Results 171 to 180 of about 401,511 (278)

Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?

Advanced Functional Materials, EarlyView.
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee, Yunseo Kim, Hyeong‐ku Jo, Dongjoon Yoon, Byeonghyeok Im, WonJeong Yu, Eui‐Rim On, Changhwan Lee   +7 more
wiley   +1 more source

Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification. [PDF]

J Sci Comput
Zanoni A, Geraci G, Salvador M, Marsden AL, Schiavazzi DE.   +4 more
europepmc   +1 more source

DNA‐Origami‐Assembled Rhodium Nanoantennas for Deep‐UV Label‐Free Single‐Protein Detection

Advanced Functional Materials, EarlyView.
Deep‐UV autofluorescence of single proteins in DNA origami‐based rhodium nanoantennas. Precisely positioned within the plasmonic nanogap, proteins retain their native state while their intrinsic emission is strongly amplified, enabling label‐free single‐molecule detection and opening new opportunities for highly sensitive and specific biosensing ...
Nicco Corduri, Malavika Kayyil Veedu, Yifan Yu, Yanqiu Zou, Jie Liu, Denis Garoli, Guillermo P. Acuna, Jérôme Wenger, Karol Kołątaj   +8 more
wiley   +1 more source

Machine learning model for fast prediction and uncertainty quantification of needle deflection during prostate biopsy. [PDF]

Med Phys
Hoffman N, Al-Zogbi L, Krieger A, Tokuda J, Moreira P, Fuge M.   +5 more
europepmc   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Mamba time series forecasting with uncertainty quantification. [PDF]

Mach Learn Sci Technol
Pessoa P, Campitelli P, Shepherd DP, Ozkan SB, Pressé S.   +4 more
europepmc   +1 more source

Enhanced Li‐Ion Battery Performance with Hybrid MXene/GnR Electrodes: Heterojunctions and Engineered Architectures Supported by DFT Mechanistic Studies for Improved Rate Performance, Stability & Capacity

Advanced Functional Materials, EarlyView.
Lithium‐ion batteries (LIBs) remain central to energy storage but suffer from slow ion transport and degradation. Here, we present a binder‐free Ti3C2Tx MXene/GnR hybrid electrode with a porous 3D architecture formed via freeze casting. The structure enhances conductivity, ion transport, and stability, delivering 401 mAh/g, ∼97% efficiency, and 92 ...
Sara Mohseni Taromsari, Meysam Salari, Dipali Nayak, Saeed Habibpour, Ling Wei Hwang, Cristopher Carreiro, Carlos M. Da Silva, Aiping Yu, Chul B. Park, Cristina H. Amon, Hani E. Naguib   +10 more
wiley   +1 more source

Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology. [PDF]

Nat Mach Intell
Badkul A, Xie L, Zhang S, Xie L.
europepmc   +1 more source

Nanodiamond Quantum Sensors for Probing Free Radical Biology

Advanced Functional Materials, EarlyView.
Free radicals play key roles in cellular signaling and disease but remain difficult to measure in living systems. Nanodiamonds (NDs) with nitrogen‐vacancy (NV) centers enable quantum sensing of local magnetic noise via T₁ relaxometry, providing nondestructive radical detection in living cells.
Qi Lu, Yingke Wu, Tanja Weil
wiley   +1 more source

Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce. [PDF]

J Am Stat Assoc
Han J, Dai X.
europepmc   +1 more source