Results 101 to 110 of about 47,910 (262)

Continuous observations of the surface energy budget and meteorology over the Arctic sea ice during MOSAiC. [PDF]

Sci Data, 2023
Cox CJ, Gallagher MR, Shupe MD, Persson POG, Solomon A, Fairall CW, Ayers T, Blomquist B, Brooks IM, Costa D, Grachev A, Gottas D, Hutchings JK, Kutchenreiter M, Leach J, Morris SM, Morris V, Osborn J, Pezoa S, Preußer A, Riihimaki LD, Uttal T.   +21 more
europepmc   +1 more source

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

Vegetation type is an important predictor of the arctic summer land surface energy budget. [PDF]

Nat Commun, 2022
Oehri J, Schaepman-Strub G, Kim JS, Grysko R, Kropp H, Grünberg I, Zemlianskii V, Sonnentag O, Euskirchen ES, Reji Chacko M, Muscari G, Blanken PD, Dean JF, di Sarra A, Harding RJ, Sobota I, Kutzbach L, Plekhanova E, Riihelä A, Boike J, Miller NB, Beringer J, López-Blanco E, Stoy PC, Sullivan RC, Kejna M, Parmentier FW, Gamon JA, Mastepanov M, Wille C, Jackowicz-Korczynski M, Karger DN, Quinton WL, Putkonen J, van As D, Christensen TR, Hakuba MZ, Stone RS, Metzger S, Vandecrux B, Frost GV, Wild M, Hansen B, Meloni D, Domine F, Te Beest M, Sachs T, Kalhori A, Rocha AV, Williamson SN, Morris S, Atchley AL, Essery R, Runkle BRK, Holl D, Riihimaki LD, Iwata H, Schuur EAG, Cox CJ, Grachev AA, McFadden JP, Fausto RS, Göckede M, Ueyama M, Pirk N, de Boer G, Bret-Harte MS, Leppäranta M, Steffen K, Friborg T, Ohmura A, Edgar CW, Olofsson J, Chambers SD.   +73 more
europepmc   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Fast, accurate and accessible calculations of leaf temperature and its physiological consequences with NicheMapR

Methods in Ecology and Evolution
Mechanistic predictions of ecological niches are fundamentally based on energy and mass exchange processes that, to be realistic, must be linked to microclimate and incorporate behaviour and physiology.
Michael R. Kearney, Andrea Leigh
doaj   +1 more source

Parsing the Kinetic Energy Budget of the Ocean Surface Mixed Layer. [PDF]

Geophys Res Lett, 2022
Zippel SF, Farrar JT, Zappa CJ, Plueddemann AJ.   +3 more
europepmc   +1 more source

Millisecond‐Scale Relaxation in Metastable HZO Ferroelectric Capacitors for Bio‐Inspired Temporal Computing

Advanced Electronic Materials, EarlyView.
Through the introduction of a niobium oxide layer into a hafnia ferroelectric capacitor stack, we build a memory device with a strong imprint effect. This imprint leads to a millisecond retention loss that can be tuned by the programming conditions that can be utilized as a scalable, analog hardware time constant for bio‐inspired temporal computing ...
Luca Fehlings, Thomas Mikolajick, Beatriz Noheda, Erika Covi   +3 more
wiley   +1 more source

Impacts of ocean warming and acidification on the energy budget of three commercially important fish species. [PDF]

Conserv Physiol, 2022
Moreira JM, Mendes AC, Maulvault AL, Marques A, Rosa R, Pousão-Ferreira P, Sousa T, Anacleto P, Marques GM.   +8 more
europepmc   +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

Dynamic Energy Budget models: fertile ground for understanding resource allocation in plants in a changing world. [PDF]

Conserv Physiol, 2022
Russo SE, Ledder G, Muller EB, Nisbet RM.   +3 more
europepmc   +1 more source