[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …
[HTML][HTML] A review of artificial neural networks in the constitutive modeling of composite materials
Abstract Machine learning models are increasingly used in many engineering fields thanks
to the widespread digital data, growing computing power, and advanced algorithms. The …
to the widespread digital data, growing computing power, and advanced algorithms. The …
[HTML][HTML] Recent advances and applications of machine learning in solid-state materials science
One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …
is machine learning. This collection of statistical methods has already proved to be capable …
Opportunities and challenges for machine learning in materials science
Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …
the discovery of novel materials and the improvement of molecular simulations, with likely …
Green algorithms: quantifying the carbon footprint of computation
Climate change is profoundly affecting nearly all aspects of life on earth, including human
societies, economies, and health. Various human activities are responsible for significant …
societies, economies, and health. Various human activities are responsible for significant …
[HTML][HTML] An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
SI Lambert, M Madi, S Sopka, A Lenes, H Stange… - NPJ Digital …, 2023 - nature.com
Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …
[HTML][HTML] Innovations in genomics and big data analytics for personalized medicine and health care: A review
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …
based studies to large-scale, data-driven research. As big data is dependent on the …
[HTML][HTML] Emerging artificial intelligence in piezoelectric and triboelectric nanogenerators
P Jiao - Nano Energy, 2021 - Elsevier
Piezoelectric nanogenerators (PENG) and triboelectric nanogenerators (TENG) have
opened an exciting venue to sustainably harvest electrical energy from the environments …
opened an exciting venue to sustainably harvest electrical energy from the environments …
[HTML][HTML] Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials
We propose a deep neural network (DNN) as a fast surrogate model for local stress
calculations in inhomogeneous non-linear materials. We show that the DNN predicts the …
calculations in inhomogeneous non-linear materials. We show that the DNN predicts the …
Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study
Plain weave composite is a long-lasting type of fabric composite that is stable enough when
being handled. Open-hole composites have been widely used in industry, though they have …
being handled. Open-hole composites have been widely used in industry, though they have …