Results 181 to 190 of about 403 (210)

Novel level and edge-triggered universal shift registers with low latency in QCA technology. [PDF]

Heliyon
Gholamnia Roshan M, Gholami M.
europepmc   +1 more source

First‐Principles Study of Structural, Mechanical, Electronic, Thermodynamical, and Optical Properties of XGaO2 (X = Rb and Cs): Unlocking Its Green Energy Potential

Advanced Physics Research, Volume 5, Issue 9, September 2026.
This study employs density functional theory (DFT) to investigate the structural, mechanical, electronic, optical, and thermodynamic properties of RbGaO2 and CsGaO2. The calculated band structures and band‐edge positions indicate semiconducting behavior and favorable alignment for photocatalytic dye degradation and hydrogen evolution, highlighting ...
Md. Zuel Rana, Md. Saiful Islam, Jahid Hasan, Abdul Barik, Mahamud Hasan Reedoy, Afroza Khatun, Md. Abde Mannaf, Ehesanul Hoq, Neelufar Panna, M. S. Alam   +9 more
wiley   +1 more source

Quantum-inspired modeling of social impact in complex networks with artificial intelligent agents. [PDF]

Sci Rep
Alodjants AP, Tsarev DV, Zakharenko PV, Khrennikov AY, Boukhanovsky AV.   +4 more
europepmc   +1 more source

Confidence Thresholds: Towards an Automated Workflow for Unmarked Wildlife Population Modelling With Camera Trap Data

Ecology and Evolution, Volume 16, Issue 9, September 2026.
Our study explores the application of confidence level thresholds to automated wildlife detections from camera trap data to generate detection histories that could circumvent the need for costly manual review. Our approach employs a study‐specific deep learning ensemble, which is an under‐utilised approach in ecology. Our scripted workflow connects the
Megan Anschau, Simon Denman, Greg Hocking, Grant Hamilton   +3 more
wiley   +1 more source

Multifunctional Guest-Hosting Triple-Stranded Helicates: From Anion Recognition to Quantum Information Applications. [PDF]

Acc Chem Res
Swain A, Novikov V, Roubeau O, Barrios LA, Aromí G.   +4 more
europepmc   +1 more source

Boosting Zinc‐Ion Hybrid Capacitors with Mesoporous Carbon Derived from Highly Graphitized Carbon Quantum Dots

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 5, September 2026.
The work presents an innovative method for the preparation of mesoporous carbon materials (MCs) from highly graphitized carbon quantum dots. The zinc‐ion hybrid capacitors assembled with MCs deliver high rate performance and stability, providing promising advancements for future energy storage solutions.
Guoli Zhang, Huihui Li, Kaiyue Wang, Gang Li, Kaixi Li, Taotao Guan, Kaiying Wang   +6 more
wiley   +1 more source

Novel parallel inputs shift registers with set/reset terminals in QCA nanotechnology. [PDF]

Heliyon
Gholami M, Movahedi M, Amirzadeh Z.
europepmc   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 5, September 2026.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Testing the Conjecture That Quantum Processes Create Conscious Experience. [PDF]

Entropy (Basel)
Neven H, Zalcman A, Read P, Kosik KS, van der Molen T, Bouwmeester D, Bodnia E, Turin L, Koch C.   +8 more
europepmc   +1 more source

Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling

Electroanalysis, Volume 38, Issue 9, September 2026.
The oxygen reduction reaction (ORR) at the proton exchange membrane fuel cells (PEMFC) cathode suffers from sluggish kinetics, high platinum loading requirements, and progressive catalyst degradation. This review examines how artificial intelligence (AI) and machine learning (ML) are reshaping the discovery and durability assessment of ORR ...
Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen   +4 more
wiley   +1 more source