Results 61 to 70 of about 971 (209)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

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

2D Materials Empowered Radar Absorbing Materials: A Review

Advanced Electronic Materials, EarlyView.
Recent progress in 2D materials empowered radar absorbing materials (RAMs) is reviewed, highlighting four key structural design strategies that enhance electromagnetic wave absorption. Porous structures, heterogeneous interfaces, printed metamaterials, and tunable metasurfaces are compared in terms of their governing physics, fabrication complexity ...
Yujie Zhong, Shuncong Zhong, Yi Huang, Shan‐Tung Tu, Minghong Wu   +4 more
wiley   +1 more source

Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory

Advanced Electronic Materials, EarlyView.
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Nickel‐Free Synthesis of Poly(pyrene‐4,5,9,10‐tetraone) for Sodium‐based Batteries: Insights into Electrode Architecture and Reversible Na‐ion Insertion

Advanced Energy Materials, EarlyView.
A nickel‐free and practical synthesis strategy to poly(pyrene tetraone) and its integration with a percolated CNTs/Ketjen Black network enables stable cycling and efficient energy storage in a sodium‐based batteries. This work demonstrates how controlling polymer structure and electrode architecture improves ion transport and mitigates dissolution in ...
Md. Adil, Robin Wessling, Nico Kokott, Elena Mena‐Osteritz, Benedikt Prifling, Markus Osenberg, Thomas Diemant, Volker Schmidt, Ingo Manke, Birgit Esser   +9 more
wiley   +1 more source

Regulation of Crystallization Kinetics via Zwitterionic Additive for Efficient and Operationally Stable Formamidinium Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
This study introduces a zwitterionic additive, Cl‐PPS, to regulate crystallization kinetics and passivate defects in formamidinium‐based perovskite solar cells. Cl‐PPS promotes direct α‐phase formation, minimizes necessary MACl loading, and induces highly crystalline, vertically oriented grains.
Shuai Li, Bohong Chang, Jianqiu Gong, Xianglang Sun, Francesco Vanin, Chunlei Zhang, Zexin Yu, Ning Wang, Dong Zhang, Baoze Liu, Liangchen Qian, Xinhui Lu, Haipeng Lu, Mingjie Li, Danpeng Gao, Bo Li, Zonglong Zhu   +16 more
wiley   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source