Results 251 to 260 of about 540,625 (369)

Atomically Dispersed Transition Metals on Holey Graphyne as an Efficient Electrocatalyst for Nitrogen Reduction Reactions

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Transition metal‐decorated holey graphyne (TM@hGY) catalysts are evaluated for electrochemical nitrogen reduction. Cr@hGY demonstrates exceptional catalytic activity with a limiting potential of −0.34 V, exhibiting high selectivity for ammonia synthesis and low hydrogen evolution, offering a promising strategy for efficient, sustainable ammonia ...
Mihir Ranjan Sahoo   +3 more
wiley   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said   +2 more
wiley   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

open access: yesAIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana   +3 more
wiley   +1 more source

A constructive method to determine the total vertex irregularity strength of two flower graph variants. [PDF]

open access: yesMethodsX
Hinding N   +6 more
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Computational analysis of stochastic delay dynamics in maize streak virus. [PDF]

open access: yesPLoS One
Iqbal S   +6 more
europepmc   +1 more source

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

open access: yesAdvanced 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

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