Results 201 to 210 of about 155,735 (298)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Particle peak velocity prediction based on risk-oriented hybrid ensemble learning. [PDF]

Sci Rep
Ge L, He J, Zhang Z, Yin L, Jia S, Zhao Y.   +5 more
europepmc   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

An intelligent auxiliary diagnostic system for early osteoporosis screening using stacking ensemble learning. [PDF]

BMC Med Inform Decis Mak
Wang Q, Liu J, Zhu M, Ye HY, Shang Y.
europepmc   +1 more source

Engineering Na‐Rich P2‐Type Layered Oxides Through Li/Ti Dual Doping for Oxygen Redox Activation and Superior Structural Stability

Advanced Energy Materials, EarlyView.
P2‐type sodium layered oxides have potential for high‐voltage operation but suffer from structural instability and capacity fading. This work demonstrates that synergistic Li and Ti co‐doping enhances sodium inventory, suppresses detrimental phase transitions, and activates reversible lattice oxygen redox.
Rishika Jakhar, Shrestha Ghosh, Adesh Rohan Mishra, Shristi Pradhan, Debalina Sarkar, Yuanlong Bill Zheng, Zengqing Zhuo, Tianyi Li, Lu Ma, Minghao Zhang, Shyue Ping Ong, Matthew Li, Leeann Sun, Prabhat Thapliyal, Jing Wang, Abhik Banerjee, Ying Shirley Meng   +16 more
wiley   +1 more source

Improving maize LAI estimation by integrating multispectral imagery and digital surface models with ensemble learning. [PDF]

Front Plant Sci
Li W, Lou S, He J, Zhao J, Liu X, Fu G, Pan K, Li T.   +7 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Beyond Descriptor‐Based AI Design: Sp2‐Hybridized Branched Side Chains Enable Pre‐Aggregation–Driven Seeding Effects in Green‐Solvent‐Processed Organic Solar Cells

Advanced Energy Materials, EarlyView.
sp2‐hybridized branched side chains are introduced as a new molecular design for NFAs, YBOV, inducing strong solution‐state pre‐aggregation. This pre‐aggregation enables universal seeding motifs, highly ordered film growth, and overcoming the intrinsic current–voltage trade‐off, achieving 19.67% efficiency via green‐solvent processing beyond descriptor‐
Seokhwan Jeong, Donghoo Won, Zhe Sun, Chihyung Lee, Jaewook Kim, Seunglok Lee, Sangjin Yang, Jieun Kim, Keonho Yoon, Dong Young Kim, Yongjoon Cho, Seung‐Jae Shin, Hee‐Seung Lee, Doo‐Hyun Ko, Changduk Yang   +14 more
wiley   +1 more source

Harnessing Sequence Embedding and Ensemble Learning to Identify Antifungal Peptides with Low Hemolytic Risk. [PDF]

ACS Omega
Lin CY, Cheng WC, Chen UL, Lin TT, Hsu LH, Shih YH, Lu IH, Chen YL, Chen SH.   +8 more
europepmc   +1 more source