Results 121 to 130 of about 14,877,607 (296)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

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

ANALISIS PERILAKU PERAMBATAN RETAK BERDASARKAN COHESIVE ZONE MODEL [PDF]

, 2017
Munculnya retak pada struktur dapat disebabkan oleh konsentrasi tegangan yang sangat tinggi pada saat proses pemberian beban. Salah satu penyebab konsentrasi tegangan tinggi adalah bentuk geometri dari struktur atau terdapatnya retak pada struktur ...
Rinaldi, Putra Bahari
core   +1 more source

Sensitivity of cohesive zone models in CFRP delamination modeling

Theoretical and Applied Fracture Mechanics
[EN] Composite laminates such as carbon fiber reinforced polymers (CFRPs) are highly susceptible to delamination damage, which is considered one of the most important failure mechanisms in this type of material. In this work, a parametric study of one of the most used numerical methods to simulate this type of fracture is developed: the cohesive zone ...
Calvo, Jose Vicente, Quiñonero-Moya, Antonio Ramón, Feito-Sánchez, Norberto, Tarancón Caro, José Enrique, Giner Maravilla, Eugenio   +4 more
openaire   +2 more sources

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Structural cohesive element for the modelling of delamination in composite laminates without the cohesive zone limit

Engineering Fracture Mechanics
Delamination is a critical mode of failure that occurs between plies in a composite laminate. The cohesive element, developed based on the cohesive zone model, is widely used for modeling delamination. However, standard cohesive elements suffer from a well-known limit on the mesh density-the element size must be much smaller than the cohesive zone size.
Xiaopeng Ai, Boyang Chen, Christos Kassapoglou   +2 more
openaire   +2 more sources

Verification of a cohesive zone model for ductile fracture

, 1997
In the present paper, ductile crack growth in an aluminium alloy is numerically simulated using a cohesive zone model under both plane stress and plane strain conditions for two different fracture types, shear and normal modes.
Lin, G., GKSS-Forschungszentrum Geesthacht GmbH (Germany), Yuan, H., Cornec, A.   +3 more
core  

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

Hydrogen Embrittlement at Cleavage Planes and Grain Boundaries in Bcc Iron-Revisiting the First-Principles Cohesive Zone Model. [PDF]

Materials (Basel), 2020
Guzmán AA, Jeon J, Hartmaier A, Janisch R.   +3 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source