Results 161 to 170 of about 118,175 (305)

Development of digital hardware for a spiking image recognition network employing a novel burst-based reinforcement learning approach. [PDF]

Sci Rep
Nazari S, Amiri M.
europepmc   +1 more source

Dual‐Mode Film Based on Highly Scattering Nanofibers and Upcycled Chips‐Bags for Year‐Round Thermal Management

Advanced Functional Materials, EarlyView.
Intelligent radiative cooling devices, adaptable to various weather conditions, have the potential for year‐round energy savings. This study introduces a sustainable dual‐mode film made from polycaprolactone nanofibers and upcycled chip bags for effective thermal management.
Qimeng Song, Stefan Rettinger, Chengzhang Xu, Ulrich Mansfeld, Markus Retsch   +4 more
wiley   +1 more source

Correction: Yuan et al. Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete. <i>Materials</i> 2022, <i>15</i>, 2823. [PDF]

Materials (Basel)
Yuan X, Tian Y, Ahmad W, Ahmad A, Usanova KI, Mohamed AM, Khallaf R.   +6 more
europepmc   +1 more source

Rail transport in the system of Russian national input-output tables [PDF]

, 2019
Maksim Pyataev
openalex   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

HaploVar: An R package for defining local haplotype variants for trait association and trait prediction analyses. [PDF]

Bioinformatics
MacNish TR, Al-Mamun HA, Bergmann T, Bestry MS, Marsh JI, Edwards D.   +5 more
europepmc   +1 more source

Construction of National Input-Output Tables and Agricultural Input-Output Tables in Thailand

Input-Output Analysis, 2007
openaire   +2 more sources

INTENSITIES OF RESOURCE CONSUMPTION BASED ON 2011 INPUT-OUTPUT TABLE AND EVALUATION OF RESOURCE PRODUCTIVITY OF BUILDINGS

, 2020
Keizo Yokoyama
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Environmental Impact of Machinery and Equipment: A Comparison between EXIOBASE, National Environmentally Extended Input-Output Models, and Ecoinvent. [PDF]

Environ Sci Technol
Liu Y, Jiang M, Hertwich EG.
europepmc   +1 more source