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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 +6 more
wiley +1 more source

Wood‐Based Bioelectronics: Lignosulfonate‐Based Conductive Biocomposites for Paper Organic Electrochemical Transistors

Advanced Electronic Materials, EarlyView.
Biodegradable wood‐based bioelectronics are realized by integrating poly (2,3‐ethylenedioxythiopene:lignosulfonate (PEDOT:LigS) as a mixed ionicelectronic channel in organic electrochemical transistors fabricated on paper substrates. The biocomposite exhibits high conductivity, biocompatibility, and strong transistor performance, while devices built on
Katharina Matura +8 more
wiley +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

Macromolecular Architecture-Directed Crystallization: Heterogeneous and Homogeneous Crystallization in Miktoarm Star Copolymers. [PDF]