Results 141 to 150 of about 296,521 (271)

Life‐Cycle Assessment of Printed Electronic Components ‐ Case Study for Organic Electrochemical Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
This tutorial introduces a practical framework for implementing early‐stage Life‐Cycle Assessment (LCA) in flexible and printed electronics. Using organic electrochemical transistors (OECTs) as a case study, the modular Process‐of‐Record and open‐access inventory provides a rich resource adaptable to a plethora of technologies in printed electronics ...
Laura Teuerle   +6 more
wiley   +1 more source

Decoding Interfacial Charge‐Carrier Dynamics in Integrated Perovskite/Organic Solar Cells via Numerical Modeling

open access: yesAdvanced Energy Materials, EarlyView.
A physical framework is developed based on drift‐diffusion simulations to elucidate the operation of integrated perovskite/organic solar cells (I‐POSCs) through the lens of interfacial charge‐carrier dynamics. A stepwise analysis establishes key links between carrier transport/recombination phenomena and device performance metrics, offering valuable ...
Jingjing Tian   +5 more
wiley   +1 more source

Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes

open access: yesAdvanced Energy Materials, EarlyView.
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran   +7 more
wiley   +1 more source

Construction of an enterprise-level global supply chain database. [PDF]

open access: yesNat Commun
Katafuchi Y   +5 more
europepmc   +1 more source

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

open access: yesAdvanced 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

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