Results 161 to 170 of about 46,815 (285)

Where Are We and Where Are We Going? A GME Program Scorecard for Continuous Programmatic Improvement. [PDF]

open access: yesJ Grad Med Educ
Varman PM   +5 more
europepmc   +1 more source

“Lithium‐Free” Anode Solid‐State Batteries Enabled by 3D Structured Miec Garnet

open access: yesAdvanced Energy Materials, EarlyView.
“Lithium‐free” anode solid‐state batteries can maximize energy density by eliminating excess lithium metal but are limited by unstable lithium nucleation and poor lithium reversibility at solid interfaces. A mixed ionic and electronic conducting garnet scaffold promotes uniform lithium deposition within a three‐dimensional porous framework at low ...
George V. Alexander   +6 more
wiley   +1 more source

Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices

open access: yesAgribusiness, EarlyView.
ABSTRACT Voluntary private carbon initiatives (VPCIs) promote the implementation of agricultural conservation practices that mitigate emissions of greenhouse gases (GHGs) via financial incentives to participating farmers. Simultaneously, an array of public policies supports the adoption of conservation practices through technical and financial ...
Oranuch Wongpiyabovorn   +1 more
wiley   +1 more source

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

open access: yesAIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

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