Results 241 to 250 of about 271,940 (302)

The unified digital platform for agricultural production management as the basis of mathematical model for optimizing the crop rotation structure

V.I. Budzko, V.I. Medennikov, P.A. Keyer
openalex   +1 more source

Multispectral Chiral Quasi‐Bound States in the Continuum Enabled Microfluidics for High‐Throughput Molecular Screening and Quantification

Advanced Science, EarlyView.
A microfluidics‐integrated chiral quasi‐BIC metachip is developed that generates strong broadband CD from 0.5–2.0 THz in aqueous environments. A UMAP algorithm processes the resulting multidimensional CD features for simultaneous biomolecular conformation identification and concentration quantification (0.05–0.3 mg dL−1).
Xinyue Liang, Zihan Zhao, Xiaocong Tang, Haiyue Yang, Lanju Liang, Meng Zhao, Cong Wang, Lei Wang, Xumin Ding   +8 more
wiley   +1 more source

Multi-carrier information hiding based on projection-driven vertex embedding in 3D models. [PDF]

PLoS One
Ou Y, Ke J, Yang M, Chen H, Dan Z, Zhao C.   +5 more
europepmc   +1 more source

Symmetry Breaking in Chemical Systems: Engineering Complexity Through Self‐Organization and Marangoni Flows

Advanced Science, EarlyView.
We show that solutal Marangoni flows in thin films climbing the outer surfaces of hydrophilic obstacles break circular Belousov‐Zhabotinsky waves into striking flower‐like patterns. Evaporation‐driven surface‐tension gradients, coupled with gravity, trigger the instability; above a threshold, petal number scales linearly with obstacle diameter ...
Sangram Gore, Binaya R. Paudyal, Duarte Rocha, Mohamed Ali, Nader Masmoudi, Albert J. Bae, Christian Diddens, Detlef Lohse, Oliver Steinbock, Azam Gholami   +9 more
wiley   +1 more source

Design and control of a permanent magnet-based robotic system for navigating tetherless magnetic devices in viscous environments. [PDF]

Sci Rep
Zhang Z, Klingner A, Misra S, Khalil ISM.   +3 more
europepmc   +1 more source

MBE‐Grown ScAlN‐on‐Si Films: Enhancing In‐Plane Crystallinity for Extensional Mode BAW Resonators

Advanced Electronic Materials, EarlyView.
The achievement of in‐plane single crystallinity and a high piezoelectric modulus in epitaxially grown ScAlN films on AlN‐buffered Si (111) enables extensional mode ScAlN‐on‐Si bulk acoustic wave (BAW) resonators with an ultra‐high Q of ≈97k at 70.28 MHz, resulting in a frequency‐Q product of ≈6.86 × 1012, suitable for emerging wireless technologies ...
Shubham Mondal, Shaurya S. Dabas, Garrett Baucom, Jae Hun Kim, Md Mehedi Hasan Tanim, Kaitian Zhang, Hongping Zhao, Honggyu Kim, Roozbeh Tabrizian, Zetian Mi   +9 more
wiley   +1 more source

Continuity up to the boundary for minimizers of the one-phase Bernoulli problem. [PDF]

Calc Var Partial Differ Equ
Fernández-Real X, Gruen F.
europepmc   +1 more source

A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS

Advanced Electronic Materials, EarlyView.
A general and efficient framework is proposed for the rapid design of high‐performance reconfigurable intelligent surfaces (RISs). This framework integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs.
Jun Wei Zhang, Zheng Xing Wang, Wanwan Cao, Zhen Jie Qi, Li Jie Wu, Han Qing Yang, Qun Yan Zhou, Si Ran Wang, Hui Dong Li, Jun Yan Dai, Jiang Luo, Jun Wei Wu, Jia Nan Zhang, Zhen Zhang, Qiang Cheng   +14 more
wiley   +1 more source

Commissioning and clinical implementation of low dose dual-field rotational TSET. [PDF]

J Appl Clin Med Phys
McCallum-Hee BI, Ibrahim M, Mukwada G, Rowshanfarzad P, Dass J, Dewitt J, Parin R, Withey G, Alkhatib Z.   +8 more
europepmc   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source