Results 141 to 150 of about 16,442 (206)

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

AIChE 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, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Block identification and stability analysis of underground stope with multi-working face. [PDF]

PLoS One
Zhang M, Tie C, Wang B, Yang Y, Wang C, Sun W, Xia J, Zhou X.   +7 more
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced 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

In their own words: A qualitative examination of student experiences with high-impact practices during the second-year transition. [PDF]

PLoS One
Zuckerman AL, Stocker GJ, Mercer CN, Tsai RG, Bussey TJ, Lo SM.   +5 more
europepmc   +1 more source

Category theory : its mathematical achievements, its epistemological implications : a historical and philosophical tribute

, 2004
Ralf Krömer, HEINZMANN, Gerhard
openalex   +1 more source

Mathematical Foundations of Spacetime State Computing - Integrating Category Theory and Geometric Algebra. (IEEE)

Yoon A Limsuwan
openalex   +1 more source

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

Advanced 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

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Development of a Computerized Adaptive Assessment and Learning System for Mathematical Ability Based on Cognitive Diagnosis. [PDF]

J Intell
Zhang Y, Zhang L, Zhang H, Wu X.
europepmc   +1 more source

Category theory as a mathematical framework in spatial analysis; Challenges and opportunities [PDF]

Abouzar Ramezani
openalex   +1 more source