Results 201 to 210 of about 201,984 (259)

Memristor‐Driven Active‐Matrix Organic Light‐Emitting Diode for Energy Efficient and High‐Resolution Displays

Advanced Functional Materials, EarlyView.
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim, Nahyun Kim, Seok Hee Hong, Ho Jin Lee, Jin Suk Oh, Jae Seong Park, Tae Geun Kim   +6 more
wiley   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Transfer Printing and Reconfiguration of Soft Electronics Using Digital Microfluidics and Laser Machining

Advanced Functional Materials, EarlyView.
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen, Chi Cong Nguyen, Tran Bach Dang, Phuoc Thien Phan, Jordan Thorpe, Michael Listyawan, Nhat Minh Doan, Sinuo Zhao, Hongru Chen, Trung Thien Hoang, Mingsheng Xu, Jisheng Han, Thanh Nho Do, Adam Hill, Timothée Mouterde, Hoang‐Phuong Phan   +15 more
wiley   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

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Leverage, excess leverage, and future returns

Review of Accounting Studies, 2011
We examine the cross-sectional relation between leverage and future returns while considering the dynamic nature of capital structure and potentially delayed market reactions. Prior studies find a negative relation between leverage and future returns that contradicts standard finance theory.
Judson Caskey, Caskey Judson
exaly   +2 more sources

Leverage and productivity [PDF]

Journal of Development Economics, 2022
Abstract This paper argues that earnings-based borrowing is important for understanding the extent to which financial frictions lower aggregate productivity (TFP). It builds a general equilibrium model of misallocation due to financial frictions wherein firms borrow by pledging assets and earnings.
openaire   +1 more source

Leveraged Loans: Is High Leverage Risk Priced in?

SSRN Electronic Journal, 2020
The economic downturn caused by the Covid-19 pandemic accentuates extant concerns about the leveraged loan market. Using a novel dataset, we show that leveraged loan spreads have declined for nonbank-facilities since the introduction of the Interagency Guidance on Leveraged Lending (IGLL) and the ensuing “frequently asked questions for implementing the
Newton, David P, Ongena, Steven, Xie, Ru, Zhao, Binru   +3 more
openaire   +1 more source

Leverage [PDF]

The Journal of Finance, 1991
In his 1990 Nobel Prize address, the “father of modern finance” begins by discussing the benefits of debt financing and hen goes on to discuss potential costs. Although certainly capable of excesses, private capital markets have self‐correcting mechanisms that limit corporate “overleveraging.” Contrary to popular perception, corporate leveraging does ...
openaire   +1 more source