Results 191 to 200 of about 25,119 (260)

When Mechanics Rewrites Chemistry: Divergent Pathways of Hardening and Softening in High Strength Al‐Alloys

Advanced Science, EarlyView.
Mechanics reshapes chemistry: plastic flow actively governs two divergent, atomic‐scale mechanochemical pathways that tailor strain localization and ductility in high‐strength 7xxx Al alloys. Rather than relying on static structures, deformation dynamically reinforces the solution‐treated state via clustering, yet destabilizes the peak‐aged condition ...
Huan Zhao, Linze Li, Shaolou Wei, Jueyi Qi, Jiewen Xiao, Degang Xie, Xie Zhang, Gang Liu, Dierk Raabe, Jun Sun   +9 more
wiley   +1 more source

Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues

Advanced Science, EarlyView.
Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali, Mangirdas Malinauskas, Giuseppe Chirico   +2 more
wiley   +1 more source

Transport–Reaction–Signal Coupling in Lateral Flow Assays for Next‐Generation Point‐of‐Care Diagnostics

Advanced Science, EarlyView.
Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan, Yuewei Li, Chao Mi, Zhengwen Yang, Lana McClements, Steven J. Langford, Jiayan Liao   +6 more
wiley   +1 more source

Repeated quantum error correction on a continuously encoded qubit by real-time feedback. [PDF]

Nat Commun, 2016
Cramer J, Kalb N, Rol MA, Hensen B, Blok MS, Markham M, Twitchen DJ, Hanson R, Taminiau TH.   +8 more
europepmc   +1 more source

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

Advanced Science, EarlyView.
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li, Cheng Chen, Roland J.‐M. Pellenq, Zongjin Li, Jiaping Liu   +4 more
wiley   +1 more source

Liquid‐Metal Interfacial Chemistry for Crystal and Defect Engineering in Two‐Dimensional Post‐Transition‐Metal Materials

Advanced Science, EarlyView.
Liquid‐metal interfaces provide dynamic reaction environments in which crystal growth, composition, and defect formation are intrinsically coupled. This Review reveals how interfacial oxidation, alloy thermodynamics, elemental migration, atmosphere, and processing govern defects in 2D post‐transition‐metal materials, and how these defects can be ...
Zhejun Hong, Mohammad B. Ghasemian, Chung Kim Nguyen, Huy Hoang Nguyen, Kourosh Kalantar‐Zadeh, Torben Daeneke, Nitu Syed, Ali Zavabeti   +7 more
wiley   +1 more source

Quantified convergence of general homodyne measurements with applications to continuous variable quantum computing. [PDF]

J Phys A Math Theor
Knill E, Shojaee E, van Meter JR, Kyle A, Glancy S.   +4 more
europepmc   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States. [PDF]

ACS Omega
Sree KCS, Shankar V.
europepmc   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source