Results 201 to 210 of about 584,831 (297)

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

FOSTER: A Comprehensive Pipeline for Transabdominal Fetal Pulse Oximetry Validated in a Large Animal Model of Pregnancy. [PDF]

IEEE Trans Biomed Eng
Kasap B, Saffarpour M, Qian W, Joarder RR, Vali K, Ghiasi S.   +5 more
europepmc   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

Advanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang, Kun‐Hao Yu, Ji Yoon Bae, Yunchan Lee, Dorit Aviv, Shu Yang   +5 more
wiley   +1 more source

250 Gb/s All-Optical XNOR Logic Using a Single QD-SOA-MZI: Demonstration and Comprehensive Performance Analysis. [PDF]

Micromachines (Basel)
Kotb A, Zhu B, Cui J, Zoiros KE.
europepmc   +1 more source

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

Advanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou, Yalei Hu, Jie Yu, Naoki Komatsu, Yuta Nishina, Alberto Bianco   +5 more
wiley   +1 more source

ONEST: a web-based platform for the rapid and robust analysis of protein excited states through CEST spectroscopy. [PDF]

Bioinformatics
Choi J, Lee SY, Han K, Carneiro MG, Ryu KS, Lee D.   +5 more
europepmc   +1 more source

Activating a Metallization Switch for Record Hydrogen Evolution in Single‐Atom Modified Polar MOF Piezocatalysts

Advanced Materials, EarlyView.
ABSTRACT Piezocatalytic hydrogen evolution enables the conversion of mechanical energy into chemical fuels, but its efficiency is constrained by a trade‐off between piezoelectric polarization and electronic conductivity. Strong piezoelectric polarization is essential for sufficient driving force, yet highly polar materials typically suffer from poor ...
Chongyan Hao, Xinwei Guan, Yang Wu, Lingfeng Zhu, Yiwen Mai, Thomas Frauenheim, Zhenping Fu, Yalin Lu, Shidong Wang, Hanxing Liu, Hua Hao, Shujun Zhang, Zhenxiang Cheng, Xiaoning Li   +13 more
wiley   +1 more source

An open-access WebApp for inverse Laplace transform analysis of time-domain nuclear magnetic resonance signals. [PDF]

Magn Reson (Gott)
Moraes TB, Von Atzingen GV, Mazzero LP, Mendes WS, Zacharias MB, Cardinali MCB.   +5 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Multivariate Machine Learning Framework for Predicting Electrical Resistivity of Concrete Using Degree of Saturation and Pore-Structure Parameters. [PDF]

Materials (Basel)
Kim Y, Kee SH, Monjardin CEF, Robles KPV.   +3 more
europepmc   +1 more source