A, Oyelakin O.   +4 more
europepmc   +1 more source

Uncovering the Role of Intrinsic Magnetic Order in Oxygen Evolution Reaction Activity With Operando Spectroscopy

Advanced Energy Materials, EarlyView.
Operando magnetic spectroscopy provides insight into how intrinsic magnetic order modulates the oxygen evolution reaction on La0.67Sr${\rm La}_{0.67}{\rm Sr}$0.33MnO$_{0.33}{\rm MnO}$3$_3$ thin films. Temperature‐dependent operando FMR and ambient‐pressure XMCD suggest a correlation between activity and the emergence of ferromagnetic regions near and ...
Emma van der Minne, Silvia Mauri, Anatoliy A. Vereshchagin, Vadim Ratovskii, Ellen M. Kiens, Hemanita Sharma, Jan Behrends, Piero Torelli, Gertjan Koster, Christoph Baeumer   +9 more
wiley   +1 more source

Optimizing Tourism Routes: A Quantum Approach to the Profitable Tour Problem. [PDF]

Entropy (Basel)
Cheng XS, Liu YH, Dong XH, Wang Y.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Syntactic Complexity Development in CSL Writing: A Perspective from Dynamic Systems Theory. [PDF]

Behav Sci (Basel)
Zhang H.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]

PLoS One
Jena M, Dehuri S, Cho SB.
europepmc   +1 more source

Kenyan Farmers' Policy Priorities During Economic Crisis and Stability: Insights From a Best‐Worst Scaling Experiment

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia, John Olwande, Jacob Ricker‐Gilbert, David L. Mather, Nicole M. Mason   +4 more
wiley   +1 more source

The two dragons of cognition: recursive condensation for predictive processing. [PDF]

Front Comput Neurosci
Li X.
europepmc   +1 more source