Results 111 to 120 of about 16,616 (239)
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
The Astrophysical JournalWe present the largest catalog to date of triply ionized carbon (C iv ) absorbers detected in quasar spectra from the Dark Energy Spectroscopic Instrument.
Abhijeet Anand +41 more
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
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 +19 more
wiley +1 more source
Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Recent food price inflation has placed substantial pressure on household budgets, food security, and mental well‐being. Using Household Pulse Survey data, we combine k‐modes clustering and Double Machine Learning to identify distinct household coping groups and examine differences in how households respond to rising food prices across groups ...
Yuxiang Zhang, Yizao Liu
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT In emerging economies where smallholder farming dominates agricultural production, agribusinesses serve as critical intermediaries linking smallholders to broader markets, and their resilience directly affects agricultural sustainability. Short‐term‐oriented capital is reluctant to adequately finance highly uncertain and cyclical agricultural ...
Siyuan Lyu +5 more
wiley +1 more source
Simple estimate of the width in Gaussian kernel with adaptive scaling technique
Simple estimate of the width in Gaussian kernel with adaptive scaling techniqueThis paper presents a simple method to estimate the width of Gaussian kernel based on an adaptive scaling technique. The Gaussian kernel is widely employed in radial basis function (RBF) network, support vector machine (SVM), least squares support vector machine (LS-SVM), Kriging models, and so on.
openaire
Advanced Intelligent Discovery, EarlyView.Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Simple Estimate of the Width in the Gaussian Kernel with Adaptive Scaling Technique
13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, 2010 Satoshi Kitayama +2 more
openaire +1 more source