Results 211 to 220 of about 357,914 (286)

Selective Charge Extraction Allows Fast Photomultiplication and Imaging in Rigid and Ultra‐Flexible SWIR Organic Photodiodes

Advanced Energy Materials, EarlyView.
SWIR donor polymer TQ‐3T allows photomultiplication in OPD in 1:1 ratio with NFA Y6, achieving EQEs > 1100% at ‐10 V. Microseconds response times are retained, amongst the lowest for photomultiplication. As proof of concept, we demonstrate ultrathin and flexible PM‐OPDs based on our TQ‐3T:Y6 as a flexible pulse oximeter as well as a conformable image ...
Matilde Brunetta, Zhuoran Qiao, Davide Nodari, Kosei Sasaki, Francesco Furlan, Martina Rimmele, Hongki Kim, Hongting Chen, Yusaku Tagawa, Adam Marsh, Rushil Vasant, Sang Do, Xabier Rodríguez‐Martínez, Anirudh Sharma, Christos L. Chochos, Jaime Martin, Martin Heeney, Koen Vandewal, Derya Baran, Thuc‐Quyen Nguyen, Bob C. Schroeder, Takao Someya, Tomoyuki Yokota, Nicola Gasparini   +23 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Quantum communication with coherent states of light. [PDF]

Philos Trans A Math Phys Eng Sci, 2017
Khan I, Elser D, Dirmeier T, Marquardt C, Leuchs G.   +4 more
europepmc   +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

Chip-integrated visible-telecom photon pair sources for quantum communication. [PDF]

Nat Phys, 2019
Lu X, Li Q, Westly DA, Moille G, Singh A, Anant V, Srinivasan K.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Relativistic quantum key distribution system with one-way quantum communication. [PDF]

Sci Rep, 2018
Kravtsov KS, Radchenko IV, Kulik SP, Molotkov SN.   +3 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source