Results 111 to 120 of about 1,579 (213)

Scalable modeling of multi-spin ensembles in SABRE hyperpolarization: a symmetry-based framework for zero and ultralow fields. [PDF]

Magn Reson (Gott)
Markelov D, Snadin A, Kiryutin A, Barskiy D, Yurkovskaya A.   +4 more
europepmc   +1 more source

Field‐Programmed Anisotropy in Magneto‐Piezoelectric Composites for Material‐Encoded Mechanoperception

Advanced Materials, EarlyView.
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim, Yumin Kwon, Dabin Kim, Minsun Oh, Jin Young Jung, Dongyeong Gim, Kootak Hong, Jun Yeon Hwang, Sang‐Woo Kim, Minjeong Ha   +9 more
wiley   +1 more source

Best constants in subelliptic fractional Sobolev and Gagliardo-Nirenberg inequalities and ground states on stratified Lie groups. [PDF]

Calc Var Partial Differ Equ
Ghosh S, Kumar V, Ruzhansky M.
europepmc   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Multivariate stability statistics of genotype by environment interaction on fresh yield of cowpea. [PDF]

Sci Rep
Ghazy MMF, Yehia WMB, El-Hashash EF, Hatab SH, El-Absy KM.   +4 more
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Analysis of yield stability and genotype-environment interaction for open-pollinated tomato varieties in the Kashmir Himalaya using the AMMI model. [PDF]

Sci Rep
Masoodi UH, Shah IA, Emam W, Tashkandy Y, Mishra P, Mishra N, Matuka A.   +6 more
europepmc   +1 more source

Ultralow‐Dispersion Silicon THz Photonic Crystal Interconnects for Multichannel Datalinks

Advanced Materials, EarlyView.
An all‐silicon terahertz photonic crystal waveguide interconnect enables 452 Gbps aggregate data transfer through seven complex‐modulated channels. By revealing the impact of ultralow dispersion on link performance and achieving a record interconnect figure of merit, the work advances centimeter‐scale THz on‐chip communication for future data‐centre ...
Nikhil Navaratna, Thomas CaiWei Tan, Pascal Szriftgiser, Guillaume Ducournau, Ranjan Singh   +4 more
wiley   +1 more source

Yield performance and stability of durum wheat varieties in northwestern Ethiopia. [PDF]

BMC Plant Biol
Menzir A, Firew Y, Kassaye M, Mequanint G.   +3 more
europepmc   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

Advanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source