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
Advanced Electronic Materials, EarlyView.This work proposes a machine‐vision‐based tool for predicting the thickness of in‐line deposited perovskite films, enabling real‐time decision making to control deposition parameters. The workflow integrates perovskite deposition and annealing with uniformity analysis and minimodule fabrication.
Juan Pablo Velásquez +9 more
wiley +1 more source
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
Advanced Electronic Materials, EarlyView.This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Development of the generalized ridge estimator for the Poisson-Inverse Gaussian regression model with multicollinearity. [PDF]
Sci RepAlmulhim FA +5 more
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Monitoring pilots' mental workload in real flight conditions using multinomial logistic regression with a ridge estimator. [PDF]
Front Robot AIHaseeb M +5 more
europepmc +1 more source
Acoustic Impedance‐Tailored High‐Performance Ultrasound‐Driven Triboelectric Nanogenerators
Advanced Energy Materials, EarlyView.An acoustic impedance–mismatched triboelectric nanogenerator is presented for efficient ultrasound energy harvesting in implantable medical devices. Concave and convex membrane patterning induces controlled acoustic impedance mismatch, which boosts output by ∼200% and ensures stable operation over 100 million cycles and six weeks in vivo, highlighting ...
Young‐Jun Kim +8 more
wiley +1 more source
Bootstrap-quantile ridge estimator for linear regression with applications. [PDF]
PLoS OneDar IS, Chand S.
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 +4 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Oxygen substitution in NaTaOxCl6‐2x drives structural evolution from isolated [TaCl6]– octahedra, through oxygen‐bridged [Ta2OCl10]2– dimers, toward extended trans‐[TaO2Cl4]3– chain‐like arrangements. At intermediate compositions, zero‐dimensional corner‐sharing motifs are proposed to create a flexible, disordered framework that peaks ionic ...
Justin Leifeld +17 more
wiley +1 more source