Results 171 to 180 of about 1,321 (258)

Directional Flow of Confined Polaritons in CrSBr

Advanced Materials, EarlyView.
CrSBr, a layered magnetic semiconductor, naturally channels self‐hybridized excitonpolaritons into highly directional flow. Its intrinsic optical anisotropy, high refractive index, and strong lightmatter coupling enable long‐range guided modes along the a‐axis, with propagation lengths set by their excitonphoton admixture.
Pratap Chandra Adak, Sichao Yu, Jaime Abad‐Arredondo, Biswajit Datta, Andy Cruz, Sorah Fischer, Kseniia Mosina, Zdeněk Sofer, Antonio I. Fernández‐Domínguez, Francisco J. Garcia‐Vidal, Vinod M. Menon   +10 more
wiley   +1 more source

RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model. [PDF]

Bioinformatics
Zeng M, Zhang X, Li Y, Lu C, Yin R, Guo F, Li M.   +6 more
europepmc   +1 more source

Adaptive Twisting Metamaterials

Advanced Materials, EarlyView.
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri, Maria L. Gatto, Edoardo Mancini, Donato Orlandi, Daniele Cortis, Marco Sasso, Shanmugam Kumar   +6 more
wiley   +1 more source

Spectral methods for Neural Integral Equations. [PDF]

Ric Mat
Zappala E.
europepmc   +1 more source

Rainbow Photonic Crystals: Self‐Assembly of Carbohydrate Bottlebrushes Block Copolymers

Advanced Materials, EarlyView.
Full‐color reflective 1D photonic crystals, capable of a tunable, responsive, and reversible color with high repeatability, are created from the self‐assembly of carbohydrate‐based brush block copolymers (BR01‐04). Abstract Tunable and responsive photonic crystal systems are the subject of great research interest owing to their ability to actively ...
Hong Li, Muhammad Mumtaz, Takuya Isono, Toshifumi Satoh, Cheng‐Liang Liu, Wen‐Chang Chen, Redouane Borsali   +6 more
wiley   +1 more source

LRR-UNet: A Deep Unfolding Network With Low-Rank Recovery for EEG Signal Denoising. [PDF]

CNS Neurosci Ther
Yue X, Lu L, Liu H, Zang Y.
europepmc   +1 more source

Improving Ionic Conformality Across Polymer Electrolyte|Electrode Interfaces

Advanced Materials, EarlyView.
Polymer electrolytes typically form physically intimate electrode interfaces but often fail to maintain continuous ionic pathways, critically limiting battery performance. Through strategic compositional design, this study introduces a molecular ionic composite electrolyte that effectively reduces interfacial ionic depletion, ensuring consistent ion ...
Jungki Min, Nicholas F. Pietra, Callum Connor, Zhaohui Liang, Erin C. Jackson, Lei Tao, Dawei Xia, Xu Feng, Dominik Wierzbicki, Seong‐Min Bak, Robert B. Moore, Louis A. Madsen, Feng Lin   +12 more
wiley   +1 more source

Artificial intelligence for quantum computing. [PDF]

Nat Commun
Alexeev Y, Farag MH, Patti TL, Wolf ME, Ares N, Aspuru-Guzik A, Benjamin SC, Cai Z, Cao S, Chamberland C, Chandani Z, Fedele F, Hamamura I, Harrigan N, Kim JS, Kyoseva E, Lietz JG, Lubowe T, McCaskey A, Melko RG, Nakaji K, Peruzzo A, Rao P, Schmitt B, Stanwyck S, Tubman NM, Wang H, Costa T.   +27 more
europepmc   +1 more source

Electrically Assisted Thermal Stamping of Tunable Carbon‐Based Nanofilms for Direct Fabrication of Hydrophobic, Energy Harvesting, and Sensing Devices

Advanced Materials, EarlyView.
Schematic illustration of the electrically assisted thermal stamping (EATS) method for direct fabrication of carbon‐based nanofilms and their multifunctional applications. Localized Joule heating triggers simultaneous exfoliation, reduction, and fluoropolymer incorporation under ambient conditions, yielding tunable carbon‐based thin‐film coatings ...
Byungseok Seo, Yong Choi, Gajendra S. Shekhawat, Minjoong Shin, Kunmo Koo, Xiaobing Hu, Jiheon Kim, Wonjoon Choi, Xinqi Chen, Vinayak P. Dravid   +9 more
wiley   +1 more source

How Sophisticated Are Neural Networks Needed to Predict Long-Term Nonadiabatic Dynamics? [PDF]

J Chem Theory Comput
Zeng H, Kou Y, Sun X.
europepmc   +1 more source