Results 221 to 230 of about 1,986,691 (307)

A closed-loop framework for descriptor-empowered exploration of high-activity Co-based quaternary molten alloy catalysts for methane pyrolysis. [PDF]

Chem Sci
Liu H, Cheng Z, Huang X, He Y, Wang W, Yang W, Li J, Huang Z, Zhao D, Du J, Lin T, Kim SK, Li H, Tang Y, Chen Y.   +14 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Tuning Magnetoelastic Transition and Magnetostrictive Properties of FeRh Alloy by Fe Substitution for Rh. [PDF]

Materials (Basel)
Yang M, Wang X, Wang W.
europepmc   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Recent advances in nanoalloys for selective electrochemical CO₂ reduction. [PDF]

Nanoscale Adv
Nguyen KQ, Tran HH, Ngo HT, Pham VV.
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Tunable mechanical, corrosion, and antimicrobial performance in multifunctional Cu_x‑Cr-Fe-Mn-Ni high-entropy alloys and E-beam coatings. [PDF]

Sci Rep
Postolnyi B, Mitrica D, Sobetkii A, Talipova AB, Rokosz K, Buranych V, Mosinoiu LF, Kusý M, Borodich FM, Levchenko VA, Cursaru LM, Pogrebnjak A.   +11 more
europepmc   +1 more source

Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications

Advanced Science, EarlyView.
This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley   +1 more source