Results 211 to 220 of about 2,493,559 (304)

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Functionalized Biomimetic Scaffolds for Human‐Derived Auditory Neural Circuit Construction

Advanced Science, EarlyView.
In Vitro Auditory Circuit Model. ABSTRACT Damage to auditory circuits results in sensorineural hearing loss. However, the scarcity of human inner ear tissue significantly hinders the development of therapies to preserve auditory function, creating a critical need for reliable in vitro models.
Pan Feng, Qian Zhu, Yusong Wang, Hao Rong, Xu Zhang, Fuchun Wang, Tianqi Yu, Wenxuan Wang, Jing Li, Lei Tian, Menghui Liao, Renjie Chai, Yangnan Hu   +12 more
wiley   +1 more source

Thermal-State Continuous-Variable Quantum Key Distribution Under the Effects of Gravity. [PDF]

Entropy (Basel)
Zhang L, Huang J, Zhou J.
europepmc   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Microstructure and Strength of Yttria-Reinforced Aluminum by ARB. [PDF]

Materials (Basel)
Meysami A, Rahimi F, Meisami A, Aghili SE, Meysami M.   +4 more
europepmc   +1 more source

A Universal Protein Ladder for Standardization of Diverse FRET Assays

Advanced Science, EarlyView.
Translating FRET measurements from in vitro to intracellular environments requires universal benchmarks. We present a modular protein ladder using TPR motifs to harmonize data across diverse platforms. This predictable calibration curve bridges single molecule FRET measurements, with cell based measurements including FLIM‐FRET.
Evelyn R. Smith, Katie L. Gelder, Lewis Hunter‐Craig, Daniel A. Bose, Timothy D. Craggs, Alison E. Twelvetrees   +5 more
wiley   +1 more source

On Ergodic and Inverse Shadowing Properties of Set-Valued Mapping. [PDF]

F1000Res
Wattan Kamil F, Al-Shara'a IMT.
europepmc   +1 more source

Efficient Polarization‐Entangled Photon‐Pair Generation by a Fiber‐In‐Line van der Waals Material

Advanced Science, EarlyView.
Telecom‐wavelength polarization‐entangled photon pairs are generated in a van der Waals‐material‐integrated all‐fiber device via spontaneous parametric down‐conversion. The demonstrated fiberized quantum light source bridges emerging 2D nonlinear materials and practical quantum photonic systems, opening new opportunities for scalable fiber‐based ...
Jungseok Choi, Seongju Ha, Seungjae Lim, Joohyeon Ahn, Jaekyoung Kim, Jong Hyuk Yim, Nam Hun Park, Youngdong Yoo, Jae‐Ung Lee, Hee Su Park, Sang Min Lee, Dong‐Il Yeom   +11 more
wiley   +1 more source

Unveiling the microstructures and electronic features of a trivalent chromium-doped yttrium oxide crystal: a first-principles study. [PDF]

RSC Adv
Kong P, Wang J, Jiang Z, Zhang D, Xiong R, Ju M, Yu T, Li Q, Wang W, Feng J.   +9 more
europepmc   +1 more source

Agent‐Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions

Advanced Science, EarlyView.
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan, James R. M. Black, Carlos Martínez‐Ruiz, Kristiana Grigoriadis, Jasmin Fisher, Nicholas McGranahan   +5 more
wiley   +1 more source