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 +10 more
wiley +1 more source
Commissioning and performance evaluations of the electron Monte Carlo algorithm in a new commercial treatment planning system. [PDF]
J Appl Clin Med PhysWang F +5 more
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 +4 more
wiley +1 more source
A Monte Carlo based dose verification tool for an HDR Ir-192 brachytherapy source and its evaluation on extremity malignancies. [PDF]
J Appl Clin Med PhysLi P +10 more
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 +14 more
wiley +1 more source
An analytical framework for efficient and precision-controlled Monte Carlo simulation of heterogeneous targeted alpha therapy microdosimetry. [PDF]
Med PhysZhu J, Cao S, Li X, Qi Y, Chen Z.
europepmc +1 more source
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 +6 more
wiley +1 more source
Applying Monte Carlo Method for Straight-Line Model Sensor Calibration. [PDF]
Sensors (Basel)Ramos PM, Janeiro FM.
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 +3 more
wiley +1 more source
Free Energy Differences and Coexistence of Clathrate Structures II and H via Lattice-Switch Monte Carlo. [PDF]
J Chem Theory ComputMoro OS, Wilding NB, Ballenegger V.
europepmc +1 more source