Results 211 to 220 of about 3,877,335 (299)

Differential Sedimentation and Cryo‐TEM Mapping Resolve Structural Heterogeneity in Conjugated Polymer Nanowires for Programmable Stretchable Electronics

Advanced Materials, EarlyView.
Density‐driven differential sedimentation fractionates solution‐assembled P3HT nanowires into crystalline and disordered constituents. High‐resolution cryo‐TEM directly visualizes the molecular chain packing within individual nanowires in real space, and recombining the fractions programs the mobility–stretchability trade‐off without chemical ...
Junyeon Yoon, Jun Ho Hwang, Eunji Lee
wiley   +1 more source

Gender differences in prolonged grief: a network perspective on symptom interconnections and functional impairment. [PDF]

Eur J Psychotraumatol
Li Y, Jiao K, Chow AYM, Ng YH, Chong ESK, Cong Q, Ning J, Suen MHP.   +7 more
europepmc   +1 more source

Giant Nonequilibrium Valley Control via Spin‐Selective Hot‐Carrier Transfer in an Antiferromagnetic van der Waals Stack

Advanced Materials, EarlyView.
Spin‐selective hot‐carrier transfer across CrSBr/WSe2/CrSBr interfaces couples the continuously tunable magnetic configuration of antiferromagnetic CrSBr to the valley degrees of freedom of monolayer WSe2, enabling giant nonequilibrium valley control and magnetic‐state‐dependent reversal of circularly polarized emission.
Ke Xiao, Jiabao Yang, Kai Feng, Yicheng Guan, James Caleb Peters, Ramona Hoffmann, Niels Schröter, Stuart S. P. Parkin   +7 more
wiley   +1 more source

From prior knowledge to data-informed models: a review of Boolean network inference. [PDF]

Brief Bioinform
Klemmer P, Hemedan AA, Schneider R, Ostaszewski M.   +3 more
europepmc   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

A Perspective on Direct Binary Capacitance Detectors for Decision-Driven Biochemical and Lab-on-Chip Applications: A CMOS Cross-Coupled-Based Capacitance Detector. [PDF]

Micromachines (Basel)
Azadmousavi T, Forouhi S, Ghafar-Zadeh E.   +2 more
europepmc   +1 more source

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

Advanced Materials, EarlyView.
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen, Matthias Mork, Ramin Nasehi, Vasudha Turuvekere Krishnamurthy, Kira Zeevaert, Aaron Babendreyer, Jacopo Di Russo, Wolfgang Wagner, Laura De Laporte   +8 more
wiley   +1 more source

A dermal backflow atlas of lymphatic dysfunction in breast cancer-related lymphedema with machine learning-based stage prediction. [PDF]

Breast Cancer Res Treat
Sutejitsiri L, Suami H, Nielsen PMF, Phillips ARJ, Reynolds HM.   +4 more
europepmc   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Graph neural networks can predict ketosynthase substrate specificity. [PDF]

Sci Rep
Walmsley M, Connolly JA, Takano E, Breitling R.   +3 more
europepmc   +1 more source