Results 171 to 180 of about 809,817 (311)

Atomic Layer Deposition of Disordered p‐Type SnO Using a Heteroleptic Tin(II) Precursor: Influence of Disorder on P‐Channel SnO Thin‐Film Transistor Characteristics

open access: yesAdvanced Electronic Materials, EarlyView.
Disordered p‐type SnO thin‐films are deposited via atomic layer deposition using a novel heteroleptic precursor. These films enable low‐temperature fabrication of thin‐film transistors with excellent stability and mobility. Their potential compatibility with flexible substrates and integration with n‐type IGZO transistors makes them candidates for ...
Benjamin J. Peek   +15 more
wiley   +1 more source

Staffing: ‘The Part-Time Crisis in the Classroom’

open access: yesABO : Interactive Journal for Women in the Arts 1640-1830, 2012
Judith Bailey Slagle
doaj   +1 more source

Budgets, Budgeting, and Books

open access: yesAgainst the Grain, 2004
Diercks, Thelma, Halloran, Daniel P.
openaire   +4 more sources

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

open access: yesAdvanced 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

Reply to Pernet et al.: Mesocosm experiment reveals the carbon removal mechanisms in oyster farming. [PDF]

open access: yesProc Natl Acad Sci U S A
Dong SL   +6 more
europepmc   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

open access: yesAdvanced 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

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