Results 151 to 160 of about 219,224 (269)

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Supervised learning for predicting unknown modifying variables in pliable lasso. [PDF]

Sci Rep
Hawrami ZSM, Cengiz MA, Dünder E.
europepmc   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Explainable hybrid CNN-transformer with self-supervised learning for structural analysis of paranasal sinus CT. [PDF]

Front Comput Neurosci
Ullah N, Algamdi SA, Sadad T.
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Supervised learning of the Jaynes-Cummings Hamiltonian. [PDF]

Sci Rep
Choi W, Lee CW, Noh C.
europepmc   +1 more source

Nanomaterial Integration at Liquid–Liquid Interfaces for Green Catalysis

Advanced Materials, EarlyView.
Functional nanomaterials assembled at liquid–liquid interfaces create dual‐role platforms serving as emulsion stabilizers and catalytic sites, offering enhanced reaction kinetics with improved catalyst recovery and recyclability. This review examines design strategies, structure‐performance relationships, and industrial implementation prospects of ...
Bokgi Seo, Jaewon Shin, Minkyoung Jang, Kyoungho Choi, Tengfei Pang, Fangrui Zhong, Jin Woong Kim   +6 more
wiley   +1 more source

Early detection of metastatic risk in primary cutaneous melanoma using weakly supervised learning. [PDF]

Sci Rep
Dahlén F, Shujski I, Yacob F, Häggström I, Jovanovic J, Dudina O, Pölönen I, Neittaanmäki N.   +7 more
europepmc   +1 more source

Thiolated Polymers in 3D Bioprinting: Control of Gelation

Advanced Materials, EarlyView.
Thiolated polymers are established as programmable bioinks for 3D bioprinting, integrating versatile crosslinking chemistries with redox‐responsive control. This work demonstrates how molecular design and external triggers define gelation kinetics, printability windows, and structural fidelity, enabling stable, high‐resolution constructs and advancing ...
Soheil Haddadzadegan, Flavia Laffleur, Andreas Bernkop‐Schnürch   +2 more
wiley   +1 more source

Towards Multi-Brain Decoding in Autism: A Self-Supervised Learning Approach. [PDF]

Neuroinformatics
Ranjabaran G, Moreau Q, Dubois A, Dumas G.   +3 more
europepmc   +1 more source