Results 171 to 180 of about 27,266 (287)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Highly stable two-level current fluctuation in complex oxide heterostructures. [PDF]

Nat Commun
Kim D, Lee JW, Lim J, Choi S, Acharya K, Oh S, Oh J, Paudel TR, Yang Y, Eom K, Lee S, Lee H.   +11 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, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Spatially resolved random telegraph fluctuations of a single trap at the Si/SiO₂ interface. [PDF]

Proc Natl Acad Sci U S A
Cowie M, Constantinou PC, Curson NJ, Stock TJZ, Grütter P.   +4 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Stress Engineering of Magnetization Fluctuation and Noise Spectra in Low-Barrier Nanomagnets Used as Analog and Binary Stochastic Neurons. [PDF]

Micromachines (Basel)
Rahman R, Bandyopadhyay S.
europepmc   +1 more source

Controlled Interfacial Stress Platform for Electrochemical‐Mechanical Coupling Measurements

Advanced Energy Materials, EarlyView.
Understanding electrochemical‐mechanical coupling in solid‐state batteries is vital for predicting their performance, degradation, and safety. Conventional screw‐jig platforms provide data but lack insights into stress effects on individual couplings.
Bhuvsmita Bhargava, Yueming Song, M. Florencia Petracci, Lane Crofton, David M. Stewart, Taeho Jung, Zoey Warecki, A. Alec Talin, Gary W. Rubloff, Paul Albertus   +9 more
wiley   +1 more source

Decoding stimulus-specific regulation of promoter activity of p53 target genes. [PDF]

Front Cell Dev Biol
Vigliotti F, Engelmann N, Sinzger-D'Angelo M, Koeppl H, Loewer A.   +4 more
europepmc   +2 more sources

Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression. [PDF]

Nat Commun
Nicoll AG, Szavits-Nossan J, Evans MR, Grima R.   +3 more
europepmc   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source