Results 131 to 140 of about 49,141 (264)

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

A generalized logistic-logit function and its application to multi-layer perceptron and neuron segmentation. [PDF]

Front Artif Intell
Gu W, Zhang Y, Muscoloni A, Cannistraci CV.   +3 more
europepmc   +1 more source

Pulse‐Engineered Synaptic Linearity and Non‐Volatile Memory in MoO3/TiO2 Bilayer Memristors for Neuromorphic Image Recognition

Advanced Electronic Materials, EarlyView.
Pulse‐protocol optimization in an Au/MoO3/TiO2/FTO bilayer memristor enables linear analog synaptic conductance modulation along with digital resistive switching for memory. Controlled filament evolution produces stable learning‐forgetting characteristics with low nonlinearity, resulting in significantly enhanced neural network inference accuracy for ...
Girish Chandrashekar, Atul Thakre, R. Thamankar   +2 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Time-series prediction of adverse birth outcomes in the U.S. using multilayer perceptron neural networks. [PDF]

PLOS Digit Health
Hailu BA.
europepmc   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

AIChE Journal, EarlyView.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

Transformer networks enable fast and robust dictionary generation for multiparametric cardiac mapping with variable timing. [PDF]

J Cardiovasc Magn Reson
Calarnou P, George A, Georgantas C, Rocca A, Paffi G, Ogier AC, Hullin R, Richiardi J, van Heeswijk RB.   +8 more
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

مبدأ تحلیل المکونات ونظام کشف التطفل القائم على طبقة متعددة

Al-Rafidain Journal of Computer Sciences and Mathematics, 2013
Najla B. Ibraheem, Muna M. T. Jawhar, Hana M. Osman   +2 more
doaj   +1 more source

Integrating physical modeling with artificial intelligence for predicting fish survival zones in polluted rivers to maintain a sustainable aquaculture industry. [PDF]

Sci Rep
El-Sattar HKA, Elshambakey M, Saleh A, Antar S.   +3 more
europepmc   +1 more source