Results 191 to 200 of about 931,046 (255)

Exploring optimal control strategies in a nonlinear fractional bi-susceptible model for Covid-19 dynamics using Atangana-Baleanu derivative. [PDF]

Sci Rep
Butt AIK, Ahmad W, Rabbani HG, Rafiq M, Ahmad S, Ahmad N, Malik S.   +6 more
europepmc   +1 more source

Graphene (0002)/Diamond (111) Heterojunction with High Piezoresistive Response

Advanced Science, Volume 13, Issue 50, 7 September 2026.
Graphene/diamond heterostructures show promise as silicon alternatives for semiconductors, but high‐quality integration is challenging. Thermal electron irradiation enables covalent bonding; lonsdaleite acts as an intermediate. The heterostructure exhibits a high piezoresistive response (gauge factor −1149) associated with electron‐rich layers and ...
Xueyu Zhang, Kun Guo, Zhigang Gai, Tianxiao Guo, Yuan Gao, Jiancai Leng, Mei Zhang, Tonggang Jiu, Yibao Wang, Shousheng Liu, Xin Jiang   +10 more
wiley   +1 more source

Effective multi-attribute group decision-making approach to study astronomy in the probabilistic linguistic q-rung orthopair fuzzy VIKOR framework. [PDF]

Heliyon
Naz S, Fatima A, But SA, Pamucar D, Zamora-Musa R, Acosta-Coll M.   +5 more
europepmc   +1 more source

Two‐Dimensional Materials for Flexible Neuromorphic Devices: Materials, Engineering Strategies, Architectures, and Emerging Applications

Advanced Electronic Materials, Volume 12, Issue 17, 7 September 2026.
This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley   +1 more source

Theoretical and mathematical codynamics of nonlinear tuberculosis and COVID-19 model pertaining to fractional calculus and probabilistic approach. [PDF]

Sci Rep
Rashid S, Hamidi SZ, Akram S, Raza MA, Elagan SK, Alsubei BMT.   +5 more
europepmc   +1 more source

Molecular Building‐Block Architecture Regulates the Formation and Mechanical Performance of Depolymerizable Polymer Networks: An In Silico Study

Aggregate, Volume 7, Issue 9, September 2026.
Molecular building‐block architecture fundamentally influences the mechanical performance of depolymerizable polymer networks. This work constructs networks via step‐growth polymerization and provides a systematic and mechanistic molecular‐level picture of how building‐block architecture controls gelation, network organization, and deformation ...
Ji‐Yuan Xing, Sheng Li, Er‐Kang Wang, Jin Wang   +3 more
wiley   +1 more source

Evolutionary origins of temporal discounting: Modeling how time and uncertainty constrain optimal decision-making strategies across taxa. [PDF]

PLoS One
Villmoare B, Klein D, Liénard P, McHale TS.   +3 more
europepmc   +1 more source

Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding

Advanced Intelligent Systems, Volume 8, Issue 9, September 2026.
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga, Panagiotis Kalozoumis, Panagiotis Vartholomeos, Carlo Seneci, Kawal Rhode, Christos Bergeles   +5 more
wiley   +1 more source

Spin-Based Quantum Energy Devices: From Quantum Thermal Machines to Quantum Batteries. [PDF]

Entropy (Basel)
Chand S, Grazi R, Traverso Ziani N, Ferraro D.   +3 more
europepmc   +1 more source

Machine Learning for Synthetic Organic Chemistry: Methods, Applications, and Best Practices

Angewandte Chemie Novit, Volume 2, Issue 3, September 2026.
Artificial intelligence (AI) and machine learning (ML) are increasingly reshaping experimental chemistry. This review maps the challenges of synthetic organic chemistry to modern digital tools that can help address them. While focusing on the practical application of ML tools in real‐world laboratory settings, we outline prerequisites, emerging ...
Niklas Hölter, Felix Katzenburg, Florian Boser, Frank Glorius   +3 more
wiley   +1 more source