Results 71 to 80 of about 2,092 (179)

Ferroelectricity in Antiferromagnetic Wurtzite Nitrides

Advanced Functional Materials, EarlyView.
We establish MnSiN2${\rm MnSiN}_2$ and MnGeN2${\rm MnGeN}_2$ as aristotypes of a new multiferroic wurtzite family that simultaneously exhibits ferroelectricity and antiferromagnetism with altermagnetic spin splitting. By strategically substituting alkaline‐earth metals, we predict new materials with coexisting switchable polarization, spin texture, and
Steven M. Baksa, Lin‐Ding Yuan, Stephen D. Wilson, James M. Rondinelli   +3 more
wiley   +1 more source

Robust spatial phase prediction from paired intensities using multi-scale wavelets and aberration sensing network. [PDF]

Biomed Opt Express
Huang Y, Zhang H, He Y, Yang Z, Liu X.
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Wavelength dependence of fine spatial resolution in human vision. [PDF]

Atten Percept Psychophys
Buabeng Y, Hammond BR.
europepmc   +1 more source

Tough Injectable Hydrogels Enabled by Integrating Rigid Homogeneous Framework With Flexible Chains

Advanced Functional Materials, EarlyView.
Tough injectable hydrogels are constructed by integrating a rigid, homogeneous hyaluronic acid framework with flexible long‐chain connectors. This framework–flexible structure simultaneously enhances network uniformity and promotes effective energy dissipation by enlarging plastic deformation zones under compression.
Rijian Song, Runqi Zhu, Cameron Milne, Melissa Johnson, Chunyu Zhao, Qiang Geng, Yinghao Li, Jing Lyu, Qiang Li, Sigen A, Wenxin Wang   +10 more
wiley   +1 more source

Early Detection Intervals for Evaluating Event-Based Surveillance System: Reference Dataset Development Study. [PDF]

JMIR Public Health Surveill
Shen Y, AbdelMalik P, Steele RJ, Buckeridge DL.   +3 more
europepmc   +1 more source

Unlocking Multi‐Valley Energy Pockets and Interface‐Induced Phonon Filtering in InSb Thermoelectrics by Reaction‐Driven Interface Engineering

Advanced Functional Materials, EarlyView.
InSb, a narrow‐bandgap semiconductor with high carrier mobility, is promising for thermoelectric energy conversion but suffers from high lattice thermal conductivity and strong bipolar conduction. Here, in situ interface engineering using Co2O3 nanoprecursors forms hierarchical CoSbx/In2O3/CoSb3 heterostructures that enhance phonon scattering and ...
Jiwu Xin, Xiao Yang, Xiao‐Lei Shi, Chengyun Xu, Xi Ling, Pengyu Zhang, Jinfeng Dong, Yong Du, Haisheng Chen, Ting Zhang, Zhi‐Gang Chen   +10 more
wiley   +1 more source

Blocked Two-Level Regular Designs with Individual Aliased Effect Number Pattern. [PDF]

Entropy (Basel)
Han M, Zhao S, Sun T.
europepmc   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source