Results 171 to 180 of about 3,744,625 (291)

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Data-driven prediction of micro-piled raft load-settlement using machine learning and Monte Carlo simulation. [PDF]

Sci Rep
El Gendy M.
europepmc   +1 more source

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

Forensic integrity of blood alcohol sampling in the emergency department, Part II: Establishing quality goals of turnaround time with Monte Carlo simulation. [PDF]

Biochem Med (Zagreb)
Ialongo C.
europepmc   +1 more source

Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate

Advanced Electronic Materials, EarlyView.
Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino, Diego Ferri, Claudio Bonizzoni, Marco Affronte, Shuvaraj Ghosh, Stefania Benedetti, Alberto Rota, Antonio Ballestrazzi, Luca Pasquali, Ahmed Rasheed, Luisa Petti, Hafiza Faiqa Maqsood, Niko Münzenrieder, Roberto Rosa, Giuseppe Cantarella   +14 more
wiley   +1 more source

Does Increasing Sample Size Inevitably Lead to Statistical Significance? Insights From a Monte Carlo Simulation Study for Medical Research Design. [PDF]

J Eval Clin Pract
Li M, Yang S, Wang Y, Xin Z, Sun Y, Li Y, Gao L, Xu Z, Bi J.   +8 more
europepmc   +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 initial <i>G</i> value of hydrated electrons updated by a dynamic Monte Carlo simulation. [PDF]

RSC Adv
Kai T, Toigawa T, Matsuya Y, Hirata Y, Tsuchida H, Yokoya A.   +5 more
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Heavy Metal Pollution and Risk Assessment of Sediments in Liuye Lake Based on Monte Carlo Simulation. [PDF]

Toxics
Li G, Xu Z, Zheng J, Xie Y, Li L, Peng Y, Luo K, Liu Y.   +7 more
europepmc   +1 more source